notebooks/Demo-analysing-scan-characteristics-book-sections.ipynb

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    "# Analysing individual inventories\n",
    "\n",
    "**Note**: This tutorial follows and depends on the tutorials on [Reading PageXML files from archives](./Demo-reading-pagexml-files-from-archive.ipynb) and [Gathering scan characteristics](./Demo-analysing-scan-characteristics.ipynb). It assumes you 1) have downloaded the PageXML archives, 2) derived line format files from them, and 3) derived document statistics per scan and stored them in a TSV file. \n",
    "\n",
    "This tutorial focuses on analysing a single large inventory of 672 scans.\n",
    "\n",
    "As an example of a zipped archive, this tutorial uses a dataset provided by the [National Archives of the Netherlands](https://www.nationaalarchief.nl/en) (NA) via their HTR repository on [Zenodo](https://zenodo.org/): https://zenodo.org/record/6414086#.Y8Elk-zMIUo. The repository contains many other HTR PageXML datasets that NA made available.\n",
    "\n",
    "The dataset contains HTR output in [PageXML](https://www.primaresearch.org/tools/PAGELibraries) format of scans from the following archive: \n",
    "- (medium) _Verspreide West-Indische stukken, 1614-1875, 1.05.06, 1-1413_ ([EAD](https://www.nationaalarchief.nl/onderzoeken/archief/1.05.06/invnr/%401?query=1.05.06&search-type=inventory)). This is an archive maintained by the [Nationaal Archief](https://www.nationaalarchief.nl/en). \n",
    "\n",
    "You can download the datasets via the following URLs:\n",
    "- https://zenodo.org/record/6414086/files/HTR%20results%201.05.06%20PAGE.zip?download=1\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "09833773",
   "metadata": {},
   "source": [
    "We start with loading the document statistics per scan that was generated in the [Gathering scan characteristics](./Demo-analysing-scan-characteristics.ipynb) tutorial. "
   ]
  },
  {
   "cell_type": "code",
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   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import seaborn as sns\n",
    "\n",
    "sns.set_theme()\n",
    "\n",
    "stats_file = '../data/na_scan_stats.tsv.gz'\n",
    "\n",
    "df = pd.read_csv(stats_file, sep='\\t', compression='gzip', index_col=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "1c0fe482",
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>doc_id</th>\n",
       "      <th>doc_num</th>\n",
       "      <th>doc_width</th>\n",
       "      <th>doc_height</th>\n",
       "      <th>lines</th>\n",
       "      <th>words</th>\n",
       "      <th>text_regions</th>\n",
       "      <th>columns</th>\n",
       "      <th>extra</th>\n",
       "      <th>pages</th>\n",
       "      <th>...</th>\n",
       "      <th>line_width_range_0-600</th>\n",
       "      <th>line_width_range_600-800</th>\n",
       "      <th>line_width_range_800-1300</th>\n",
       "      <th>line_width_range_1300-1600</th>\n",
       "      <th>line_width_range_1600-</th>\n",
       "      <th>archive_id</th>\n",
       "      <th>inv_num</th>\n",
       "      <th>scan_num</th>\n",
       "      <th>num_scans</th>\n",
       "      <th>iiif_url</th>\n",
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       "  </thead>\n",
       "  <tbody>\n",
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       "      <th>0</th>\n",
       "      <td>NL-HaNA_1.05.06_1_0001.jpg</td>\n",
       "      <td>1</td>\n",
       "      <td>2522</td>\n",
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       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>27</td>\n",
       "      <td>1.05.06</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>5</td>\n",
       "      <td>https://www.nationaalarchief.nl/onderzoeken/ar...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>NL-HaNA_1.05.06_1_0002.jpg</td>\n",
       "      <td>2</td>\n",
       "      <td>4861</td>\n",
       "      <td>3963</td>\n",
       "      <td>59</td>\n",
       "      <td>286</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
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       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>54</td>\n",
       "      <td>1.05.06</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>5</td>\n",
       "      <td>https://www.nationaalarchief.nl/onderzoeken/ar...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>NL-HaNA_1.05.06_1_0003.jpg</td>\n",
       "      <td>3</td>\n",
       "      <td>4886</td>\n",
       "      <td>3960</td>\n",
       "      <td>54</td>\n",
       "      <td>263</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>4</td>\n",
       "      <td>1</td>\n",
       "      <td>47</td>\n",
       "      <td>1.05.06</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>5</td>\n",
       "      <td>https://www.nationaalarchief.nl/onderzoeken/ar...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>NL-HaNA_1.05.06_1_0004.jpg</td>\n",
       "      <td>4</td>\n",
       "      <td>4882</td>\n",
       "      <td>3955</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
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       "      <td>0</td>\n",
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       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1.05.06</td>\n",
       "      <td>1</td>\n",
       "      <td>4</td>\n",
       "      <td>5</td>\n",
       "      <td>https://www.nationaalarchief.nl/onderzoeken/ar...</td>\n",
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       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>NL-HaNA_1.05.06_1_0005.jpg</td>\n",
       "      <td>5</td>\n",
       "      <td>2493</td>\n",
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       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1.05.06</td>\n",
       "      <td>1</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>https://www.nationaalarchief.nl/onderzoeken/ar...</td>\n",
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       "<p>5 rows × 44 columns</p>\n",
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       "                       doc_id  doc_num  doc_width  doc_height  lines  words  \\\n",
       "0  NL-HaNA_1.05.06_1_0001.jpg        1       2522        3957     33    165   \n",
       "1  NL-HaNA_1.05.06_1_0002.jpg        2       4861        3963     59    286   \n",
       "2  NL-HaNA_1.05.06_1_0003.jpg        3       4886        3960     54    263   \n",
       "3  NL-HaNA_1.05.06_1_0004.jpg        4       4882        3955      0      0   \n",
       "4  NL-HaNA_1.05.06_1_0005.jpg        5       2493        3964      0      0   \n",
       "\n",
       "   text_regions  columns  extra  pages  ...  line_width_range_0-600  \\\n",
       "0             1        0      0      0  ...                       4   \n",
       "1             2        0      0      0  ...                       3   \n",
       "2             2        0      0      0  ...                       2   \n",
       "3             0        0      0      0  ...                       0   \n",
       "4             0        0      0      0  ...                       0   \n",
       "\n",
       "   line_width_range_600-800  line_width_range_800-1300  \\\n",
       "0                         0                          2   \n",
       "1                         0                          0   \n",
       "2                         0                          4   \n",
       "3                         0                          0   \n",
       "4                         0                          0   \n",
       "\n",
       "   line_width_range_1300-1600  line_width_range_1600-  archive_id  inv_num  \\\n",
       "0                           0                      27     1.05.06        1   \n",
       "1                           2                      54     1.05.06        1   \n",
       "2                           1                      47     1.05.06        1   \n",
       "3                           0                       0     1.05.06        1   \n",
       "4                           0                       0     1.05.06        1   \n",
       "\n",
       "   scan_num  num_scans                                           iiif_url  \n",
       "0         1          5  https://www.nationaalarchief.nl/onderzoeken/ar...  \n",
       "1         2          5  https://www.nationaalarchief.nl/onderzoeken/ar...  \n",
       "2         3          5  https://www.nationaalarchief.nl/onderzoeken/ar...  \n",
       "3         4          5  https://www.nationaalarchief.nl/onderzoeken/ar...  \n",
       "4         5          5  https://www.nationaalarchief.nl/onderzoeken/ar...  \n",
       "\n",
       "[5 rows x 44 columns]"
      ]
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     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.head(5)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "f26ce0c1",
   "metadata": {},
   "source": [
    "The `inv_num` column contains the inventory number of each scan. A distribution plot shows that the majority of inventories have only a few scans, but some have hundreds of scans."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "52a3ee94",
