Widget Visualization (Chart Type)
Widget Visualization lets you represent your data in various formats to suit your specific analysis needs. With a variety of 21 different visualization methods available, you can select the best display option for the metrics you're analyzing.
After selecting your desired visualization method, you can plot dimension and metric labels and assign them values.
The right visualization can help you quickly interpret data, uncover trends, and make data-driven decisions.
Note: You can click on to delete a particular segment/ series from your visualization if you don’t need that data.
Use Case: For instance, you are working on a report to analyze the global reach of your brand on Instagram and want to see where your followers are located and identify any regions where your presence is growing. Instead of just looking at raw numbers, you can use the Map chart widget visualization to visually plot this data on a world map. This helps you quickly identify the countries where you have the most followers and tailor your content strategy to target those areas more effectively.
On another occasion, you may want to track the follower breakdown by different social network of your brand. Using the Pie chart, you can break down your follower breakdown count across different social networks, to understand your follower count.
Note: You can also select or change your visualization method directly from above the widget preview window.
Here’s a table describing each visualization method available in Statusbrew:
Visualization Method | Description |
[[ic:area area]] Area Chart | Displays data as a filled area below a line, helping you visualize trends over time by emphasizing the magnitude of values. |
[[ic-areastacked]] Stacked Area Chart | Similar to an area chart, but shows multiple datasets stacked on top of each other to compare overall trends. |
[[ic-areaspline]] Area Spline Chart | Uses a curved line to show trends in data with a filled area below, offering a smoother visual compared to the standard area chart. |
[[ic-areasplinestacked]] Stacked Area Spline Chart | Combines the area spline chart with stacking to visualize multiple datasets and their cumulative impact with smooth curves. |
[[ic-bar]] Bar Chart | Displays data using horizontal bars, useful for comparing values across different categories. |
[[ic-barstacked]] Stacked Bar Chart | Like a bar chart, but stacks multiple datasets to show the composition of each category side by side. |
[[ic-column]] Column Chart | Uses vertical bars to compare data across categories, similar to the bar chart but oriented differently. |
[[ic-columnstacked]] Stacked Column Chart | Shows multiple datasets stacked vertically, ideal for seeing the breakdown of categories over time or between groups. |
[[ic-heatmap]] Heatmap Chart | Uses colors to represent data values, with darker or lighter shades indicating higher or lower values, useful for finding patterns or anomalies. |
[[ic-line]] Line Chart | Plots data points connected by straight lines, great for showing trends over a continuous period of time. You can also add steps at the center, left, and right positions. |
[[ic-linestacked]] Stacked Line Chart | Stacks multiple lines to compare different datasets, allowing you to see individual trends as well as cumulative data. You can add steps at each line of the Stack. |
[[ic-spline]] Spline Chart | Displays a smooth, curved line connecting data points, offering a more fluid representation of trends over time. |
[[ic-splinestacked]] Stacked Spline Chart | Stacks smoothed spline lines to compare datasets while highlighting their combined values over time. |
[[ic-pie]] Pie Chart | Breaks data into a circular chart, with each segment representing a portion of the whole, useful for showing percentages or parts of a total. |
[[ic-map]] Map Chart | Plots data across geographical locations, ideal for visualizing audience or engagement across different regions. |
[[ic-treemap]] Treemap Chart | Uses nested rectangles to display data hierarchically, showing proportions between categories or subcategories. |
[[ic-wordcloud]] Wordcloud Chart | Displays text data, with word size reflecting frequency or importance, useful for analyzing content like hashtags or comments. |
[[ic-twodimensionaltable]] 2D Table Chart | Presents data in a tabular format with two dimensions, allowing for detailed comparison across multiple metrics or categories. |
[[ic-table]] Table Chart | Shows data in a traditional table format, making it easy to compare multiple values and metrics side by side. |
[[ic-number]] Number Chart | Displays a single key metric in large, bold numbers, ideal for highlighting KPIs like total followers or engagement rate. |
[[ic-summarytable]] Summary Table Chart | Offers a condensed view of data in table form, summarizing key statistics for quick reference. |
Card visualization | Presents data in small cards stacked vertically one after the other. You can scroll these cards easily and have a look at the metrices at a glance. |
Note: You can click on [[ic-delete]] to delete a particular segment/ series from your visualization if you don’t need that data.