tags:
- Data-Science/Visualization
- Data-Science
aliases:
- Data VisualizationConcerns in Data Visualization
Visualization is a way of represent data and information graphically. It is used to display complex data using charts and graphs so that Data Analysis results can be better understood.
- Recipient of visualization
- Data size
- Data type
- Relations in data
Charts, Graphs and Diagrams
- Frequency Table
- Scatter Plot
- Line Plot
- Bar Chart
- Histogram
- Pie Chart
- Exploded Pie Chart
- Distribution Plot
- Box plot
- Stacked Bar Chart
- Grouped Bar Chart
- Stacked Area Chart
- Pareto Diagram
- Donut chart
- Heatmap
- Radar Chart
- Tree-map
- Parallel Coordinate Plot
- Hexagonal Binning
- Contour Plot
- QQ-plot
- Violin plot
- Boxen-plot
- Swarm plot
- Point Plot
- Word Cloud
- Sunburst Chart
Types of Charts
- Histogram: a graphical representation organizing a group of data points in continuous variables.
- Box Plots: can be used detect Outliers in the data.
Choosing a Chart
- Comparison
- Among items
- two variable per item: Variable width column chart
- one variable per item
- many categories: Table with embedded charts
- few categories: Bar chart
- Over time
- Cyclical data: Circular area chart
- None-cyclical data: Line chart
- many categories: Vertical Bar chart
- few categories: Line chart
- Among items
- Composition
- Static
- Share of total or percentage: Pie chart
- Accumulation or subtraction to total: Waterfall chart
- Components of components: Stacked 100% bar chart
- Accumulation to total, or when absolute difference matters: Tree Map
- Dynamic(over time)
- Few periods:
- Relative difference matters: Stacked 100% bar chart
- Relative and absolute difference matters: Stacked bar chart
- Only relative differences matter: Stacked area 100% chart
- Both relative and differences matter: Stacked area chart
- many periods:
- Few periods:
- Static
- Distribution
- Single Variable
- Single data point: Bar Histogram
- many data points: Line Histogram
- Two variables: Scatter Plot
- Single Variable
- Relationship
- Two variables: Scatter Plot
- Three or more variables: Scatter Plot bubble size
Interactive Graph