   "metadata": {
    "scrolled": true
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    {
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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "df.inv_num.value_counts().plot();"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "a54a6362",
   "metadata": {},
   "source": [
    "A count shows how many scans there are per inventory:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "22ae8dab",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "44       672\n",
       "1167     583\n",
       "45       488\n",
       "1182     448\n",
       "812      416\n",
       "        ... \n",
       "525        2\n",
       "1148       2\n",
       "1388       2\n",
       "905        2\n",
       "1360A      2\n",
       "Name: inv_num, Length: 533, dtype: int64"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.inv_num.value_counts()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "3330254e",
   "metadata": {},
   "source": [
    "Let's zoom in on inventory 44, which has 672 scans."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "a12b2edd",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>doc_num</th>\n",
       "      <th>doc_width</th>\n",
       "      <th>doc_height</th>\n",
       "      <th>lines</th>\n",
       "      <th>words</th>\n",
       "      <th>text_regions</th>\n",
       "      <th>columns</th>\n",
       "      <th>extra</th>\n",
       "      <th>pages</th>\n",
       "      <th>num_words</th>\n",
       "      <th>...</th>\n",
       "      <th>num_words_length_20</th>\n",
       "      <th>num_words_length_25</th>\n",
       "      <th>num_words_length_30</th>\n",
       "      <th>line_width_range_0-600</th>\n",
       "      <th>line_width_range_600-800</th>\n",
       "      <th>line_width_range_800-1300</th>\n",
       "      <th>line_width_range_1300-1600</th>\n",
       "      <th>line_width_range_1600-</th>\n",
       "      <th>scan_num</th>\n",
       "      <th>num_scans</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>672.000000</td>\n",
       "      <td>672.000000</td>\n",
       "      <td>672.000000</td>\n",
       "      <td>672.000000</td>\n",
       "      <td>672.000000</td>\n",
       "      <td>672.000000</td>\n",
       "      <td>672.0</td>\n",
       "      <td>672.0</td>\n",
       "      <td>672.0</td>\n",
       "      <td>672.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>672.000000</td>\n",
       "      <td>672.000000</td>\n",
       "      <td>672.000000</td>\n",
       "      <td>672.000000</td>\n",
       "      <td>672.000000</td>\n",
       "      <td>672.000000</td>\n",
       "      <td>672.000000</td>\n",
       "      <td>672.000000</td>\n",
       "      <td>672.000000</td>\n",
       "      <td>672.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>9220.500000</td>\n",
       "      <td>5022.626488</td>\n",
       "      <td>4010.480655</td>\n",
       "      <td>59.645833</td>\n",
       "      <td>385.995536</td>\n",
       "      <td>2.389881</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>385.995536</td>\n",
       "      <td>...</td>\n",
       "      <td>0.950893</td>\n",
       "      <td>0.010417</td>\n",
       "      <td>0.002976</td>\n",
       "      <td>5.747024</td>\n",
       "      <td>0.909226</td>\n",
       "      <td>15.504464</td>\n",
       "      <td>7.008929</td>\n",
       "      <td>30.086310</td>\n",
       "      <td>336.500000</td>\n",
       "      <td>672.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>194.133974</td>\n",
       "      <td>201.025038</td>\n",
       "      <td>92.969233</td>\n",
       "      <td>28.521169</td>\n",
       "      <td>216.081617</td>\n",
       "      <td>1.358229</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>216.081617</td>\n",
       "      <td>...</td>\n",
       "      <td>1.316738</td>\n",
       "      <td>0.101605</td>\n",
       "      <td>0.054514</td>\n",
       "      <td>6.375366</td>\n",
       "      <td>1.366767</td>\n",
       "      <td>25.416823</td>\n",
       "      <td>17.015551</td>\n",
       "      <td>27.340732</td>\n",
       "      <td>194.133974</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>8885.000000</td>\n",
       "      <td>2587.000000</td>\n",
       "      <td>2754.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>672.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>9052.750000</td>\n",
       "      <td>4937.000000</td>\n",
       "      <td>3936.000000</td>\n",
       "      <td>45.000000</td>\n",
       "      <td>262.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>262.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>168.750000</td>\n",
       "      <td>672.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>9220.500000</td>\n",
       "      <td>5059.500000</td>\n",
       "      <td>4037.000000</td>\n",
       "      <td>65.000000</td>\n",
       "      <td>363.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>363.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>4.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>2.500000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>28.000000</td>\n",
       "      <td>336.500000</td>\n",
       "      <td>672.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>9388.250000</td>\n",
       "      <td>5116.000000</td>\n",
       "      <td>4060.000000</td>\n",
       "      <td>75.000000</td>\n",
       "      <td>522.500000</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>522.500000</td>\n",
       "      <td>...</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>8.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>12.000000</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>54.000000</td>\n",
       "      <td>504.250000</td>\n",
       "      <td>672.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>9556.000000</td>\n",
       "      <td>5281.000000</td>\n",
       "      <td>4262.000000</td>\n",
       "      <td>141.000000</td>\n",
       "      <td>964.000000</td>\n",
       "      <td>11.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>964.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>9.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>44.000000</td>\n",
       "      <td>13.000000</td>\n",
       "      <td>102.000000</td>\n",
       "      <td>106.000000</td>\n",
       "      <td>81.000000</td>\n",
       "      <td>672.000000</td>\n",
       "      <td>672.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>8 rows × 40 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "           doc_num    doc_width   doc_height       lines       words  \\\n",
       "count   672.000000   672.000000   672.000000  672.000000  672.000000   \n",
       "mean   9220.500000  5022.626488  4010.480655   59.645833  385.995536   \n",
       "std     194.133974   201.025038    92.969233   28.521169  216.081617   \n",
       "min    8885.000000  2587.000000  2754.000000    0.000000    0.000000   \n",
       "25%    9052.750000  4937.000000  3936.000000   45.000000  262.000000   \n",
       "50%    9220.500000  5059.500000  4037.000000   65.000000  363.000000   \n",
       "75%    9388.250000  5116.000000  4060.000000   75.000000  522.500000   \n",
       "max    9556.000000  5281.000000  4262.000000  141.000000  964.000000   \n",
       "\n",
       "       text_regions  columns  extra  pages   num_words  ...  \\\n",
       "count    672.000000    672.0  672.0  672.0  672.000000  ...   \n",
       "mean       2.389881      0.0    0.0    0.0  385.995536  ...   \n",
       "std        1.358229      0.0    0.0    0.0  216.081617  ...   \n",
       "min        0.000000      0.0    0.0    0.0    0.000000  ...   \n",
       "25%        2.000000      0.0    0.0    0.0  262.000000  ...   \n",
       "50%        2.000000      0.0    0.0    0.0  363.000000  ...   \n",
       "75%        3.000000      0.0    0.0    0.0  522.500000  ...   \n",
       "max       11.000000      0.0    0.0    0.0  964.000000  ...   \n",
       "\n",
       "       num_words_length_20  num_words_length_25  num_words_length_30  \\\n",
       "count           672.000000           672.000000           672.000000   \n",
       "mean              0.950893             0.010417             0.002976   \n",
       "std               1.316738             0.101605             0.054514   \n",
       "min               0.000000             0.000000             0.000000   \n",
       "25%               0.000000             0.000000             0.000000   \n",
       "50%               1.000000             0.000000             0.000000   \n",
       "75%               1.000000             0.000000             0.000000   \n",
       "max               9.000000             1.000000             1.000000   \n",
       "\n",
       "       line_width_range_0-600  line_width_range_600-800  \\\n",
       "count              672.000000                672.000000   \n",
       "mean                 5.747024                  0.909226   \n",
       "std                  6.375366                  1.366767   \n",
