Table of Contents
- Data_Visualizations
- Frequency Histogram Plot for Over 10k cloumns
- SurveyData Exploration using Heatmap and Distribution Plot
Data visualization is a general term that describes any effort to help people understand the significance of data by placing it in a visual context.
This repository recorded all my interesting data Visualizations and Explorations
Using Python package Seaborn
This data has been pre-cleaned by grouping the date and the EquimentID to calculate the frequency of Equiments
see code here
Using Python package Seaborn
This is the survey data include over 100 users sensory test on a Chicken fry
For each feature (question) in the survey, the tester will need to give a score from 0 - 10
Calculate Corelation rate between two festures and find interesting colrelations
Plot the Score Distributions
see full plot and code here