# Data Exploration of Housing Data

**URL:** <https://community.sparkflows.ai/t/data-exploration-of-housing-data/233>\
**Category:** Machine Learning\
**Created:** [December 29, 2025, 4:15pm UTC](https://community.sparkflows.ai/t/data-exploration-of-housing-data/233 "2025-12-29T16:15:53Z")\
**Posts on this page:** 1\
**Page:** 1

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**Author:** ![Tarika](https://avatars.discourse-cdn.com/v4/letter/t/8491ac/32.png) [@Tarika](https://community.sparkflows.ai/u/Tarika)\
**Post date:** [December 29, 2025, 4:15pm UTC](https://community.sparkflows.ai/t/data-exploration-of-housing-data/233/1 "2025-12-29T16:15:53Z")

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Here, we will cover how to do some of the most common data exploration tasks using Sparkflows.

The below workflow:

- Reads the Housing dataset
- Calculates summary statistics for important variables
- Creates a histogram to show the distribution of the Sale Price variable
- Creates a graph to show the relationship between Sale Price and Basement Square Footage
- Creates a matrix to show the correlation between important variables
- Flags outliers in Ground Living Area and graphs the results

The tutorial for this workflow is available here: [Data Exploration of Housing Data — Sparkflows 3.0 documentation](https://docs.sparkflows.io/en/latest/tutorials/data-exploration/housing-data-exploration.html)