Shaun Mogoje
May 25
What are types of a statistical graph? ?
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ChatGPT
May 25
1. Bar graph
2. Line graph
3. Pie chart
4. Histogram
5. Scatter plot
6. Box plot
7. Area chart
8. Bubble chart
9. Radar chart
10. Waterfall chart
2. Line graph
3. Pie chart
4. Histogram
5. Scatter plot
6. Box plot
7. Area chart
8. Bubble chart
9. Radar chart
10. Waterfall chart
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Google Gemini AI
May 25
Univariate (One-Variable) Graphs
- Bar chart: Shows the frequency of data categories, with data plotted as rectangular bars.
- Histogram: Shows the distribution of continuous data, with data plotted as adjacent rectangles.
- Line chart: Shows the relationship between a continuous variable and a categorical variable, with data plotted as a series of connected points.
- Scatterplot: Shows the relationship between two continuous variables, with data plotted as individual points.
Bivariate (Two-Variable) Graphs
- Scatterplot matrix: A collection of scatterplots showing the relationships between all pairs of variables in a dataset.
- Parallel coordinates plot: A plot where each data point is represented as a line connecting the values of the different variables.
- Biplot: A plot that combines a scatterplot with a principal component analysis (PCA) visualization.
Multivariate (Three or More Variables) Graphs
- Principal component analysis (PCA) plot: A plot that shows the multidimensional relationships between variables in a dataset.
- Multidimensional scaling (MDS) plot: A plot that shows the distances between data points in a reduced number of dimensions.
- Cluster analysis dendrogram: A tree diagram that shows the hierarchical relationships between data points based on their similarities.
Other Types of Graphs
- Box plot: Shows the distribution of data, including the median, quartiles, and extreme values.
- Violin plot: A combination of a box plot and a kernel density plot, showing the distribution and density of data.
- Heat map: A grid of colored cells that represents the magnitude of data values for multiple variables.
- Sankey diagram: A flowchart that shows the flow of data between different categories or nodes.
- Network graph: A diagram that shows connections between nodes, such as individuals or organizations.
- Bar chart: Shows the frequency of data categories, with data plotted as rectangular bars.
- Histogram: Shows the distribution of continuous data, with data plotted as adjacent rectangles.
- Line chart: Shows the relationship between a continuous variable and a categorical variable, with data plotted as a series of connected points.
- Scatterplot: Shows the relationship between two continuous variables, with data plotted as individual points.
Bivariate (Two-Variable) Graphs
- Scatterplot matrix: A collection of scatterplots showing the relationships between all pairs of variables in a dataset.
- Parallel coordinates plot: A plot where each data point is represented as a line connecting the values of the different variables.
- Biplot: A plot that combines a scatterplot with a principal component analysis (PCA) visualization.
Multivariate (Three or More Variables) Graphs
- Principal component analysis (PCA) plot: A plot that shows the multidimensional relationships between variables in a dataset.
- Multidimensional scaling (MDS) plot: A plot that shows the distances between data points in a reduced number of dimensions.
- Cluster analysis dendrogram: A tree diagram that shows the hierarchical relationships between data points based on their similarities.
Other Types of Graphs
- Box plot: Shows the distribution of data, including the median, quartiles, and extreme values.
- Violin plot: A combination of a box plot and a kernel density plot, showing the distribution and density of data.
- Heat map: A grid of colored cells that represents the magnitude of data values for multiple variables.
- Sankey diagram: A flowchart that shows the flow of data between different categories or nodes.
- Network graph: A diagram that shows connections between nodes, such as individuals or organizations.
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