Exploratory Data Analysis Case Study : Rise in Accidents Cases in USA

Exploratory Data Analysis on "US Accidents" dataset to find out and visualize different trends including impact of COVID-19 on traffic behavior and accidents, environmental stimuli on accident occurrence and accident hotspot locations in order to get control over the same.

What is EDA (Exploratory Data Analysis)?

Exploratory Data Analysis (EDA) is the process of exploring, investigating and gathering insights from data using statistical measures and visualizations. The objective of EDA is to develop and understanding of data, by uncovering trends, relationships and patterns.

EDA is both a science and an art. On the one hand it requires the knowledge of statistics, visualization techniques and data analysis tools like Numpy, Pandas, Seaborn etc. On the other hand, it requires asking interesting questions to guide the investigation and interpreting numbers & figures to generate useful insights.

Download the Dataset from Kaggle !!

Kaggle, a subsidiary of Google LLC, is an online community of data scientists and machine learning practitioners. Kaggle allows users to find and publish data sets, explore and build models in a web-based data-science environment, work with other data scientists and machine learning engineers, and enter competitions to solve data science challenges.

Pandas is a software library written for the Python programming language for data manipulation and analysis. In particular, it offers data structures and operations for manipulating numerical tables and time series.

NumPy is the fundamental package for scientific computing in Python. It is a Python library that provides a multidimensional array object, various derived objects (such as masked arrays and matrices), and an assortment of routines for fast operations on arrays, including mathematical, logical, shape manipulation, sorting, selecting, I/O, discrete Fourier transforms, basic linear algebra, basic statistical operations, random simulation etc.

opendatasets is a Python library for downloading datasets from online sources like Kaggle and Google Drive using a simple Python command.