       "min                  0.000000                  0.000000   \n",
       "25%                  2.000000                  0.000000   \n",
       "50%                  4.000000                  0.000000   \n",
       "75%                  8.000000                  1.000000   \n",
       "max                 44.000000                 13.000000   \n",
       "\n",
       "       line_width_range_800-1300  line_width_range_1300-1600  \\\n",
       "count                 672.000000                  672.000000   \n",
       "mean                   15.504464                    7.008929   \n",
       "std                    25.416823                   17.015551   \n",
       "min                     0.000000                    0.000000   \n",
       "25%                     0.000000                    0.000000   \n",
       "50%                     2.500000                    1.000000   \n",
       "75%                    12.000000                    3.000000   \n",
       "max                   102.000000                  106.000000   \n",
       "\n",
       "       line_width_range_1600-    scan_num  num_scans  \n",
       "count              672.000000  672.000000      672.0  \n",
       "mean                30.086310  336.500000      672.0  \n",
       "std                 27.340732  194.133974        0.0  \n",
       "min                  0.000000    1.000000      672.0  \n",
       "25%                  0.000000  168.750000      672.0  \n",
       "50%                 28.000000  336.500000      672.0  \n",
       "75%                 54.000000  504.250000      672.0  \n",
       "max                 81.000000  672.000000      672.0  \n",
       "\n",
       "[8 rows x 40 columns]"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "inv_44 = df[df.inv_num == '44']\n",
    "\n",
    "inv_44.describe()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "aae90de3",
   "metadata": {},
   "source": [
    "### Book section detection\n",
    "\n",
    "One way to get insight into how a book is structured is to plot the number of words and lines per scan using the book order. Below, these are plotted as scatter plots."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "d3fff80e",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1152x1800 with 5 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "\n",
    "fields = [\n",
    "    'words', 'lines', \n",
    "    'line_width_range_800-1300', \n",
    "    'line_width_range_1300-1600', \n",
    "    'line_width_range_1600-'\n",
    "]\n",
    "\n",
    "fig, ax = plt.subplots(len(fields), 1)\n",
    "\n",
    "for fi, field in enumerate(fields):\n",
    "    sns.scatterplot(data=inv_44, x='scan_num', y=field, ax=ax[fi])\n",
    "    ax[fi].set_title(f\"Number of {field.replace('_', ' ').replace('width', 'in')}\", fontsize=16)\n",
    "\n",
    "fig.set_size_inches(16,5*len(fields))\n",
    "fig.tight_layout()\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "c79b5330",
   "metadata": {},
   "source": [
    "There seems to be a strong contrast between the plots of the latter two line width categories. That is, scans with a high number of lines in one category seem to have a low number in the other category. This might point at different types of scans, where each type has predominantly lines in one of the two categories.\n",
    "\n",
    "We can make a scatter plot of these two line width categories to confirm this:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "7a3034f0",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.scatterplot(data=inv_44, x='line_width_range_800-1300', y='line_width_range_1600-');"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "35f5f542",
   "metadata": {},
   "source": [
    "The two categories of line widths are almost mutually exclusive. Scans with at least some lines between 800 and 1300 pixels tend to have _no_ lines wider than 1600 pixels."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "179182bf",
   "metadata": {},
   "source": [
    "There are also many empty pages. Listing them with clickable viewer URLs allows us to see what these scans represent."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "b1890303",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<style type=\"text/css\">\n",
       "</style>\n",
       "<table id=\"T_6ba9f\">\n",
       "  <thead>\n",
       "    <tr>\n",
       "      <th class=\"blank level0\" >&nbsp;</th>\n",
       "      <th id=\"T_6ba9f_level0_col0\" class=\"col_heading level0 col0\" >num_words</th>\n",
       "      <th id=\"T_6ba9f_level0_col1\" class=\"col_heading level0 col1\" >scan_num</th>\n",
       "      <th id=\"T_6ba9f_level0_col2\" class=\"col_heading level0 col2\" >iiif_url</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th id=\"T_6ba9f_level0_row0\" class=\"row_heading level0 row0\" >8884</th>\n",
       "      <td id=\"T_6ba9f_row0_col0\" class=\"data row0 col0\" >0</td>\n",
       "      <td id=\"T_6ba9f_row0_col1\" class=\"data row0 col1\" >1</td>\n",
       "      <td id=\"T_6ba9f_row0_col2\" class=\"data row0 col2\" ><a target=\"_blank\" href=\"https://www.nationaalarchief.nl/onderzoeken/archief/1.05.06/invnr/44/file/NL-HaNA_1.05.06_44_0001?eadId=1.05.06&unitID=44\">https://www.nationaalarchief.nl/onderzoeken/archief/1.05.06/invnr/44/file/NL-HaNA_1.05.06_44_0001?eadId=1.05.06&unitID=44</a></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_6ba9f_level0_row1\" class=\"row_heading level0 row1\" >8885</th>\n",
       "      <td id=\"T_6ba9f_row1_col0\" class=\"data row1 col0\" >0</td>\n",
       "      <td id=\"T_6ba9f_row1_col1\" class=\"data row1 col1\" >2</td>\n",
       "      <td id=\"T_6ba9f_row1_col2\" class=\"data row1 col2\" ><a target=\"_blank\" href=\"https://www.nationaalarchief.nl/onderzoeken/archief/1.05.06/invnr/44/file/NL-HaNA_1.05.06_44_0002?eadId=1.05.06&unitID=44\">https://www.nationaalarchief.nl/onderzoeken/archief/1.05.06/invnr/44/file/NL-HaNA_1.05.06_44_0002?eadId=1.05.06&unitID=44</a></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_6ba9f_level0_row2\" class=\"row_heading level0 row2\" >8916</th>\n",
       "      <td id=\"T_6ba9f_row2_col0\" class=\"data row2 col0\" >0</td>\n",
       "      <td id=\"T_6ba9f_row2_col1\" class=\"data row2 col1\" >33</td>\n",
       "      <td id=\"T_6ba9f_row2_col2\" class=\"data row2 col2\" ><a target=\"_blank\" href=\"https://www.nationaalarchief.nl/onderzoeken/archief/1.05.06/invnr/44/file/NL-HaNA_1.05.06_44_0033?eadId=1.05.06&unitID=44\">https://www.nationaalarchief.nl/onderzoeken/archief/1.05.06/invnr/44/file/NL-HaNA_1.05.06_44_0033?eadId=1.05.06&unitID=44</a></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_6ba9f_level0_row3\" class=\"row_heading level0 row3\" >8917</th>\n",
       "      <td id=\"T_6ba9f_row3_col0\" class=\"data row3 col0\" >0</td>\n",
       "      <td id=\"T_6ba9f_row3_col1\" class=\"data row3 col1\" >34</td>\n",
       "      <td id=\"T_6ba9f_row3_col2\" class=\"data row3 col2\" ><a target=\"_blank\" href=\"https://www.nationaalarchief.nl/onderzoeken/archief/1.05.06/invnr/44/file/NL-HaNA_1.05.06_44_0034?eadId=1.05.06&unitID=44\">https://www.nationaalarchief.nl/onderzoeken/archief/1.05.06/invnr/44/file/NL-HaNA_1.05.06_44_0034?eadId=1.05.06&unitID=44</a></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_6ba9f_level0_row4\" class=\"row_heading level0 row4\" >8922</th>\n",
       "      <td id=\"T_6ba9f_row4_col0\" class=\"data row4 col0\" >0</td>\n",
       "      <td id=\"T_6ba9f_row4_col1\" class=\"data row4 col1\" >39</td>\n",
       "      <td id=\"T_6ba9f_row4_col2\" class=\"data row4 col2\" ><a target=\"_blank\" href=\"https://www.nationaalarchief.nl/onderzoeken/archief/1.05.06/invnr/44/file/NL-HaNA_1.05.06_44_0039?eadId=1.05.06&unitID=44\">https://www.nationaalarchief.nl/onderzoeken/archief/1.05.06/invnr/44/file/NL-HaNA_1.05.06_44_0039?eadId=1.05.06&unitID=44</a></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_6ba9f_level0_row5\" class=\"row_heading level0 row5\" >8932</th>\n",
       "      <td id=\"T_6ba9f_row5_col0\" class=\"data row5 col0\" >0</td>\n",
       "      <td id=\"T_6ba9f_row5_col1\" class=\"data row5 col1\" >49</td>\n",
       "      <td id=\"T_6ba9f_row5_col2\" class=\"data row5 col2\" ><a target=\"_blank\" href=\"https://www.nationaalarchief.nl/onderzoeken/archief/1.05.06/invnr/44/file/NL-HaNA_1.05.06_44_0049?eadId=1.05.06&unitID=44\">https://www.nationaalarchief.nl/onderzoeken/archief/1.05.06/invnr/44/file/NL-HaNA_1.05.06_44_0049?eadId=1.05.06&unitID=44</a></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_6ba9f_level0_row6\" class=\"row_heading level0 row6\" >8933</th>\n",
       "      <td id=\"T_6ba9f_row6_col0\" class=\"data row6 col0\" >16</td>\n",
       "      <td id=\"T_6ba9f_row6_col1\" class=\"data row6 col1\" >50</td>\n",
       "      <td id=\"T_6ba9f_row6_col2\" class=\"data row6 col2\" ><a target=\"_blank\" href=\"https://www.nationaalarchief.nl/onderzoeken/archief/1.05.06/invnr/44/file/NL-HaNA_1.05.06_44_0050?eadId=1.05.06&unitID=44\">https://www.nationaalarchief.nl/onderzoeken/archief/1.05.06/invnr/44/file/NL-HaNA_1.05.06_44_0050?eadId=1.05.06&unitID=44</a></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_6ba9f_level0_row7\" class=\"row_heading level0 row7\" >8934</th>\n",
