Data Visualization


As a data scientist you need to know how to communicate any insights contained in the data in a clear and compelling manner, one of the best way to do it? with graphs!. This page contains examples of the different types of charts I like to use for data visualization.
Toolkit: Python [Plotly, Pyplot, Seaborn], R [Ggplot2, Shiny], Chart.js, Google Charts Visualization API, Tableau & Power BI.

Relationship between Horse Power and Miles per Gallon. The data used is based on the 'Auto MPG Data Set' from the UCI Machine Learning Repository. The data concerns city-cycle fuel consumption in miles per gallon, to be predicted in terms of 3 multivalued discrete and 5 continuous attributes.

Bar - Column

UsageUsage.

Unlimited power customization
We created digital ideas that are bigger and bolder

Lorem ipsum dolor sit amet, consectetur adipiscing elit do eiusmod tempor incididunt ut labore et dolore magna Ut enim ad minim veniam, nostrud exercitation ullamco laboris nisi ut aliquip ex ea commodo consequat.

Geochart showing the number of light vehicles per 1,000 people for the year 2017, according to the U.S. Department of Transportation Federal Highway Administration..