DATA VISUALIZATION

Introduction to Data Visualization (https://www.tableau.com/learn/articles/data-visualization)

What is Data Visualization?

Graphical representation of information and data to help people understand the significance of
data. By placing it in a visual context.

Example

By using visual elements like charts, graphs, and maps.

Importance

  1. An accessible way to see and understand trends, outliers, and patterns in data.
  1. To analyze massive amounts of information and make data-driven decisions.
  1. Earliest - Maps
  1. Early 19th Century - Pie Chart
  1. A few decades later - Statistical Graph by Charles Joseph Minard (map Napoleon Bonaparte’s Russian campaign of 1812)

4.14th century - Bar charts (Oresme & Playfair)

  1. Playfair - Area charts
  1. The latter half of the 20th century -‘rebirth of data visualization’, brought on by the emergence of computer processing. (Friendly)
  • keeps evolving over time, still using it till now with advaced technology.

Step 1: Analyze Your Audience and Data

Step 2: Choose the Right Chart

Step 3: Select a Software Program

Step 4: Declutter

Step 5: Clarify Your Message with Color

Step 6: Clarify Your Message with Text

Step 7: Test Your Draft

Step 7: Are You Doing It Right?! Test Your Draft

Open Data Platforms

Category

🌟 Google Public Data Explorer

🌟 Kaggle

🌟 Data.gov

🌟 UNICEF Dataset

🌟 World Bank Open Data

  1. Charts

Pie

Bar

  1. Plot

Scatterplot

Box plot

  1. Map

Mind map

Heatmap

  1. Column

Clustered column

  1. Table

Comparison table

  1. Graph

Histogram

Pictogram

SITI SARAH AQILAH BINTI CHE ANI

RCS2485C