       "      <td id=\"T_6ba9f_row7_col0\" class=\"data row7 col0\" >0</td>\n",
       "      <td id=\"T_6ba9f_row7_col1\" class=\"data row7 col1\" >51</td>\n",
       "      <td id=\"T_6ba9f_row7_col2\" class=\"data row7 col2\" ><a target=\"_blank\" href=\"https://www.nationaalarchief.nl/onderzoeken/archief/1.05.06/invnr/44/file/NL-HaNA_1.05.06_44_0051?eadId=1.05.06&unitID=44\">https://www.nationaalarchief.nl/onderzoeken/archief/1.05.06/invnr/44/file/NL-HaNA_1.05.06_44_0051?eadId=1.05.06&unitID=44</a></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_6ba9f_level0_row8\" class=\"row_heading level0 row8\" >8952</th>\n",
       "      <td id=\"T_6ba9f_row8_col0\" class=\"data row8 col0\" >0</td>\n",
       "      <td id=\"T_6ba9f_row8_col1\" class=\"data row8 col1\" >69</td>\n",
       "      <td id=\"T_6ba9f_row8_col2\" class=\"data row8 col2\" ><a target=\"_blank\" href=\"https://www.nationaalarchief.nl/onderzoeken/archief/1.05.06/invnr/44/file/NL-HaNA_1.05.06_44_0069?eadId=1.05.06&unitID=44\">https://www.nationaalarchief.nl/onderzoeken/archief/1.05.06/invnr/44/file/NL-HaNA_1.05.06_44_0069?eadId=1.05.06&unitID=44</a></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_6ba9f_level0_row9\" class=\"row_heading level0 row9\" >8961</th>\n",
       "      <td id=\"T_6ba9f_row9_col0\" class=\"data row9 col0\" >0</td>\n",
       "      <td id=\"T_6ba9f_row9_col1\" class=\"data row9 col1\" >78</td>\n",
       "      <td id=\"T_6ba9f_row9_col2\" class=\"data row9 col2\" ><a target=\"_blank\" href=\"https://www.nationaalarchief.nl/onderzoeken/archief/1.05.06/invnr/44/file/NL-HaNA_1.05.06_44_0078?eadId=1.05.06&unitID=44\">https://www.nationaalarchief.nl/onderzoeken/archief/1.05.06/invnr/44/file/NL-HaNA_1.05.06_44_0078?eadId=1.05.06&unitID=44</a></td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n"
      ],
      "text/plain": [
       "<pandas.io.formats.style.Styler at 0x16886d1e0>"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# https://www.nationaalarchief.nl/onderzoeken/archief/1.05.06/invnr/1/file/NL-HaNA_1.05.06_1_0001?eadID=1.05.06&unitID=1&query=1.05.06\n",
    "def make_iiif_url(row):\n",
    "    base_url = 'https://www.nationaalarchief.nl/onderzoeken/archief'\n",
    "    return f\"{base_url}/{row['archive_id']}/invnr/{row['inv_num']}/file/{row['doc_id'][:-4]}?eadId={row['archive_id']}&unitID={row['inv_num']}\"\n",
    "\n",
    "\n",
    "def make_clickable(val):\n",
    "    return f'<a target=\"_blank\" href=\"{val}\">{val}</a>'\n",
    "\n",
    "\n",
    "inv_44[inv_44.num_words < 20][['num_words', 'scan_num', 'iiif_url']].head(10).style.format({'iiif_url': make_clickable})"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "ecf4e139",
   "metadata": {},
   "source": [
    "It seems that these empty scans are mostly boundaries between individual documents that are bundled together in this single inventory. **Empty scans** can thus be a useful signal to detect boundaries between documents. \n",
    "\n",
    "The scatter plots with the numbers of lines and words per scan also show several _sequences_ of pages with roughly the same number of lines and words (e.g. from around 280 to 350). These might be sections of similar pages within a larger book."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "97a209a1",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<style type=\"text/css\">\n",
       "</style>\n",
       "<table id=\"T_e58a4\">\n",
       "  <thead>\n",
       "    <tr>\n",
       "      <th class=\"blank level0\" >&nbsp;</th>\n",
       "      <th id=\"T_e58a4_level0_col0\" class=\"col_heading level0 col0\" >doc_id</th>\n",
       "      <th id=\"T_e58a4_level0_col1\" class=\"col_heading level0 col1\" >iiif_url</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th id=\"T_e58a4_level0_row0\" class=\"row_heading level0 row0\" >9163</th>\n",
       "      <td id=\"T_e58a4_row0_col0\" class=\"data row0 col0\" >NL-HaNA_1.05.06_44_0280.jpg</td>\n",
       "      <td id=\"T_e58a4_row0_col1\" class=\"data row0 col1\" ><a target=\"_blank\" href=\"https://www.nationaalarchief.nl/onderzoeken/archief/1.05.06/invnr/44/file/NL-HaNA_1.05.06_44_0280?eadId=1.05.06&unitID=44\">https://www.nationaalarchief.nl/onderzoeken/archief/1.05.06/invnr/44/file/NL-HaNA_1.05.06_44_0280?eadId=1.05.06&unitID=44</a></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_e58a4_level0_row1\" class=\"row_heading level0 row1\" >9164</th>\n",
       "      <td id=\"T_e58a4_row1_col0\" class=\"data row1 col0\" >NL-HaNA_1.05.06_44_0281.jpg</td>\n",
       "      <td id=\"T_e58a4_row1_col1\" class=\"data row1 col1\" ><a target=\"_blank\" href=\"https://www.nationaalarchief.nl/onderzoeken/archief/1.05.06/invnr/44/file/NL-HaNA_1.05.06_44_0281?eadId=1.05.06&unitID=44\">https://www.nationaalarchief.nl/onderzoeken/archief/1.05.06/invnr/44/file/NL-HaNA_1.05.06_44_0281?eadId=1.05.06&unitID=44</a></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_e58a4_level0_row2\" class=\"row_heading level0 row2\" >9165</th>\n",
       "      <td id=\"T_e58a4_row2_col0\" class=\"data row2 col0\" >NL-HaNA_1.05.06_44_0282.jpg</td>\n",
       "      <td id=\"T_e58a4_row2_col1\" class=\"data row2 col1\" ><a target=\"_blank\" href=\"https://www.nationaalarchief.nl/onderzoeken/archief/1.05.06/invnr/44/file/NL-HaNA_1.05.06_44_0282?eadId=1.05.06&unitID=44\">https://www.nationaalarchief.nl/onderzoeken/archief/1.05.06/invnr/44/file/NL-HaNA_1.05.06_44_0282?eadId=1.05.06&unitID=44</a></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_e58a4_level0_row3\" class=\"row_heading level0 row3\" >9166</th>\n",
       "      <td id=\"T_e58a4_row3_col0\" class=\"data row3 col0\" >NL-HaNA_1.05.06_44_0283.jpg</td>\n",
       "      <td id=\"T_e58a4_row3_col1\" class=\"data row3 col1\" ><a target=\"_blank\" href=\"https://www.nationaalarchief.nl/onderzoeken/archief/1.05.06/invnr/44/file/NL-HaNA_1.05.06_44_0283?eadId=1.05.06&unitID=44\">https://www.nationaalarchief.nl/onderzoeken/archief/1.05.06/invnr/44/file/NL-HaNA_1.05.06_44_0283?eadId=1.05.06&unitID=44</a></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_e58a4_level0_row4\" class=\"row_heading level0 row4\" >9167</th>\n",
       "      <td id=\"T_e58a4_row4_col0\" class=\"data row4 col0\" >NL-HaNA_1.05.06_44_0284.jpg</td>\n",
       "      <td id=\"T_e58a4_row4_col1\" class=\"data row4 col1\" ><a target=\"_blank\" href=\"https://www.nationaalarchief.nl/onderzoeken/archief/1.05.06/invnr/44/file/NL-HaNA_1.05.06_44_0284?eadId=1.05.06&unitID=44\">https://www.nationaalarchief.nl/onderzoeken/archief/1.05.06/invnr/44/file/NL-HaNA_1.05.06_44_0284?eadId=1.05.06&unitID=44</a></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_e58a4_level0_row5\" class=\"row_heading level0 row5\" >9168</th>\n",
       "      <td id=\"T_e58a4_row5_col0\" class=\"data row5 col0\" >NL-HaNA_1.05.06_44_0285.jpg</td>\n",
       "      <td id=\"T_e58a4_row5_col1\" class=\"data row5 col1\" ><a target=\"_blank\" href=\"https://www.nationaalarchief.nl/onderzoeken/archief/1.05.06/invnr/44/file/NL-HaNA_1.05.06_44_0285?eadId=1.05.06&unitID=44\">https://www.nationaalarchief.nl/onderzoeken/archief/1.05.06/invnr/44/file/NL-HaNA_1.05.06_44_0285?eadId=1.05.06&unitID=44</a></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_e58a4_level0_row6\" class=\"row_heading level0 row6\" >9169</th>\n",
       "      <td id=\"T_e58a4_row6_col0\" class=\"data row6 col0\" >NL-HaNA_1.05.06_44_0286.jpg</td>\n",
       "      <td id=\"T_e58a4_row6_col1\" class=\"data row6 col1\" ><a target=\"_blank\" href=\"https://www.nationaalarchief.nl/onderzoeken/archief/1.05.06/invnr/44/file/NL-HaNA_1.05.06_44_0286?eadId=1.05.06&unitID=44\">https://www.nationaalarchief.nl/onderzoeken/archief/1.05.06/invnr/44/file/NL-HaNA_1.05.06_44_0286?eadId=1.05.06&unitID=44</a></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_e58a4_level0_row7\" class=\"row_heading level0 row7\" >9170</th>\n",
       "      <td id=\"T_e58a4_row7_col0\" class=\"data row7 col0\" >NL-HaNA_1.05.06_44_0287.jpg</td>\n",
       "      <td id=\"T_e58a4_row7_col1\" class=\"data row7 col1\" ><a target=\"_blank\" href=\"https://www.nationaalarchief.nl/onderzoeken/archief/1.05.06/invnr/44/file/NL-HaNA_1.05.06_44_0287?eadId=1.05.06&unitID=44\">https://www.nationaalarchief.nl/onderzoeken/archief/1.05.06/invnr/44/file/NL-HaNA_1.05.06_44_0287?eadId=1.05.06&unitID=44</a></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_e58a4_level0_row8\" class=\"row_heading level0 row8\" >9171</th>\n",
       "      <td id=\"T_e58a4_row8_col0\" class=\"data row8 col0\" >NL-HaNA_1.05.06_44_0288.jpg</td>\n",
       "      <td id=\"T_e58a4_row8_col1\" class=\"data row8 col1\" ><a target=\"_blank\" href=\"https://www.nationaalarchief.nl/onderzoeken/archief/1.05.06/invnr/44/file/NL-HaNA_1.05.06_44_0288?eadId=1.05.06&unitID=44\">https://www.nationaalarchief.nl/onderzoeken/archief/1.05.06/invnr/44/file/NL-HaNA_1.05.06_44_0288?eadId=1.05.06&unitID=44</a></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_e58a4_level0_row9\" class=\"row_heading level0 row9\" >9172</th>\n",
