- PROJECT OBJECTIVE: Company's management wants to invest on proposal on managing some of the best teams in the league. The analytics department has been assigned with a task of creating a report on the performance shown by the teams. Some of the older teams are already in contract with competitors. Hence Company X wants to understand which teams they can approach which will be a deal win for them. Steps and tasks: [Total Score: 15 points] 1. Read the data set, clean the data and prepare a final dataset to be used for analysis. 2. Perform detailed statistical analysis and EDA using univariate, bi-variate and multivariate EDA techniques to get a data driven insights on recommending which teams they can approach which will be a deal win for them. Also as a data and statistics expert you have to develop a detailed performance report using this data. Hint: Use statistical techniques and visualisation techniques to come up with useful metrics and reporting. Find out the best performing team, oldest team, team with highest goals, team with lowest performance etc. and many more. These are just random examples please use your best analytical approach to build this report. You can mix match columns to create new ones which can be used for better analysis. Create your own features if required. Be highly experimental and analytical here to find hidden patterns. Use graphical interactive libraries to enable you to publish interactive plots in python. 3. Please include any improvements or suggestions to the association management on quality, quantity, variety, velocity, veracity etc. on the data points collected by the association to perform a better data analysis in future