Data for Social Good Series (Open Source)

Project 1: Accidental Drug Related Deaths in Connecticut

Please click on the link below to see the interactive charts that will not be visible in the .ipynb file here.

Notebook Link: https://jenilkansara.github.io/Accidental_Drug_Related_Deaths.html

Introduction

As per the data of 2019, the number of Intoxication Deaths has significantly increased in the first half of 2019 and is projected to exceed the total number of deaths in 2018. It is clear that the situation is exacerbating and immediate informed actions are required.

Our projects asks the following questions and explores the data with Python using Pandas, Seaborn, NumPy, and Plotly libraries.

These instructions will get you a copy of the project up and running on your local machine for development and testing purposes. See deployment for notes on how to deploy the project on a live system.

To quickly see the code here on Github

Open a folder, for ex. Accidental Drug Related Deaths in Connecticut, and open the .ipynb notebook file.

To install on your computer

Prerequisites

What things you need to install the software and how to install them

1. Anaconda Python 3 Distribution - Jupyter Notebook

Download and Install from Here - https://www.anaconda.com/distribution/

Deployment

Open Jupyter Notebook (Anaconda 3) by searching for it in the search option in the start menu in Windows. Open the project directory and browse the .ipynb file on your system. Make sure that the .csv data file is in the same folder.

You can make additions or changes as per your need.

Authors

1. Jenil Kansara
2. Umang Sharma
3. Prachit Puranik
4. Shohini Ghosh
5. Lauren Dahlin (Instructor and Mentor)

Acknowledgments

Hat tip to all the nice people on Stack Overflow whose answers helped us solve issues and complete this project.