This repository contains Data Narratives created as part of a course Probability, Statistics and Data Visualization. The analysis focused on 3 different datasets, employing Python extract insights related to patterns found in each of them. The project showcased skills in data analysis, visualization, statistics, and domain knowledge, utilizing the pandas, numpy and matplotlib libraries.
The Folders to each dataset contains the python scripts used to visualise and process the data along with the analysis reports containing the visualised graphs and inferences drawn.
- Books Reviews Dataset: The given data is similar to an online catalogue for different kinds of books. It contains various books and ratings from readers with diverse interests and backgrounds. This dataset is a helpful guide for new readers who need suggestions on which books to read and for exploring the vast culture of reading.
- Tennis Tournaments Dataset: The given dataset contains the match statistics for both women and men at the four major tennis tournaments of the year 2013. It includes various parameters such as the players' names, the round of the tournament, the number of games won, the number of aces, double faults, and unforced errors committed, the first and second-serve win percentage, the number of net points attempted and won, and the first serve percentage. The dataset provides insights into the players' performance based on various factors, which can help one know the properties of Tennis tournaments.
- US Colleges Dataset: The given data is similar to an online catalogue for different kinds of colleges and schools. It contains details of numerous universities and specifications of the respective institutes. This dataset is helpful in guiding students to decide what institute they want to enrol in.
The Data Narrative formed part of the ES-114: Probability, Statistics, and Data Visualization course offered to first-year B.Tech students in April '23 at the Indian Institute of Technology, Gandhinagar.