Score averages for a class grade are incorrect.
Replace ninth-grade math and reading scores for a specific high school. Keep all other data associated with the ninth-grade students and high school intact. By the end of the module, you'll be able to:
- Open Jupyter Notebook files from local directories using a development environment.
- Read an external CSV file into a DataFrame.
- Format a DataFrame column
- Determine data types of row values in a DataFrame
- Retrieve data from specific columns of a DataFrame
- Merge, filter, splice, and sort a DataFrame
- Apply the groupby() function to a DataFrame
- Use multiple methods to perform a function on a DataFrame
- Perform mathematical calculations on columns of a DataFrame or Series
- Jupyter Notebook
- Pandas