       "      <td id=\"T_e58a4_row9_col0\" class=\"data row9 col0\" >NL-HaNA_1.05.06_44_0289.jpg</td>\n",
       "      <td id=\"T_e58a4_row9_col1\" class=\"data row9 col1\" ><a target=\"_blank\" href=\"https://www.nationaalarchief.nl/onderzoeken/archief/1.05.06/invnr/44/file/NL-HaNA_1.05.06_44_0289?eadId=1.05.06&unitID=44\">https://www.nationaalarchief.nl/onderzoeken/archief/1.05.06/invnr/44/file/NL-HaNA_1.05.06_44_0289?eadId=1.05.06&unitID=44</a></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_e58a4_level0_row10\" class=\"row_heading level0 row10\" >9173</th>\n",
       "      <td id=\"T_e58a4_row10_col0\" class=\"data row10 col0\" >NL-HaNA_1.05.06_44_0290.jpg</td>\n",
       "      <td id=\"T_e58a4_row10_col1\" class=\"data row10 col1\" ><a target=\"_blank\" href=\"https://www.nationaalarchief.nl/onderzoeken/archief/1.05.06/invnr/44/file/NL-HaNA_1.05.06_44_0290?eadId=1.05.06&unitID=44\">https://www.nationaalarchief.nl/onderzoeken/archief/1.05.06/invnr/44/file/NL-HaNA_1.05.06_44_0290?eadId=1.05.06&unitID=44</a></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_e58a4_level0_row11\" class=\"row_heading level0 row11\" >9174</th>\n",
       "      <td id=\"T_e58a4_row11_col0\" class=\"data row11 col0\" >NL-HaNA_1.05.06_44_0291.jpg</td>\n",
       "      <td id=\"T_e58a4_row11_col1\" class=\"data row11 col1\" ><a target=\"_blank\" href=\"https://www.nationaalarchief.nl/onderzoeken/archief/1.05.06/invnr/44/file/NL-HaNA_1.05.06_44_0291?eadId=1.05.06&unitID=44\">https://www.nationaalarchief.nl/onderzoeken/archief/1.05.06/invnr/44/file/NL-HaNA_1.05.06_44_0291?eadId=1.05.06&unitID=44</a></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_e58a4_level0_row12\" class=\"row_heading level0 row12\" >9175</th>\n",
       "      <td id=\"T_e58a4_row12_col0\" class=\"data row12 col0\" >NL-HaNA_1.05.06_44_0292.jpg</td>\n",
       "      <td id=\"T_e58a4_row12_col1\" class=\"data row12 col1\" ><a target=\"_blank\" href=\"https://www.nationaalarchief.nl/onderzoeken/archief/1.05.06/invnr/44/file/NL-HaNA_1.05.06_44_0292?eadId=1.05.06&unitID=44\">https://www.nationaalarchief.nl/onderzoeken/archief/1.05.06/invnr/44/file/NL-HaNA_1.05.06_44_0292?eadId=1.05.06&unitID=44</a></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_e58a4_level0_row13\" class=\"row_heading level0 row13\" >9176</th>\n",
       "      <td id=\"T_e58a4_row13_col0\" class=\"data row13 col0\" >NL-HaNA_1.05.06_44_0293.jpg</td>\n",
       "      <td id=\"T_e58a4_row13_col1\" class=\"data row13 col1\" ><a target=\"_blank\" href=\"https://www.nationaalarchief.nl/onderzoeken/archief/1.05.06/invnr/44/file/NL-HaNA_1.05.06_44_0293?eadId=1.05.06&unitID=44\">https://www.nationaalarchief.nl/onderzoeken/archief/1.05.06/invnr/44/file/NL-HaNA_1.05.06_44_0293?eadId=1.05.06&unitID=44</a></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_e58a4_level0_row14\" class=\"row_heading level0 row14\" >9177</th>\n",
       "      <td id=\"T_e58a4_row14_col0\" class=\"data row14 col0\" >NL-HaNA_1.05.06_44_0294.jpg</td>\n",
       "      <td id=\"T_e58a4_row14_col1\" class=\"data row14 col1\" ><a target=\"_blank\" href=\"https://www.nationaalarchief.nl/onderzoeken/archief/1.05.06/invnr/44/file/NL-HaNA_1.05.06_44_0294?eadId=1.05.06&unitID=44\">https://www.nationaalarchief.nl/onderzoeken/archief/1.05.06/invnr/44/file/NL-HaNA_1.05.06_44_0294?eadId=1.05.06&unitID=44</a></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_e58a4_level0_row15\" class=\"row_heading level0 row15\" >9178</th>\n",
       "      <td id=\"T_e58a4_row15_col0\" class=\"data row15 col0\" >NL-HaNA_1.05.06_44_0295.jpg</td>\n",
       "      <td id=\"T_e58a4_row15_col1\" class=\"data row15 col1\" ><a target=\"_blank\" href=\"https://www.nationaalarchief.nl/onderzoeken/archief/1.05.06/invnr/44/file/NL-HaNA_1.05.06_44_0295?eadId=1.05.06&unitID=44\">https://www.nationaalarchief.nl/onderzoeken/archief/1.05.06/invnr/44/file/NL-HaNA_1.05.06_44_0295?eadId=1.05.06&unitID=44</a></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_e58a4_level0_row16\" class=\"row_heading level0 row16\" >9179</th>\n",
       "      <td id=\"T_e58a4_row16_col0\" class=\"data row16 col0\" >NL-HaNA_1.05.06_44_0296.jpg</td>\n",
       "      <td id=\"T_e58a4_row16_col1\" class=\"data row16 col1\" ><a target=\"_blank\" href=\"https://www.nationaalarchief.nl/onderzoeken/archief/1.05.06/invnr/44/file/NL-HaNA_1.05.06_44_0296?eadId=1.05.06&unitID=44\">https://www.nationaalarchief.nl/onderzoeken/archief/1.05.06/invnr/44/file/NL-HaNA_1.05.06_44_0296?eadId=1.05.06&unitID=44</a></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_e58a4_level0_row17\" class=\"row_heading level0 row17\" >9180</th>\n",
       "      <td id=\"T_e58a4_row17_col0\" class=\"data row17 col0\" >NL-HaNA_1.05.06_44_0297.jpg</td>\n",
       "      <td id=\"T_e58a4_row17_col1\" class=\"data row17 col1\" ><a target=\"_blank\" href=\"https://www.nationaalarchief.nl/onderzoeken/archief/1.05.06/invnr/44/file/NL-HaNA_1.05.06_44_0297?eadId=1.05.06&unitID=44\">https://www.nationaalarchief.nl/onderzoeken/archief/1.05.06/invnr/44/file/NL-HaNA_1.05.06_44_0297?eadId=1.05.06&unitID=44</a></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_e58a4_level0_row18\" class=\"row_heading level0 row18\" >9181</th>\n",
       "      <td id=\"T_e58a4_row18_col0\" class=\"data row18 col0\" >NL-HaNA_1.05.06_44_0298.jpg</td>\n",
       "      <td id=\"T_e58a4_row18_col1\" class=\"data row18 col1\" ><a target=\"_blank\" href=\"https://www.nationaalarchief.nl/onderzoeken/archief/1.05.06/invnr/44/file/NL-HaNA_1.05.06_44_0298?eadId=1.05.06&unitID=44\">https://www.nationaalarchief.nl/onderzoeken/archief/1.05.06/invnr/44/file/NL-HaNA_1.05.06_44_0298?eadId=1.05.06&unitID=44</a></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_e58a4_level0_row19\" class=\"row_heading level0 row19\" >9182</th>\n",
       "      <td id=\"T_e58a4_row19_col0\" class=\"data row19 col0\" >NL-HaNA_1.05.06_44_0299.jpg</td>\n",
       "      <td id=\"T_e58a4_row19_col1\" class=\"data row19 col1\" ><a target=\"_blank\" href=\"https://www.nationaalarchief.nl/onderzoeken/archief/1.05.06/invnr/44/file/NL-HaNA_1.05.06_44_0299?eadId=1.05.06&unitID=44\">https://www.nationaalarchief.nl/onderzoeken/archief/1.05.06/invnr/44/file/NL-HaNA_1.05.06_44_0299?eadId=1.05.06&unitID=44</a></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_e58a4_level0_row20\" class=\"row_heading level0 row20\" >9183</th>\n",
       "      <td id=\"T_e58a4_row20_col0\" class=\"data row20 col0\" >NL-HaNA_1.05.06_44_0300.jpg</td>\n",
       "      <td id=\"T_e58a4_row20_col1\" class=\"data row20 col1\" ><a target=\"_blank\" href=\"https://www.nationaalarchief.nl/onderzoeken/archief/1.05.06/invnr/44/file/NL-HaNA_1.05.06_44_0300?eadId=1.05.06&unitID=44\">https://www.nationaalarchief.nl/onderzoeken/archief/1.05.06/invnr/44/file/NL-HaNA_1.05.06_44_0300?eadId=1.05.06&unitID=44</a></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_e58a4_level0_row21\" class=\"row_heading level0 row21\" >9184</th>\n",
       "      <td id=\"T_e58a4_row21_col0\" class=\"data row21 col0\" >NL-HaNA_1.05.06_44_0301.jpg</td>\n",
       "      <td id=\"T_e58a4_row21_col1\" class=\"data row21 col1\" ><a target=\"_blank\" href=\"https://www.nationaalarchief.nl/onderzoeken/archief/1.05.06/invnr/44/file/NL-HaNA_1.05.06_44_0301?eadId=1.05.06&unitID=44\">https://www.nationaalarchief.nl/onderzoeken/archief/1.05.06/invnr/44/file/NL-HaNA_1.05.06_44_0301?eadId=1.05.06&unitID=44</a></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_e58a4_level0_row22\" class=\"row_heading level0 row22\" >9185</th>\n",
       "      <td id=\"T_e58a4_row22_col0\" class=\"data row22 col0\" >NL-HaNA_1.05.06_44_0302.jpg</td>\n",
       "      <td id=\"T_e58a4_row22_col1\" class=\"data row22 col1\" ><a target=\"_blank\" href=\"https://www.nationaalarchief.nl/onderzoeken/archief/1.05.06/invnr/44/file/NL-HaNA_1.05.06_44_0302?eadId=1.05.06&unitID=44\">https://www.nationaalarchief.nl/onderzoeken/archief/1.05.06/invnr/44/file/NL-HaNA_1.05.06_44_0302?eadId=1.05.06&unitID=44</a></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_e58a4_level0_row23\" class=\"row_heading level0 row23\" >9186</th>\n",
       "      <td id=\"T_e58a4_row23_col0\" class=\"data row23 col0\" >NL-HaNA_1.05.06_44_0303.jpg</td>\n",
       "      <td id=\"T_e58a4_row23_col1\" class=\"data row23 col1\" ><a target=\"_blank\" href=\"https://www.nationaalarchief.nl/onderzoeken/archief/1.05.06/invnr/44/file/NL-HaNA_1.05.06_44_0303?eadId=1.05.06&unitID=44\">https://www.nationaalarchief.nl/onderzoeken/archief/1.05.06/invnr/44/file/NL-HaNA_1.05.06_44_0303?eadId=1.05.06&unitID=44</a></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_e58a4_level0_row24\" class=\"row_heading level0 row24\" >9187</th>\n",
       "      <td id=\"T_e58a4_row24_col0\" class=\"data row24 col0\" >NL-HaNA_1.05.06_44_0304.jpg</td>\n",
       "      <td id=\"T_e58a4_row24_col1\" class=\"data row24 col1\" ><a target=\"_blank\" href=\"https://www.nationaalarchief.nl/onderzoeken/archief/1.05.06/invnr/44/file/NL-HaNA_1.05.06_44_0304?eadId=1.05.06&unitID=44\">https://www.nationaalarchief.nl/onderzoeken/archief/1.05.06/invnr/44/file/NL-HaNA_1.05.06_44_0304?eadId=1.05.06&unitID=44</a></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_e58a4_level0_row25\" class=\"row_heading level0 row25\" >9188</th>\n",
