1 Data Manipulation and Cleaning

1.1 Summary

Within this workshop, we introduce concepts associated with data wrangling as it relates to rectangular data.

1.2 Learning Objectives

After completing this workshop, you are expected to be able to:

• Construct Series and DataFrame using Pandas.
• Access data attributes
• Perform logical filtering operations.
• Read and write to either flat or binary files.
• Handle missing data.

1.3 Content

Title	Link
0.1: Google Colab Slides	https://inmas-training.github.io/lecture-slides/00a-google-colab.pdf
1.0: Workshop Welcome Slides	https://inmas-training.github.io/lecture-slides/01a-intro.pdf
1.1: Pandas Intro Slides	https://inmas-training.github.io/lecture-slides/01b-pandas.pdf
1.2: Data Manipulation Notebook
1.3: Pandas Real Data Slides	https://inmas-training.github.io/lecture-slides/01c-real-data.pdf
1.4: Real Data Notebook

1.4 Resources

Title	Link
Pandas Cheatsheet	https://pandas.pydata.org/Pandas_Cheat_Sheet.pdf
Pandas API Reference	https://pandas.pydata.org/docs/reference/index.html#api

1.5 Advanced

Finished with all of the exercises? Please try to solve this extended problem.

Title	Link
1.5: Counting Classifications