Nancy9ice/Women-FIFA-World-Cup

This is a project by the Data Titans team that won the Women in Data Africa Datathon 2023. It portrays our skills in statistical modeling and data storytelling # Women-FIFA-World-Cup *This is a project by the Data Titans team that won the Women in Data Africa Datathon 2023. It portrays our skills in statistical analysis and data storytelling* **Team Name: Data Titans** **Team Members: Nancy Amandi and Kaosarah lawal** *Image by Ben Weber on Unsplash* ## Introduction According to the Women In Data Africa (WIDA) datathon challenge, we were expected to gain valuable insights into the evolution of women's soccer over the years, the performance of the top teams and players, and/or the strategies used by coaches to succeed in this highly competitive sport. However in our analysis, we decided to focus on the strategies that most teams use to win. ## Problem Statement What strategy is most likely to turn a football team to the champion in the women FIFA world cup? ## Skills/concepts demonstrated The following tools and skills were used in this project: * **Python** used to wrangle the data. * **PowerBI** used to design the visualizations and dashboard. * **Statistical Modelling** used to reject or accept the generated hypothesis. ## Data Sourcing It was a one table dataset gotten from the kaggle website. ## Data Transformation/Cleaning The data was efficiently cleaned and transformed using Python. Some of the steps are listed below: * Conversion of the data types of some variables * Replacement of null values with the median values of that associated variable by team * Attempt to remove duplicates * Detection of outliers by the Interquartile range method * Capping of outliers using the Winsorization method * Derivation of the "champions", "hosts", and "distance_in_miles" variables. ## Methodology * Domain knowledge acquisition * Generation of problem statement * Data transformation/cleaning * Univariate analysis * Bivariate and Correlation analysis * Hypothesis (Null hypothesis) generation * Goals has no effect on teams winning the women FIFA world cup * Assists has no relationship with goals scored …