The dataset used in this project for the most part did not have any serious errors present such as missing information in the rows, missed named columns, or duplicated rows, however their was an issue with the data types for the columns IMDb and Rotten Tomatoes. These columns were saved as object data types instead of float and int values, which would allow us to analyze these columns in graphs as numerical values. The way we fixed this issue was by first removing the part of the string that would not allow us to convert the string to a numerical value which was /10 for IMDb and /100 for Rotten Tomatoes. After that we then applied the function astype(float) to convert IMDb into a float data type and astype(int) to convert Rotten Tomatoes into a int data type.