       "      <td id=\"T_e58a4_row25_col0\" class=\"data row25 col0\" >NL-HaNA_1.05.06_44_0305.jpg</td>\n",
       "      <td id=\"T_e58a4_row25_col1\" class=\"data row25 col1\" ><a target=\"_blank\" href=\"https://www.nationaalarchief.nl/onderzoeken/archief/1.05.06/invnr/44/file/NL-HaNA_1.05.06_44_0305?eadId=1.05.06&unitID=44\">https://www.nationaalarchief.nl/onderzoeken/archief/1.05.06/invnr/44/file/NL-HaNA_1.05.06_44_0305?eadId=1.05.06&unitID=44</a></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_e58a4_level0_row26\" class=\"row_heading level0 row26\" >9189</th>\n",
       "      <td id=\"T_e58a4_row26_col0\" class=\"data row26 col0\" >NL-HaNA_1.05.06_44_0306.jpg</td>\n",
       "      <td id=\"T_e58a4_row26_col1\" class=\"data row26 col1\" ><a target=\"_blank\" href=\"https://www.nationaalarchief.nl/onderzoeken/archief/1.05.06/invnr/44/file/NL-HaNA_1.05.06_44_0306?eadId=1.05.06&unitID=44\">https://www.nationaalarchief.nl/onderzoeken/archief/1.05.06/invnr/44/file/NL-HaNA_1.05.06_44_0306?eadId=1.05.06&unitID=44</a></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_e58a4_level0_row27\" class=\"row_heading level0 row27\" >9190</th>\n",
       "      <td id=\"T_e58a4_row27_col0\" class=\"data row27 col0\" >NL-HaNA_1.05.06_44_0307.jpg</td>\n",
       "      <td id=\"T_e58a4_row27_col1\" class=\"data row27 col1\" ><a target=\"_blank\" href=\"https://www.nationaalarchief.nl/onderzoeken/archief/1.05.06/invnr/44/file/NL-HaNA_1.05.06_44_0307?eadId=1.05.06&unitID=44\">https://www.nationaalarchief.nl/onderzoeken/archief/1.05.06/invnr/44/file/NL-HaNA_1.05.06_44_0307?eadId=1.05.06&unitID=44</a></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_e58a4_level0_row28\" class=\"row_heading level0 row28\" >9191</th>\n",
       "      <td id=\"T_e58a4_row28_col0\" class=\"data row28 col0\" >NL-HaNA_1.05.06_44_0308.jpg</td>\n",
       "      <td id=\"T_e58a4_row28_col1\" class=\"data row28 col1\" ><a target=\"_blank\" href=\"https://www.nationaalarchief.nl/onderzoeken/archief/1.05.06/invnr/44/file/NL-HaNA_1.05.06_44_0308?eadId=1.05.06&unitID=44\">https://www.nationaalarchief.nl/onderzoeken/archief/1.05.06/invnr/44/file/NL-HaNA_1.05.06_44_0308?eadId=1.05.06&unitID=44</a></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_e58a4_level0_row29\" class=\"row_heading level0 row29\" >9192</th>\n",
       "      <td id=\"T_e58a4_row29_col0\" class=\"data row29 col0\" >NL-HaNA_1.05.06_44_0309.jpg</td>\n",
       "      <td id=\"T_e58a4_row29_col1\" class=\"data row29 col1\" ><a target=\"_blank\" href=\"https://www.nationaalarchief.nl/onderzoeken/archief/1.05.06/invnr/44/file/NL-HaNA_1.05.06_44_0309?eadId=1.05.06&unitID=44\">https://www.nationaalarchief.nl/onderzoeken/archief/1.05.06/invnr/44/file/NL-HaNA_1.05.06_44_0309?eadId=1.05.06&unitID=44</a></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_e58a4_level0_row30\" class=\"row_heading level0 row30\" >9193</th>\n",
       "      <td id=\"T_e58a4_row30_col0\" class=\"data row30 col0\" >NL-HaNA_1.05.06_44_0310.jpg</td>\n",
       "      <td id=\"T_e58a4_row30_col1\" class=\"data row30 col1\" ><a target=\"_blank\" href=\"https://www.nationaalarchief.nl/onderzoeken/archief/1.05.06/invnr/44/file/NL-HaNA_1.05.06_44_0310?eadId=1.05.06&unitID=44\">https://www.nationaalarchief.nl/onderzoeken/archief/1.05.06/invnr/44/file/NL-HaNA_1.05.06_44_0310?eadId=1.05.06&unitID=44</a></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_e58a4_level0_row31\" class=\"row_heading level0 row31\" >9194</th>\n",
       "      <td id=\"T_e58a4_row31_col0\" class=\"data row31 col0\" >NL-HaNA_1.05.06_44_0311.jpg</td>\n",
       "      <td id=\"T_e58a4_row31_col1\" class=\"data row31 col1\" ><a target=\"_blank\" href=\"https://www.nationaalarchief.nl/onderzoeken/archief/1.05.06/invnr/44/file/NL-HaNA_1.05.06_44_0311?eadId=1.05.06&unitID=44\">https://www.nationaalarchief.nl/onderzoeken/archief/1.05.06/invnr/44/file/NL-HaNA_1.05.06_44_0311?eadId=1.05.06&unitID=44</a></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_e58a4_level0_row32\" class=\"row_heading level0 row32\" >9195</th>\n",
       "      <td id=\"T_e58a4_row32_col0\" class=\"data row32 col0\" >NL-HaNA_1.05.06_44_0312.jpg</td>\n",
       "      <td id=\"T_e58a4_row32_col1\" class=\"data row32 col1\" ><a target=\"_blank\" href=\"https://www.nationaalarchief.nl/onderzoeken/archief/1.05.06/invnr/44/file/NL-HaNA_1.05.06_44_0312?eadId=1.05.06&unitID=44\">https://www.nationaalarchief.nl/onderzoeken/archief/1.05.06/invnr/44/file/NL-HaNA_1.05.06_44_0312?eadId=1.05.06&unitID=44</a></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_e58a4_level0_row33\" class=\"row_heading level0 row33\" >9196</th>\n",
       "      <td id=\"T_e58a4_row33_col0\" class=\"data row33 col0\" >NL-HaNA_1.05.06_44_0313.jpg</td>\n",
       "      <td id=\"T_e58a4_row33_col1\" class=\"data row33 col1\" ><a target=\"_blank\" href=\"https://www.nationaalarchief.nl/onderzoeken/archief/1.05.06/invnr/44/file/NL-HaNA_1.05.06_44_0313?eadId=1.05.06&unitID=44\">https://www.nationaalarchief.nl/onderzoeken/archief/1.05.06/invnr/44/file/NL-HaNA_1.05.06_44_0313?eadId=1.05.06&unitID=44</a></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_e58a4_level0_row34\" class=\"row_heading level0 row34\" >9197</th>\n",
       "      <td id=\"T_e58a4_row34_col0\" class=\"data row34 col0\" >NL-HaNA_1.05.06_44_0314.jpg</td>\n",
       "      <td id=\"T_e58a4_row34_col1\" class=\"data row34 col1\" ><a target=\"_blank\" href=\"https://www.nationaalarchief.nl/onderzoeken/archief/1.05.06/invnr/44/file/NL-HaNA_1.05.06_44_0314?eadId=1.05.06&unitID=44\">https://www.nationaalarchief.nl/onderzoeken/archief/1.05.06/invnr/44/file/NL-HaNA_1.05.06_44_0314?eadId=1.05.06&unitID=44</a></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_e58a4_level0_row35\" class=\"row_heading level0 row35\" >9198</th>\n",
       "      <td id=\"T_e58a4_row35_col0\" class=\"data row35 col0\" >NL-HaNA_1.05.06_44_0315.jpg</td>\n",
       "      <td id=\"T_e58a4_row35_col1\" class=\"data row35 col1\" ><a target=\"_blank\" href=\"https://www.nationaalarchief.nl/onderzoeken/archief/1.05.06/invnr/44/file/NL-HaNA_1.05.06_44_0315?eadId=1.05.06&unitID=44\">https://www.nationaalarchief.nl/onderzoeken/archief/1.05.06/invnr/44/file/NL-HaNA_1.05.06_44_0315?eadId=1.05.06&unitID=44</a></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_e58a4_level0_row36\" class=\"row_heading level0 row36\" >9199</th>\n",
       "      <td id=\"T_e58a4_row36_col0\" class=\"data row36 col0\" >NL-HaNA_1.05.06_44_0316.jpg</td>\n",
       "      <td id=\"T_e58a4_row36_col1\" class=\"data row36 col1\" ><a target=\"_blank\" href=\"https://www.nationaalarchief.nl/onderzoeken/archief/1.05.06/invnr/44/file/NL-HaNA_1.05.06_44_0316?eadId=1.05.06&unitID=44\">https://www.nationaalarchief.nl/onderzoeken/archief/1.05.06/invnr/44/file/NL-HaNA_1.05.06_44_0316?eadId=1.05.06&unitID=44</a></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_e58a4_level0_row37\" class=\"row_heading level0 row37\" >9200</th>\n",
       "      <td id=\"T_e58a4_row37_col0\" class=\"data row37 col0\" >NL-HaNA_1.05.06_44_0317.jpg</td>\n",
       "      <td id=\"T_e58a4_row37_col1\" class=\"data row37 col1\" ><a target=\"_blank\" href=\"https://www.nationaalarchief.nl/onderzoeken/archief/1.05.06/invnr/44/file/NL-HaNA_1.05.06_44_0317?eadId=1.05.06&unitID=44\">https://www.nationaalarchief.nl/onderzoeken/archief/1.05.06/invnr/44/file/NL-HaNA_1.05.06_44_0317?eadId=1.05.06&unitID=44</a></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_e58a4_level0_row38\" class=\"row_heading level0 row38\" >9201</th>\n",
       "      <td id=\"T_e58a4_row38_col0\" class=\"data row38 col0\" >NL-HaNA_1.05.06_44_0318.jpg</td>\n",
       "      <td id=\"T_e58a4_row38_col1\" class=\"data row38 col1\" ><a target=\"_blank\" href=\"https://www.nationaalarchief.nl/onderzoeken/archief/1.05.06/invnr/44/file/NL-HaNA_1.05.06_44_0318?eadId=1.05.06&unitID=44\">https://www.nationaalarchief.nl/onderzoeken/archief/1.05.06/invnr/44/file/NL-HaNA_1.05.06_44_0318?eadId=1.05.06&unitID=44</a></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_e58a4_level0_row39\" class=\"row_heading level0 row39\" >9202</th>\n",
       "      <td id=\"T_e58a4_row39_col0\" class=\"data row39 col0\" >NL-HaNA_1.05.06_44_0319.jpg</td>\n",
       "      <td id=\"T_e58a4_row39_col1\" class=\"data row39 col1\" ><a target=\"_blank\" href=\"https://www.nationaalarchief.nl/onderzoeken/archief/1.05.06/invnr/44/file/NL-HaNA_1.05.06_44_0319?eadId=1.05.06&unitID=44\">https://www.nationaalarchief.nl/onderzoeken/archief/1.05.06/invnr/44/file/NL-HaNA_1.05.06_44_0319?eadId=1.05.06&unitID=44</a></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_e58a4_level0_row40\" class=\"row_heading level0 row40\" >9203</th>\n",
       "      <td id=\"T_e58a4_row40_col0\" class=\"data row40 col0\" >NL-HaNA_1.05.06_44_0320.jpg</td>\n",
