In ArcGIS AllSource, you can make several types of charts that visualize various characteristics and relationships in tabular data. Tabular data refers to vector or feature data, as well as stand-alone tables.
Compare categories and amounts
| Chart | Description |
|---|---|
Use a bar chart to summarize and compare categorical data. | |
Use a combo chart to combine bar and line series in one chart, with optional dual y-axes. | |
Use a pie chart to visualize part-to-whole relationships using slices to represent proportions. | |
Use a matrix heat chart to visualize relationships between categorical variables. |
Explore relationships and correlation
| Chart | Description |
|---|---|
Use a scatter plot to visualize the relationship between two numeric variables by displaying one variable on the x-axis and the other variable on the y-axis. | |
Use a scatter plot matrix to create a grid of scatter plots visualizing bivariate relationships between combinations of multiple numeric variables. |
Visualize distributions and frequency
| Chart | Description |
|---|---|
Use a histogram to visualize the distribution of values in a numeric variable by grouping numbers into bins and measuring the frequency of those groups. | |
Use a box plot to visualize and compare the distribution and central tendency of numeric values through their quartiles. | |
Use a QQ plot to assess the similarity between the distribution of two numeric variables or between one numeric variable and a standard normal distribution. |
Visualize change over time or distance
| Chart | Description |
|---|---|
Use a line chart to visualize change over a continuous range, such as time or distance. | |
Use a data clock to visualize seasonal or cyclical patterns and trends over time. | |
Use a calendar heat chart to visualize yearly or weekly patterns in temporal data. | |
Use a profile graph to visualize change in elevation or measure along 3D lines, to chain lines, or to graph output from the Line Of Sight geoprocessing tool. |
