This study is to find the various factors affecting the result of chess games. Chess primarily being a game of patterns, and as data science is all about detecting patterns in data, which is why chess has been one of the most invested in areas of AI in the past. On top of it, Chess being an indoor game, it was quick to get online. There is a number of websites that store a comprehensive amount of data on each game.

This project is a study to find the reasons affecting the sales at a multi-outlet retail brand. The dataset contains the item and outlet-related information of more than 8000 products.

Storms and other severe weather events have huge impact on public health and economic problems for municipalities and their inhabitants. Some of severe events can cause injuries property damage and even lead to death. In this report, we aim to analyze the impact of different weather events on public health and economy Based on the storm database collected from the U.S. National Oceanic and Atmospheric Administration's (NOAA) from 1950 - 2011. We will use the estimates of fatalities, injuries, property and crop damage to decide which types of event are most harmful to the population health and economy. From these data, we found that excessive heat and tornado are most harmful with respect to population health, while flood, drought, and hurricane/typhoon have the greatest economic consequences.