Easily Identify Data Trends with Sparklines
SpreadJS provides many options to improve data visualization – one option is sparklines. Sparklines provide a graphical representation of your data in a single cell. Embed these small charts into any cell to quickly show trends in your data, such as increases and decreases, minimum and maximum values, stock levels, costs, and more.
- Display trends in a minimal area using this alternative to standard charts
- Visualize a group of data by placing a sparkline in a spreadsheet cell
- Provide a graphical representation of your data using a variety of sparkline types
Show how transactions change between a starting and ending value with vertical or horizontal bars to display data and data values.
Easily compare data and data values. Provide a clear structure to display gradual changes in the quantitative value of something over time.
A boxplot sparkline uses vertical quartiles to show the variability of numerical datasets.
The horizontal bullet graph can serve as a replacement for gauges and meters in dashboards because of its ability to convey large amounts of information in a compact space.
The Vbar sparklines can be used as a value plot for a vertical bar or column. Create a Vbar sparkline using the VBARSPARKLINE formula and cell values.
The Horizontal Pareto sparkline is widely used in logistics to optimize stock levels and cost. It highlights the most critical items in a set of values using various display options, including horizontal, vertical, bar, and column. A Pareto sparkline helps segregate problems and causes.
A Vertical Pareto sparkline is a sorted histogram where the columns are sorted in descending order, and a line represents the cumulative total percentage. It enables users to visualize information quickly and can be used as an excellent communication tool.
A pie sparkline is a circular graph that is divided into slices to illustrate numeric proportions. Pie sparklines make it easier to visualize percentages of data and how it compares to other information.
Area charts are commonly used to showcase data that depict a time-series relationship. Data in an area chart is plotted on the x- and y-axis, and data values are plotted using data points that are connected using line segments.
Scatter sparklines can compare numeric values, such as scientific, statistical, and engineering data.
You can use the spread sparkline to show the statistical spread of a data set with an average line, including the data distribution of student grades.
A vari sparkline shows a value as either a positive or negative variance bar. It's mainly used in financial reports to plot the budget and actual variance or YoY variance.
SpreadJS supports built-in Excel sparklines, such as line, column, and win-loss sparklines.