Customizing Data Displays

Within the data Visualization tool, there are several ways to filter and view data to your specifications. Adding or creating your own data display allows you to choose the type of project data you want to analyze as well as creatively display the data geographically, by category, over time, and more.

Data Display types

Once you create a New visualization (or if you are editing a visualization created by someone else), you will see a menu on the left-hand side with an option to add a new data display. Selectable data displays include: map, histogram (use this same function to create a bar graph), numeric summary, time series, and scatter plot. When working in the visualization space, users can create multiple data displays and filter sets to facilitate different views of the data.

Map A map will display observations geographically with many optional base layers and additional data overlay layers.	Select Map in the New data displays pop-up. After selecting a Filter set, you can select which configuration of symbology you want to appear on the map. You may choose to display data points on the map by color or by size.
Histogram / Bar Chart A histogram is a type of categorical bar chart that will display observations grouped by the value of a selected field. Please note: FieldScope uses the same function for both categorical bar charts and histograms. Whether you need to create a visualization of categorical or numerical data, please select “histogram.”	Select Histogram in the New data display pop-up. After selecting a Filter Set, you can then configure the histogram (or bar chart) by choosing categories from the dropdowns for both the X-axis and Y-axis. As you make selections, a histogram will appear on the right-hand side of the window and will update if you change anything in the configuration. Updating the Filter Set (which filters the data that the histogram is using) will also initiate changes on the histogram.
Numeric Summary A numeric summary displays a single aggregate value representing all the observations.	Select Numeric summary in the New data display pop-up. After selecting a Filter Set, choose a summary method and field in the configuration drop-downs to display the value you want to represent.
Time Series Graph A time series is a line graph that displays values over time for each selected station.	Select Time series in the New data display pop-up. After selecting a Filter set(collection date will be your X-axis), you have the option to choose one or two Y-axes in the configuration drop-downs.
Scatter Plot Graph A scatter plot is a dispersion chart that compares 2 numeric values from each observation simultaneously.	Select Scatter plot in the New data display pop-up. After selecting a Filter set, you have the option to choose both the X-axis and Y-axis in the configuration drop-downs as well as color categories. To view the categories (e.g., month of observation), click the list icon in the upper right corner of the chart.
Range Plot A range plot is a graph that displays values that may be used to compare numerical values of different categorical variables. Bars extend across the x-axis to represent the numeric range (e.g., air temperature) of a categorical variable listed along the y-axis (e.g., month of the year).	Select Range Plot in the New data display  pop-up. After selecting a Filter set, you have the option to choose both the X-axis and Y-axis in the configuration drop-downs as well as options to show mean and median values.

Naming your data display

You can add a name for your data display by clicking on the editing pencil icon.

Once you save the data display, it will return to the main screen of the visualization where all of the created data displays will appear together on the right-hand side.

Adding the data display to your display, deleting and re-positioning a data display

All data displays are editable or can be deleted.

Data displays can be organized within the visualization as well. By clicking on the pin icon in the upper right corner of the data display, a smaller data display can be made into the primary data display of the visualization. We recommend pinning the most eye catching or easy-to-read data display.

Learn more about customizing different widgets here:

• Overview
• Histogram/Bar Chart
• Numeric Summary
• Time Series 
• Scatter Plot 
• Range Plot