change package name, add dependencies

CHANGELOG.md

@@ -4,4 +4,4 @@
 
 ## v0.1.0 (09/01/2025)
 
-- First release of `dataprofiler`!
+- First release of `datpro`!

CONTRIBUTING.md

@@ -40,10 +40,10 @@ If you are proposing a feature:
 
 ## Get Started!
 
-Ready to contribute? Here's how to set up `dataprofiler` for local development.
+Ready to contribute? Here's how to set up `datpro` for local development.
 
-1. Download a copy of `dataprofiler` locally.
-2. Install `dataprofiler` using `poetry`:
+1. Download a copy of `datpro` locally.
+2. Install `datpro` using `poetry`:
 
     ```console
     $ poetry install
@@ -69,5 +69,5 @@ Before you submit a pull request, check that it meets these guidelines:
 
 ## Code of Conduct
 
-Please note that the `dataprofiler` project is released with a
+Please note that the `datpro` project is released with a
 Code of Conduct. By contributing to this project you agree to abide by its terms.

README.md

@@ -2,9 +2,9 @@
 
 Dongchun Chen, Ismail (Husain) Bhinderwala, Jingyuan Wang
 
-## dataprofiler
+## datpro
 
-The `dataprofiler` package simplifies data profiling by providing essential functions for comprehensive dataset exploration and quality checks. This package offers tools to generate detailed summaries, detect anomalies, and create intuitive visualizations, making it easier to uncover key patterns and insights in your data with minimal effort.
+The `datpro` package simplifies data profiling by providing essential functions for comprehensive dataset exploration and quality checks. This package offers tools to generate detailed summaries, detect anomalies, and create intuitive visualizations, making it easier to uncover key patterns and insights in your data with minimal effort.
 
 - `summarize_data()`: Summarizes numeric columns in a given DataFrame by calculating key statistical metrics.This function gives an overview of key statistics of numeric columns. It returns a summary DataFrame containing the minimum, 25th percentile (Q1), median (50th percentile), 75th percentile (Q3), and maximum values for each numeric column.
 
@@ -17,7 +17,7 @@ This package provides tools for exploring and cleaning data by summarizing stati
 ## Installation
 
 ```bash
-$ pip install dataprofiler
+$ pip install datpro
 ```
 
 ## Usage

docs/Makefile

@@ -3,7 +3,7 @@
 # You can set these variables from the command line.
 SPHINXOPTS    =
 SPHINXBUILD   = python -msphinx
-SPHINXPROJ    = dataprofiler
+SPHINXPROJ    = datpro
 SOURCEDIR     = .
 BUILDDIR      = _build
 

docs/conf.py

@@ -6,7 +6,7 @@
 
 # -- Project information -----------------------------------------------------
 
-project = u"dataprofiler"
+project = u"datpro"
 copyright = u"2025, DongchunChen"
 author = u"DongchunChen"
 

docs/example.ipynb

@@ -2,23 +2,23 @@
     "cells": [
         {
             "cell_type": "markdown",
+            "metadata": {},
             "source": [
                 "# Example usage\n",
                 "\n",
                 "To use `dataprofiler` in a project:"
-            ],
-            "metadata": {}
+            ]
         },
         {
             "cell_type": "code",
             "execution_count": null,
+            "metadata": {},
+            "outputs": [],
             "source": [
-                "import dataprofiler\n",
+                "import datpro\n",
                 "\n",
-                "print(dataprofiler.__version__)"
-            ],
-            "outputs": [],
-            "metadata": {}
+                "print(datpro.__version__)"
+            ]
         }
     ],
     "metadata": {
@@ -42,4 +42,4 @@
     },
     "nbformat": 4,
     "nbformat_minor": 4
-}
+}