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Supported visualizations

When creating custom reports you can choose between a number of visualizations. This article document supported visualizations, additional options and tips on when to use each one.

Jump to: ColumnBarLineAreaPieHeatmapBig numberTableFloor plan


 

Column chart

Example of a column chart with stackingColumn chart (or a vertical bar chart) works especially well for time series with only a few dates, as there is limited space on the X axis.

Additional options: Stacking

Stacking is ideal to present proportions of categories, providing an easy comparison.

When displaying multiple metrics or using a breakdown you can choose different stacking methods:

  • None, each data series is shown separately
  • Standard, series are added up (see example chart above)
  • 100%, values of each series are represented as percentage of the total sum. 

Additional option: Comparison

Report with data comparison

In addition to breakdown that allows you compare different entities such as sites or zones one to another, you can compare your data in time using the Comparison option.

Time comparison is great for contextualizing your data and helping you guide your business trends and decisions.

Comparison supports three modes:

  • None, the default option with comparison disabled.
  • Previous period, data from the selected time frame is compared to the previous period of the same duration (ie. this week compared with previous week)
  • Custom period, where you can compare selected time frame with any other point in time of the same duration.

The data for ongoing day will be compared to the same minute in previous period. In the screenshot above, in the data for August 29 the compared value is the one of 22 Aug at the time screenshot was taken.

Bar chart

Bar chart example

Bar chart (or horizontal bar chart) works well for time series with more time series and is useful for looking at data on a daily basis between multiple categories.

Additional options: Stacking

Stacking is supported by bar charts. See how stacking works.

Line chart

Screenshot of a line chart

Line charts are ideal if you want to show trends and developments over time, especially for changes that are measured continuously (such as entrances and exits). A line chart can help you visually identify trends and patterns at a glance.

Additional options: Stacking

Stacking is supported by line charts. See how stacking works.

Area chart

Screenshot of an area chart

Use area charts if you want to show how values develop over time, if the total number is important as individual categories and there is substantial difference between values of each category. If you want to show how values differ in different categories, use a bar or column chart instead. 

Additional options: Stacking

Stacking is supported by area charts. See how stacking works.

Pie chart

Screenshot of a pie chart

Pie charts are a great way to show proportional parts of a whole. A readable pie chart should not have too many slices and the differences between them should be significant. If you want to show a share between two values (for example gender or age category), simple text or bar chart may be better.

Pie charts can display only one metric at a time.

Heatmap

heatmap example 2

Heatmap can help you spot patterns in your data by grouping and representing your data with colors of different intensity. It's most useful when paired with a zone or passage breakdown.

Your data is automatically distributed into 4 groups based on the minimum and maximum values in your data set. The data is always shown with a 2 hour granularity. If you select multiple days, the average values for across selected days will be displayed.

Heatmap can display only one metric at a time.

Big number

Big number visualization

Big number visualization displays a single metric in an easy-to-ready format. It's best used to provide summaries at the top of your report wither with live data or aggregate over time.

Additionally, you can display a trend indicator, comparing the current value with that of the previous period. For example, when looking at data for last 7 days, the comparison will show the trend compared to the period that started 14 days ago. 

Big number can display only one metric at a time.

Additional options: aggregation

By default, big number displays the latest value from the selected time span and time grain. To customize the displayed value you can use the Aggregation setting to customize this.

Supported aggregation methods are:

  • Latest value (default setting)
  • Average
  • Sum
  • Maximum
  • Minimum 

Configuration examples

To display the maximum daily value for the past month, you can select:

  • Time span: Last 30 days
  • Time grain: Daily
  • Aggregation: Maximum

To display the latest up-to-date value:

  • Time span: Today
  • Time grain: Minutely
  • Aggregation: Latest value

You can display up to three Big number visualizations to the same row by dragging and dropping them next to each other when looking at a report.

Table

technis table example

The table visualization shows you precise values of your data and allows you to quickly compare or scan either multiple metrics or a breakdown category. 

You can select data from the table, copy it and paste directly into Excel or Google Sheets to perform additional analysis.

Floor plantechnis floor plan

The floor plan visualization is great for displaying your live and historical data on top of a floor plan of your space.

Multiple metrics are displayed on the map of your space, displaying either:

  • Latest value for the metric when looking at today
  • An average or sum when looking at multiple days

This visualization respects the selected time grain, similar to the Big number visualization.

Before adding it to a report, you have to upload and configure a floor plan in Sites for each of your zones.