Tableau Charts Cheat Sheet for Data Science Part 2
Understand the Data Visualization Tools Tableau for Becoming a Data Scientist
Feel free to follow me and give claps to me on Medium :)Data visualization is the graphical representation of information and data. In the world of Big Data, data visualization tools and technologies are essential to analyze massive amounts of information and help organizations make data-driven decisions. Recently, I completed the Tableau eLearning data scientist track and consolidated the Tableau charts cheat sheet for becoming a data scientist!
- Understanding 80/20 Rule — Pareto Chart
- Showing Trends of Forecasting— Trend Lines Chart and Forecasting Chart
- Analyzing Time-Based and Seasonality Data— Sparklines Chart, Slope Chart, Bump Chart, Control Chart, Cycle Chart, and Gantt Chart
- Understanding the Cumulative Effect — Waterfall Chart
- Putting Data into Action — Motion Chart
- Mapping Data Geographically — Symbol Map, Filled Map and Hexbin Map
Understanding 80/20 Rule
The 80–20 Rule, also known as the Pareto Principle states that roughly 80% of the outputs come from 20% of the causes (or inputs) for many events.
Pareto Chart
A Pareto chart is a type of chart that contains both bars and a line graph, where individual values are represented in descending order by bars, and the cumulative total is represented by the line.
An example of this can be seen when using the Pareto chart to display the customer contributions to profit using reference line to show 80% of the total profit and 20% of the customer.
