Data Visualization
2024-12-24
A picture is worth a thousand words.
Theory
Data visualization is the graphical representation of information and data.
Advantages of Data Visualization
- Present data to non-technical audiences without confusion
- Helps people see, interact with, and better understand data.
- Visualize patterns and relationships
Visualization Aesthetic is a very important concept that helps Data Visualization for being so accessible.
Disadvantages of Data Visualization
- Biased or inaccurate information.
- Misleading visualization can be generated.
- Correlation doesn’t always mean causation.
- Core messages can get lost in translation.
Chart Suggestions a Thought Starter
Examples
Amazing display of the importance of Data Visualization.
Implementation
Visualization is done in many ways and in many conditions. The common visualizations are:
- Tabular Data
- Bar Graph
- Pie Chart
- Frequency Distribution
- Dot plot
- Stem and Leaf Display
- Histograms
- Frequency Polygon
- Box and Whiskers Plot
- Violin Plot
- Curve of Cumulative Frequency
- Scatter Plot
- Line Plot
- Probability Distribution
- Data Maps