Demo app for Dash to connect to PostgreSQL

examples/dash/dash-connect-pgsql/README.md

@@ -16,7 +16,7 @@ PGPASSWORD='your_password'
 Run `python -m pip install -r requirements.txt` to install all necessary packages.
 
 ## Upload dataset to your Postgres server
-We will upload the data in `student-mat-min.csv` and `student-por-min.csv` in the `data` folder. Run `python upload.py` locally to upload the dataset to your PostgreSQL.
+You can download the dataset I'm using [here](https://archive.ics.uci.edu/dataset/320/student+performance) and store them in the `data` folder. Next, `cd data` and run `python csv_mod.py` to obtain `student-mat-min.csv` and `student-por-min.csv`, the extracted dataset that we will be uploading. Run `python upload.py` locally to upload the dataset to your PostgreSQL.
 
 ## Local testing
 Add the below lines to your `app.py`

examples/dash/dash-connect-pgsql/data/csv_mod.py

@@ -0,0 +1,17 @@
+import pandas as pd
+
+csv_mods = {
+    "student-mat.csv": "student-mat-min.csv",
+    "student-por.csv": "student-por-min.csv"
+}
+
+for csv_cur, csv_conv in csv_mods.items():
+    df = pd.read_csv(csv_cur, sep=";")
+    #print(df.columns)
+    df = df[["school", "sex", "romantic_status", "age", 
+        "mother_occupation", "father_occupation", 
+            "health", "study_time", "absences", "final_grade"]]
+    print(df.head())
+    df.to_csv(csv_conv)
+
+