Which Type of Dashboard Would Track Historical Data for Predictive Analysis?


Heather Bennett

When it comes to tracking historical data for predictive analysis, having the right type of dashboard is crucial. A well-designed dashboard can provide valuable insights and help in making informed decisions. In this article, we will explore different types of dashboards that are specifically designed for tracking historical data.

Line Chart Dashboard

A line chart dashboard is one of the most commonly used dashboards for tracking historical data. It provides a visual representation of data points over a period of time.

The x-axis represents time, while the y-axis represents the values being tracked. This type of dashboard is ideal for analyzing trends and patterns in historical data.

With a line chart dashboard, it becomes easy to identify any significant changes or anomalies in the data. It allows users to drill down into specific time periods and analyze the data at a granular level. Additionally, line chart dashboards can be interactive, allowing users to hover over data points and view detailed information.

Bar Chart Dashboard

A bar chart dashboard is another effective way to track historical data for predictive analysis. Unlike a line chart, which shows continuous changes over time, a bar chart displays discrete values using rectangular bars. Each bar represents a specific category or time period.

This type of dashboard is particularly useful when comparing different categories or time periods. Users can easily identify any variations or trends by comparing the heights of the bars. Bar charts are also effective in highlighting outliers or anomalies in the data.

Pie Chart Dashboard

While pie charts are commonly used to represent proportions, they can also be utilized as dashboards for tracking historical data. This type of dashboard is especially useful when analyzing categorical data over time.

A pie chart can show how proportions change over different time periods. By comparing the sizes of different segments within the pie, users can quickly understand the distribution of data and identify any significant changes.

Dashboard with Tables

In addition to visual charts, dashboards can also include tables for tracking historical data. Tables allow users to view large amounts of data in a structured format. They are particularly useful when dealing with complex datasets or when a more detailed analysis is required.

Tables can be customized to display specific columns and provide filtering options for better data exploration. By sorting and organizing data in a table, users can easily identify patterns or trends over time.


Choosing the right type of dashboard to track historical data for predictive analysis depends on the specific needs and requirements of the project. Line chart dashboards are ideal for analyzing trends and patterns, while bar chart dashboards are effective in comparing different categories or time periods. Pie chart dashboards can help understand data distribution over time, while tables provide a detailed view of the data.

To make the most out of these dashboards, it is important to consider factors such as data complexity, visualization requirements, and user preferences. By selecting the appropriate dashboard type and utilizing HTML styling elements like bold, underline,


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