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Practical Activity: Data Wrangling using Python

Apply what you've learned about wrangling data in an activity.

We are going to use the same set of data as well as the scenario that we have been using in the previous courses.


If you can’t find the dataset, fret not! Feel free to download the same CSV file of the dataset, again, and get started with the activities in hand.

Download: Brazilian-fire-dataset.csv [1]

Download the file and save it under the file path as shown below:



The activities in this module focus on data wrangling. In this case, you will create a DataFrame and conduct certain activities as prompted in the notebook.

Write the Python code according to instructions in the Jupyter Notebook for this module. Data wrangling activities would be an extension of what you learned and performed in the data ingestion tasks.

For the current activity, you will see that there are cells with the heading ‘TO DO – Activity’. Write the code in the code-cells after the activity mark-up cells.

Download: Data-Wrangling-using-Python-exercise.ipynb


Once you finish adding your codes and running them on the Notebook, be sure to compare your codes and outputs with the solution notebook provided to you here.

Download: Data-wrangling-using-Python-solution.ipynb

All the best for this exercise!

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Data Wrangling and Ingestion using Python

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