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After you made a selection in a dataset, the system will automatically choose the type of visualization which better fits your selection. However, you can switch between different visualization types on the right panel.
There are several visualizations types available for selection in the Dataset Viewer: chart, table, map, bubble chart, treemap, ranking, and pictogram chart. There are also multiple types of charts available for use: line, spline, column, bar, and area (including stacking and percentage stacking), pie, donuts, and radar.
Visualizations are aimed at making numerical data easy to perceive. In some cases, one type of visualization will fit better than others.
- Line (1) and spline (2) charts are usually used to show one or several time-series in dynamics, for example, US GDP per capita.
- Column charts (3) are generally used to show change, for example, US GDP growth. You can see both negative and positive changes. Area charts (4) can also be used for this purpose.
- Bar charts (5) can be used to compare several elements measured in comparable units. For example, middle east countries account balance in 2017.
- Use a pie (6) or donut chart (7) to show the breakdown of some totality representing 100 percent, for example, China value added by sectors. You can also use a stacking column (8, 9), bar (10, 11), or area chart (12, 13) for this purpose. This shows composition in dynamics.
- Radar charts (14) can be used to show the performance of several countries across several indicators, like, value added by sectors in Brunei, Sierra Leone, and Luxembourg.
- Tables (15) can be used to show time-series measured in different units, for example, Australia’s current account balance, GDP, consumer price index, and population.
- Rankings (16) and maps (17) are typically used to compare different countries by some indicator, like, population.
- Treemap is used to present hierarchically structured data, like causes of death classification. There are three types of treemaps: treemap (18), bubble tree (19), and sunburst (20).
- Use a bubble chart (21) to see a correlation between two or three variables, for example, health expenditure, life expectancy, and GDP per capita in different countries.
- Pictogram charts (22) are good for showing some physical units, such as the number of commercial bank branches per 100,000 adults in different countries.