This is a simple example showing how to use Pandas to create a dataframe and the processing data with python.

The jupyter notebook data-processing-with-python.ipynb shows the following steps:

• It shows how to read from a csv and json file.
• Cleaning data by filling zeros on the missing data or removing rows with invalid data.
• Using for loop to count the number of rows with invalid data.
• Simple data analysis such as Mean, Median and Standard Deviation of the data.
• And finally, indexing to print first few data, select specific columns and using loc function to select specific row using a certain value.