Data processing with Pandas.

Overview

Processing-data-with-python

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.
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