This repository provides hands-on examples for teaching data analytics using the KickStarter dataset. It covers everything from reading in data to telling a story with that data. The repository focuses on manipulating the dataset using pandas, exploring different ways to clean and format column names, and performing basic data analysis tasks.
Through these exercises, students will learn key data manipulation techniques that are foundational to working with real-world datasets.
- We focus on reading in data
- Performing initial analyses to gain insights
- This includes understanding the data types
- Finding missing values
- Exploring other key aspects of the dataset
we learn:
- How to manuplate column names
- Cover removing spaces in our data
- Learn how to replace values
- Drop Columns
- we cover how to handle missing data
- We also cover how to filter data based on conditions
- Get some statitsitcs on a column
- Learn how to preform groupbys
- cover sorting values
| Command | Linux/Mac | GitBash |
|---|---|---|
| Create | python3 -m venv venv |
python -m venv venv |
| Activate | source venv/bin/activate |
source venv/Scripts/activate |
| Install | pip install -r requirements.txt |
pip install -r requirements.txt |
| Deactivate | deactivate |
deactivate |