       "      <td id=\"T_e58a4_row40_col1\" class=\"data row40 col1\" ><a target=\"_blank\" href=\"https://www.nationaalarchief.nl/onderzoeken/archief/1.05.06/invnr/44/file/NL-HaNA_1.05.06_44_0320?eadId=1.05.06&unitID=44\">https://www.nationaalarchief.nl/onderzoeken/archief/1.05.06/invnr/44/file/NL-HaNA_1.05.06_44_0320?eadId=1.05.06&unitID=44</a></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_e58a4_level0_row41\" class=\"row_heading level0 row41\" >9204</th>\n",
       "      <td id=\"T_e58a4_row41_col0\" class=\"data row41 col0\" >NL-HaNA_1.05.06_44_0321.jpg</td>\n",
       "      <td id=\"T_e58a4_row41_col1\" class=\"data row41 col1\" ><a target=\"_blank\" href=\"https://www.nationaalarchief.nl/onderzoeken/archief/1.05.06/invnr/44/file/NL-HaNA_1.05.06_44_0321?eadId=1.05.06&unitID=44\">https://www.nationaalarchief.nl/onderzoeken/archief/1.05.06/invnr/44/file/NL-HaNA_1.05.06_44_0321?eadId=1.05.06&unitID=44</a></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_e58a4_level0_row42\" class=\"row_heading level0 row42\" >9205</th>\n",
       "      <td id=\"T_e58a4_row42_col0\" class=\"data row42 col0\" >NL-HaNA_1.05.06_44_0322.jpg</td>\n",
       "      <td id=\"T_e58a4_row42_col1\" class=\"data row42 col1\" ><a target=\"_blank\" href=\"https://www.nationaalarchief.nl/onderzoeken/archief/1.05.06/invnr/44/file/NL-HaNA_1.05.06_44_0322?eadId=1.05.06&unitID=44\">https://www.nationaalarchief.nl/onderzoeken/archief/1.05.06/invnr/44/file/NL-HaNA_1.05.06_44_0322?eadId=1.05.06&unitID=44</a></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_e58a4_level0_row43\" class=\"row_heading level0 row43\" >9206</th>\n",
       "      <td id=\"T_e58a4_row43_col0\" class=\"data row43 col0\" >NL-HaNA_1.05.06_44_0323.jpg</td>\n",
       "      <td id=\"T_e58a4_row43_col1\" class=\"data row43 col1\" ><a target=\"_blank\" href=\"https://www.nationaalarchief.nl/onderzoeken/archief/1.05.06/invnr/44/file/NL-HaNA_1.05.06_44_0323?eadId=1.05.06&unitID=44\">https://www.nationaalarchief.nl/onderzoeken/archief/1.05.06/invnr/44/file/NL-HaNA_1.05.06_44_0323?eadId=1.05.06&unitID=44</a></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_e58a4_level0_row44\" class=\"row_heading level0 row44\" >9207</th>\n",
       "      <td id=\"T_e58a4_row44_col0\" class=\"data row44 col0\" >NL-HaNA_1.05.06_44_0324.jpg</td>\n",
       "      <td id=\"T_e58a4_row44_col1\" class=\"data row44 col1\" ><a target=\"_blank\" href=\"https://www.nationaalarchief.nl/onderzoeken/archief/1.05.06/invnr/44/file/NL-HaNA_1.05.06_44_0324?eadId=1.05.06&unitID=44\">https://www.nationaalarchief.nl/onderzoeken/archief/1.05.06/invnr/44/file/NL-HaNA_1.05.06_44_0324?eadId=1.05.06&unitID=44</a></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_e58a4_level0_row45\" class=\"row_heading level0 row45\" >9208</th>\n",
       "      <td id=\"T_e58a4_row45_col0\" class=\"data row45 col0\" >NL-HaNA_1.05.06_44_0325.jpg</td>\n",
       "      <td id=\"T_e58a4_row45_col1\" class=\"data row45 col1\" ><a target=\"_blank\" href=\"https://www.nationaalarchief.nl/onderzoeken/archief/1.05.06/invnr/44/file/NL-HaNA_1.05.06_44_0325?eadId=1.05.06&unitID=44\">https://www.nationaalarchief.nl/onderzoeken/archief/1.05.06/invnr/44/file/NL-HaNA_1.05.06_44_0325?eadId=1.05.06&unitID=44</a></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_e58a4_level0_row46\" class=\"row_heading level0 row46\" >9209</th>\n",
       "      <td id=\"T_e58a4_row46_col0\" class=\"data row46 col0\" >NL-HaNA_1.05.06_44_0326.jpg</td>\n",
       "      <td id=\"T_e58a4_row46_col1\" class=\"data row46 col1\" ><a target=\"_blank\" href=\"https://www.nationaalarchief.nl/onderzoeken/archief/1.05.06/invnr/44/file/NL-HaNA_1.05.06_44_0326?eadId=1.05.06&unitID=44\">https://www.nationaalarchief.nl/onderzoeken/archief/1.05.06/invnr/44/file/NL-HaNA_1.05.06_44_0326?eadId=1.05.06&unitID=44</a></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_e58a4_level0_row47\" class=\"row_heading level0 row47\" >9210</th>\n",
       "      <td id=\"T_e58a4_row47_col0\" class=\"data row47 col0\" >NL-HaNA_1.05.06_44_0327.jpg</td>\n",
       "      <td id=\"T_e58a4_row47_col1\" class=\"data row47 col1\" ><a target=\"_blank\" href=\"https://www.nationaalarchief.nl/onderzoeken/archief/1.05.06/invnr/44/file/NL-HaNA_1.05.06_44_0327?eadId=1.05.06&unitID=44\">https://www.nationaalarchief.nl/onderzoeken/archief/1.05.06/invnr/44/file/NL-HaNA_1.05.06_44_0327?eadId=1.05.06&unitID=44</a></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_e58a4_level0_row48\" class=\"row_heading level0 row48\" >9211</th>\n",
       "      <td id=\"T_e58a4_row48_col0\" class=\"data row48 col0\" >NL-HaNA_1.05.06_44_0328.jpg</td>\n",
       "      <td id=\"T_e58a4_row48_col1\" class=\"data row48 col1\" ><a target=\"_blank\" href=\"https://www.nationaalarchief.nl/onderzoeken/archief/1.05.06/invnr/44/file/NL-HaNA_1.05.06_44_0328?eadId=1.05.06&unitID=44\">https://www.nationaalarchief.nl/onderzoeken/archief/1.05.06/invnr/44/file/NL-HaNA_1.05.06_44_0328?eadId=1.05.06&unitID=44</a></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_e58a4_level0_row49\" class=\"row_heading level0 row49\" >9212</th>\n",
       "      <td id=\"T_e58a4_row49_col0\" class=\"data row49 col0\" >NL-HaNA_1.05.06_44_0329.jpg</td>\n",
       "      <td id=\"T_e58a4_row49_col1\" class=\"data row49 col1\" ><a target=\"_blank\" href=\"https://www.nationaalarchief.nl/onderzoeken/archief/1.05.06/invnr/44/file/NL-HaNA_1.05.06_44_0329?eadId=1.05.06&unitID=44\">https://www.nationaalarchief.nl/onderzoeken/archief/1.05.06/invnr/44/file/NL-HaNA_1.05.06_44_0329?eadId=1.05.06&unitID=44</a></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_e58a4_level0_row50\" class=\"row_heading level0 row50\" >9213</th>\n",
       "      <td id=\"T_e58a4_row50_col0\" class=\"data row50 col0\" >NL-HaNA_1.05.06_44_0330.jpg</td>\n",
       "      <td id=\"T_e58a4_row50_col1\" class=\"data row50 col1\" ><a target=\"_blank\" href=\"https://www.nationaalarchief.nl/onderzoeken/archief/1.05.06/invnr/44/file/NL-HaNA_1.05.06_44_0330?eadId=1.05.06&unitID=44\">https://www.nationaalarchief.nl/onderzoeken/archief/1.05.06/invnr/44/file/NL-HaNA_1.05.06_44_0330?eadId=1.05.06&unitID=44</a></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_e58a4_level0_row51\" class=\"row_heading level0 row51\" >9214</th>\n",
       "      <td id=\"T_e58a4_row51_col0\" class=\"data row51 col0\" >NL-HaNA_1.05.06_44_0331.jpg</td>\n",
       "      <td id=\"T_e58a4_row51_col1\" class=\"data row51 col1\" ><a target=\"_blank\" href=\"https://www.nationaalarchief.nl/onderzoeken/archief/1.05.06/invnr/44/file/NL-HaNA_1.05.06_44_0331?eadId=1.05.06&unitID=44\">https://www.nationaalarchief.nl/onderzoeken/archief/1.05.06/invnr/44/file/NL-HaNA_1.05.06_44_0331?eadId=1.05.06&unitID=44</a></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_e58a4_level0_row52\" class=\"row_heading level0 row52\" >9215</th>\n",
       "      <td id=\"T_e58a4_row52_col0\" class=\"data row52 col0\" >NL-HaNA_1.05.06_44_0332.jpg</td>\n",
       "      <td id=\"T_e58a4_row52_col1\" class=\"data row52 col1\" ><a target=\"_blank\" href=\"https://www.nationaalarchief.nl/onderzoeken/archief/1.05.06/invnr/44/file/NL-HaNA_1.05.06_44_0332?eadId=1.05.06&unitID=44\">https://www.nationaalarchief.nl/onderzoeken/archief/1.05.06/invnr/44/file/NL-HaNA_1.05.06_44_0332?eadId=1.05.06&unitID=44</a></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_e58a4_level0_row53\" class=\"row_heading level0 row53\" >9216</th>\n",
       "      <td id=\"T_e58a4_row53_col0\" class=\"data row53 col0\" >NL-HaNA_1.05.06_44_0333.jpg</td>\n",
       "      <td id=\"T_e58a4_row53_col1\" class=\"data row53 col1\" ><a target=\"_blank\" href=\"https://www.nationaalarchief.nl/onderzoeken/archief/1.05.06/invnr/44/file/NL-HaNA_1.05.06_44_0333?eadId=1.05.06&unitID=44\">https://www.nationaalarchief.nl/onderzoeken/archief/1.05.06/invnr/44/file/NL-HaNA_1.05.06_44_0333?eadId=1.05.06&unitID=44</a></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_e58a4_level0_row54\" class=\"row_heading level0 row54\" >9217</th>\n",
       "      <td id=\"T_e58a4_row54_col0\" class=\"data row54 col0\" >NL-HaNA_1.05.06_44_0334.jpg</td>\n",
       "      <td id=\"T_e58a4_row54_col1\" class=\"data row54 col1\" ><a target=\"_blank\" href=\"https://www.nationaalarchief.nl/onderzoeken/archief/1.05.06/invnr/44/file/NL-HaNA_1.05.06_44_0334?eadId=1.05.06&unitID=44\">https://www.nationaalarchief.nl/onderzoeken/archief/1.05.06/invnr/44/file/NL-HaNA_1.05.06_44_0334?eadId=1.05.06&unitID=44</a></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_e58a4_level0_row55\" class=\"row_heading level0 row55\" >9218</th>\n",
       "      <td id=\"T_e58a4_row55_col0\" class=\"data row55 col0\" >NL-HaNA_1.05.06_44_0335.jpg</td>\n",
       "      <td id=\"T_e58a4_row55_col1\" class=\"data row55 col1\" ><a target=\"_blank\" href=\"https://www.nationaalarchief.nl/onderzoeken/archief/1.05.06/invnr/44/file/NL-HaNA_1.05.06_44_0335?eadId=1.05.06&unitID=44\">https://www.nationaalarchief.nl/onderzoeken/archief/1.05.06/invnr/44/file/NL-HaNA_1.05.06_44_0335?eadId=1.05.06&unitID=44</a></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_e58a4_level0_row56\" class=\"row_heading level0 row56\" >9219</th>\n",
       "      <td id=\"T_e58a4_row56_col0\" class=\"data row56 col0\" >NL-HaNA_1.05.06_44_0336.jpg</td>\n",
