🗃️ Chart
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📄️ Pie Chart
A Pie chart is a circular graphical representation used to show the proportion or percentage of different categories within a whole. Each "slice" or "segment" of the chart represents a specific category, and its size is proportional to the amount it represents within the total set. These charts offer a variety of customization options that users can configure to adjust the appearance and functionality of the chart according to their needs. These configurations can be found in the Menu option. The following sections will detail these options:
📄️ Scatter Chart
A Scatter chart is a visual representation that plots two numerical variables as points on a Cartesian plane. This type of chart helps to analyze the relationship between the variables, their distribution, and the potential correlation between them. Scatter charts come with a range of customization options that allow users to modify the chart’s appearance and functionality to suit their needs. These settings can be accessed through the Menu option. The following sections will provide a detailed overview of these options:
📄️ Cards Chart
A Cards chart is a visualization format often found in dashboards, designed to present crucial information in a compact and clear way. Unlike other charts that use bars, lines, or points to represent data, this format showcases individual metrics in the form of "cards," each highlighting a specific value. The chart offers various customization possibilities to adjust the appearance and behavior of the cards to suit specific requirements. These options can be accessed under the Menu section, and the following sections will provide a detailed overview of them.
📄️ Treemap Chart
A Treemap chart is a type of hierarchical visualization that organizes data into nested rectangles, where the size of each rectangle reflects a quantitative value, and the color provides an additional layer of information. This chart is effective for illustrating how parts are distributed within a whole and for comparing different categories or elements within a hierarchy. There are many customization options available to adjust the chart’s appearance and functionality to meet your specific needs. These settings can be found in the Menu option, and the following sections will detail these choices.
📄️ Grid Chart
A Grid chart is a visualization format that structures data into rows and columns, often used to display large datasets in a clear and organized way. It helps users analyze and compare different variables or categories in a structured format. While it is not as "visual" as charts like bars or lines, the Grid chart is excellent for comparing numerical and categorical data. Customization options for the Grid chart allow you to adjust both its appearance and functionality. These options can be found under the Menu. The following sections will elaborate on these options.
📄️ Pivot Chart
A Pivot chart is a versatile and interactive visualization that allows users to dynamically reorganize and analyze large datasets using a pivot table framework. This chart type is particularly valuable for exploring correlations between different variables and making sense of intricate data. Pivot charts offer flexibility in presenting data, letting users choose various dimensions and metrics to display relationships visually. Additionally, you can personalize several features of the chart to better suit your analysis needs and optimize data visualization. These features are located in the Menu option, which is explained in the following sections:
📄️ Filter Elements
The Filter Elements Chart allows users to quickly and efficiently filter and view specific data within a chart. This type of chart is especially useful in dashboards where users need to focus on specific subsets of data for detailed analysis. Through filters, users can customize the visualization based on different criteria, enhancing understanding and decision-making. Below, we will detail the different types of filters: