Cardio-Good-Fitness-Case-Study-EDA-

Project Aim

• This study is based on Health Campaigns. As we were out to understand the cardio good fitness to aid us create better and more impactful campaigns.

Data Processing and Cleaning

• Our secondary data was processsing in Python usign Jupyter Notebooks.
• We carried out data manipulations to adjust for entry problems, cleanings for duplicate,creation of new variables and much more

Exploratory Analysis

• This exploratory analysis, to help us understand our data and if there's a need for standardization. Also, this help us identify relevant variables for our model building.
• This was done using correlation plots, box plots, pie charts, histograms, and barplots.

~ We acknowledge other methods which could lead to better visuals, but we ommited them given the simplicity of our overall exercise ~