This report is an exploratory analysis of the NBA Game dataset where two different data sets to ensure the data set is free of any errors and is clean for analysis. Steps taken are: Merging the data set to form one data set. Correcting the data types. Replacing the missing values. Replacing Outliers. Check if the data is normally distributed. Transform the data to normal distribution for analysis.

A visualisation to answer who and where is the Dementia affecting the most.

This is a Time Series Analysis of the Ozone Layer data set where suitable ARIMA models are obtained through Residual analysis, AIC, BIC and EACF plots and measures.

This project is a statistical analysis of the dbims data set which contains the different body measurements with age, weight, height, and gender from which the crucial data cleaning techniques will be applied followed by calculating the statistical measurements like mean to analyse the shoulder width for Men and Women.