Data charts are visual representations of numerical data that are used to communicate information in a clear and easy-to-understand format.
They come in many different forms, such as bar charts, line charts, scatter plots, pie charts and more, can be used for a variety of purposes, including data analysis, reporting, and decision making.
It is important to recognize the objective of the dashboard and try to convey it in the most appropriate and simple way to meet this objective.
One example of using data charts for data analysis is in the field of research. A researcher may use a scatter plot to analyze the relationship between two variables in a dataset. By plotting the data on the chart, the researcher can identify patterns and trends in the relationship between the variables and make inferences about their relationship. This can help the researcher to identify potential causes or predict future outcomes based on the observed data.
If we have such or a similar objective, we should make use of charts that allow us to enter the deepest level of the data. As we can see, this objective is related to the sample of Show Detailed Data.
Line charts, bar charts, scatter plot stacked line&bar chart, heat map, tables, pie chart, etc.
One example is in retail, where a line chart can be used to track sales over time. This can be used to identify trends in customer purchasing behavior and make predictions about future sales. Retailers can use this information to make decisions about inventory management and marketing strategy.
Finally we have to take into account the objective of the reporting or similar, to show results after a data analysis for them the charts and dashboards of these similarities should be in the visual line of Show General Data.
Indicators, panel info, pie charts, tables, Line charts with trends or similar report, bar charts with comparative or similar, stacked line&bar chart, etc.
One example of using data charts for decision making is in finance. A financial analyst may use a line chart to display the historical performance of a stock over a certain period of time. The analyst can then use this chart to identify trends and patterns in the stock's performance, such as periods of growth or decline. With this information, the analyst can make informed decisions about buying or selling the stock.
This point may have similarities with data analysis and reporting, which is why it is similar to the visual hierarchy mixed.
Indicators, tables, line charts, bar charts, stacked line&bar chart, heat map, scatter plot, pie chart, etc.