In this lab you will practice how to tell stories using data visualization. However, you will not practice storytelling alone. Instead, you will be exposed to the complete workflow of:

1. Understanding the dataset
2. [optional] Adjusting skewed normal distribution
3. Exploring the fields that may be interesting based on your common sense
4. [optional] Exploring the field correlations using heatmap
5. Summarizing and presenting your stories with data visualization

Open main.ipynb and follow the instructions in the file to provide your solutions.

• main.ipynb with your responses.

Upon completion, add your version of main.ipynb to git. Then commit git and push your branch to the remote.

Housing Prices on Kaggle

Housing Prices Data Description

Find out the percentage of missing values in each column in the given dataset

Histograms and Inverting Skewed Data