A thorough Data Analyst skilled in Python, MySQL, Power BI, and Microsoft Excel @jwagg1911
In this 2-page project we loaded a data set with the top anime shows of all time. The 2nd page is a data set for housing prices that were built no earlier than 2016. We cleansed and transformed the data sets utilizing Power Query. We demonstrate proper usage of visualization charts for both pages that clearly explain the stories. We also demonstrate page level filters and slicers using matrix visualizations.
The dataset provided is from the 2022-2023 NBA regular season. We will break down the data to show the NBA's leaders in the major statistical categories. The major statistical categories include points, rebounds, assists steals, and blocks. We will determine which player averages the most points, rebounds, assists, blocks, and steals per game.
In this project we demonstrate methods to peek at rows and get an overall understanding of the data. We identify fields that need to be removed and then perform univariate and bivariate analysis.