       "      <td id=\"T_e58a4_row56_col1\" class=\"data row56 col1\" ><a target=\"_blank\" href=\"https://www.nationaalarchief.nl/onderzoeken/archief/1.05.06/invnr/44/file/NL-HaNA_1.05.06_44_0336?eadId=1.05.06&unitID=44\">https://www.nationaalarchief.nl/onderzoeken/archief/1.05.06/invnr/44/file/NL-HaNA_1.05.06_44_0336?eadId=1.05.06&unitID=44</a></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_e58a4_level0_row57\" class=\"row_heading level0 row57\" >9220</th>\n",
       "      <td id=\"T_e58a4_row57_col0\" class=\"data row57 col0\" >NL-HaNA_1.05.06_44_0337.jpg</td>\n",
       "      <td id=\"T_e58a4_row57_col1\" class=\"data row57 col1\" ><a target=\"_blank\" href=\"https://www.nationaalarchief.nl/onderzoeken/archief/1.05.06/invnr/44/file/NL-HaNA_1.05.06_44_0337?eadId=1.05.06&unitID=44\">https://www.nationaalarchief.nl/onderzoeken/archief/1.05.06/invnr/44/file/NL-HaNA_1.05.06_44_0337?eadId=1.05.06&unitID=44</a></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_e58a4_level0_row58\" class=\"row_heading level0 row58\" >9221</th>\n",
       "      <td id=\"T_e58a4_row58_col0\" class=\"data row58 col0\" >NL-HaNA_1.05.06_44_0338.jpg</td>\n",
       "      <td id=\"T_e58a4_row58_col1\" class=\"data row58 col1\" ><a target=\"_blank\" href=\"https://www.nationaalarchief.nl/onderzoeken/archief/1.05.06/invnr/44/file/NL-HaNA_1.05.06_44_0338?eadId=1.05.06&unitID=44\">https://www.nationaalarchief.nl/onderzoeken/archief/1.05.06/invnr/44/file/NL-HaNA_1.05.06_44_0338?eadId=1.05.06&unitID=44</a></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_e58a4_level0_row59\" class=\"row_heading level0 row59\" >9222</th>\n",
       "      <td id=\"T_e58a4_row59_col0\" class=\"data row59 col0\" >NL-HaNA_1.05.06_44_0339.jpg</td>\n",
       "      <td id=\"T_e58a4_row59_col1\" class=\"data row59 col1\" ><a target=\"_blank\" href=\"https://www.nationaalarchief.nl/onderzoeken/archief/1.05.06/invnr/44/file/NL-HaNA_1.05.06_44_0339?eadId=1.05.06&unitID=44\">https://www.nationaalarchief.nl/onderzoeken/archief/1.05.06/invnr/44/file/NL-HaNA_1.05.06_44_0339?eadId=1.05.06&unitID=44</a></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_e58a4_level0_row60\" class=\"row_heading level0 row60\" >9223</th>\n",
       "      <td id=\"T_e58a4_row60_col0\" class=\"data row60 col0\" >NL-HaNA_1.05.06_44_0340.jpg</td>\n",
       "      <td id=\"T_e58a4_row60_col1\" class=\"data row60 col1\" ><a target=\"_blank\" href=\"https://www.nationaalarchief.nl/onderzoeken/archief/1.05.06/invnr/44/file/NL-HaNA_1.05.06_44_0340?eadId=1.05.06&unitID=44\">https://www.nationaalarchief.nl/onderzoeken/archief/1.05.06/invnr/44/file/NL-HaNA_1.05.06_44_0340?eadId=1.05.06&unitID=44</a></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_e58a4_level0_row61\" class=\"row_heading level0 row61\" >9224</th>\n",
       "      <td id=\"T_e58a4_row61_col0\" class=\"data row61 col0\" >NL-HaNA_1.05.06_44_0341.jpg</td>\n",
       "      <td id=\"T_e58a4_row61_col1\" class=\"data row61 col1\" ><a target=\"_blank\" href=\"https://www.nationaalarchief.nl/onderzoeken/archief/1.05.06/invnr/44/file/NL-HaNA_1.05.06_44_0341?eadId=1.05.06&unitID=44\">https://www.nationaalarchief.nl/onderzoeken/archief/1.05.06/invnr/44/file/NL-HaNA_1.05.06_44_0341?eadId=1.05.06&unitID=44</a></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_e58a4_level0_row62\" class=\"row_heading level0 row62\" >9225</th>\n",
       "      <td id=\"T_e58a4_row62_col0\" class=\"data row62 col0\" >NL-HaNA_1.05.06_44_0342.jpg</td>\n",
       "      <td id=\"T_e58a4_row62_col1\" class=\"data row62 col1\" ><a target=\"_blank\" href=\"https://www.nationaalarchief.nl/onderzoeken/archief/1.05.06/invnr/44/file/NL-HaNA_1.05.06_44_0342?eadId=1.05.06&unitID=44\">https://www.nationaalarchief.nl/onderzoeken/archief/1.05.06/invnr/44/file/NL-HaNA_1.05.06_44_0342?eadId=1.05.06&unitID=44</a></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_e58a4_level0_row63\" class=\"row_heading level0 row63\" >9226</th>\n",
       "      <td id=\"T_e58a4_row63_col0\" class=\"data row63 col0\" >NL-HaNA_1.05.06_44_0343.jpg</td>\n",
       "      <td id=\"T_e58a4_row63_col1\" class=\"data row63 col1\" ><a target=\"_blank\" href=\"https://www.nationaalarchief.nl/onderzoeken/archief/1.05.06/invnr/44/file/NL-HaNA_1.05.06_44_0343?eadId=1.05.06&unitID=44\">https://www.nationaalarchief.nl/onderzoeken/archief/1.05.06/invnr/44/file/NL-HaNA_1.05.06_44_0343?eadId=1.05.06&unitID=44</a></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_e58a4_level0_row64\" class=\"row_heading level0 row64\" >9227</th>\n",
       "      <td id=\"T_e58a4_row64_col0\" class=\"data row64 col0\" >NL-HaNA_1.05.06_44_0344.jpg</td>\n",
       "      <td id=\"T_e58a4_row64_col1\" class=\"data row64 col1\" ><a target=\"_blank\" href=\"https://www.nationaalarchief.nl/onderzoeken/archief/1.05.06/invnr/44/file/NL-HaNA_1.05.06_44_0344?eadId=1.05.06&unitID=44\">https://www.nationaalarchief.nl/onderzoeken/archief/1.05.06/invnr/44/file/NL-HaNA_1.05.06_44_0344?eadId=1.05.06&unitID=44</a></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_e58a4_level0_row65\" class=\"row_heading level0 row65\" >9228</th>\n",
       "      <td id=\"T_e58a4_row65_col0\" class=\"data row65 col0\" >NL-HaNA_1.05.06_44_0345.jpg</td>\n",
       "      <td id=\"T_e58a4_row65_col1\" class=\"data row65 col1\" ><a target=\"_blank\" href=\"https://www.nationaalarchief.nl/onderzoeken/archief/1.05.06/invnr/44/file/NL-HaNA_1.05.06_44_0345?eadId=1.05.06&unitID=44\">https://www.nationaalarchief.nl/onderzoeken/archief/1.05.06/invnr/44/file/NL-HaNA_1.05.06_44_0345?eadId=1.05.06&unitID=44</a></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_e58a4_level0_row66\" class=\"row_heading level0 row66\" >9229</th>\n",
       "      <td id=\"T_e58a4_row66_col0\" class=\"data row66 col0\" >NL-HaNA_1.05.06_44_0346.jpg</td>\n",
       "      <td id=\"T_e58a4_row66_col1\" class=\"data row66 col1\" ><a target=\"_blank\" href=\"https://www.nationaalarchief.nl/onderzoeken/archief/1.05.06/invnr/44/file/NL-HaNA_1.05.06_44_0346?eadId=1.05.06&unitID=44\">https://www.nationaalarchief.nl/onderzoeken/archief/1.05.06/invnr/44/file/NL-HaNA_1.05.06_44_0346?eadId=1.05.06&unitID=44</a></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_e58a4_level0_row67\" class=\"row_heading level0 row67\" >9230</th>\n",
       "      <td id=\"T_e58a4_row67_col0\" class=\"data row67 col0\" >NL-HaNA_1.05.06_44_0347.jpg</td>\n",
       "      <td id=\"T_e58a4_row67_col1\" class=\"data row67 col1\" ><a target=\"_blank\" href=\"https://www.nationaalarchief.nl/onderzoeken/archief/1.05.06/invnr/44/file/NL-HaNA_1.05.06_44_0347?eadId=1.05.06&unitID=44\">https://www.nationaalarchief.nl/onderzoeken/archief/1.05.06/invnr/44/file/NL-HaNA_1.05.06_44_0347?eadId=1.05.06&unitID=44</a></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_e58a4_level0_row68\" class=\"row_heading level0 row68\" >9231</th>\n",
       "      <td id=\"T_e58a4_row68_col0\" class=\"data row68 col0\" >NL-HaNA_1.05.06_44_0348.jpg</td>\n",
       "      <td id=\"T_e58a4_row68_col1\" class=\"data row68 col1\" ><a target=\"_blank\" href=\"https://www.nationaalarchief.nl/onderzoeken/archief/1.05.06/invnr/44/file/NL-HaNA_1.05.06_44_0348?eadId=1.05.06&unitID=44\">https://www.nationaalarchief.nl/onderzoeken/archief/1.05.06/invnr/44/file/NL-HaNA_1.05.06_44_0348?eadId=1.05.06&unitID=44</a></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_e58a4_level0_row69\" class=\"row_heading level0 row69\" >9232</th>\n",
       "      <td id=\"T_e58a4_row69_col0\" class=\"data row69 col0\" >NL-HaNA_1.05.06_44_0349.jpg</td>\n",
       "      <td id=\"T_e58a4_row69_col1\" class=\"data row69 col1\" ><a target=\"_blank\" href=\"https://www.nationaalarchief.nl/onderzoeken/archief/1.05.06/invnr/44/file/NL-HaNA_1.05.06_44_0349?eadId=1.05.06&unitID=44\">https://www.nationaalarchief.nl/onderzoeken/archief/1.05.06/invnr/44/file/NL-HaNA_1.05.06_44_0349?eadId=1.05.06&unitID=44</a></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_e58a4_level0_row70\" class=\"row_heading level0 row70\" >9233</th>\n",
       "      <td id=\"T_e58a4_row70_col0\" class=\"data row70 col0\" >NL-HaNA_1.05.06_44_0350.jpg</td>\n",
       "      <td id=\"T_e58a4_row70_col1\" class=\"data row70 col1\" ><a target=\"_blank\" href=\"https://www.nationaalarchief.nl/onderzoeken/archief/1.05.06/invnr/44/file/NL-HaNA_1.05.06_44_0350?eadId=1.05.06&unitID=44\">https://www.nationaalarchief.nl/onderzoeken/archief/1.05.06/invnr/44/file/NL-HaNA_1.05.06_44_0350?eadId=1.05.06&unitID=44</a></td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n"
      ],
      "text/plain": [
       "<pandas.io.formats.style.Styler at 0x1688e5660>"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "inv_44[(inv_44.scan_num >= 280) & (inv_44.scan_num <= 350)][['doc_id', 'iiif_url']].style.format({'iiif_url': make_clickable})\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "8e4f0406",
   "metadata": {},
   "source": [
    "It turns out that there's a book that starts at scan number 274 with a section of homogeneous pages that continues until scan number 356 (which is empty), after which another set of homogeneous pages starts, which have wider text lines."
   ]
  }
 ],
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