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
- An accessible way to see and understand trends, outliers, and patterns in data.
- To analyze massive amounts of information and make data-driven decisions.
- Earliest - Maps
- Early 19th Century - Pie Chart
- 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)
- Playfair - Area charts
- 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
- Charts
Pie
Bar
- Plot
Scatterplot
Box plot
- Map
Mind map
Heatmap
- Column
Clustered column
- Table
Comparison table
- Graph
Histogram
Pictogram
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