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Visualisation for Business

ANL 201

Advanced Data Visualisation Techniques

Study Unit 5

January 2020

Visualisation of

Spatial Data

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Visualisation of Spatial Data Best practices for visualising spatial data (1/2)

‣ The most common way to visualise spatial data is with maps that place values within a geographic coordinate. We can visualise the geographic coordinate of a

location by mapping the latitude and longitude coordinates to two-dimensional

space, and draw a point on the space

‣ When the density of individual locations across a region is more informative than the overlapping points on a map, we may want to colour code the region based

on the density scale, or use lines to show data continuously over geography

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Visualisation of Spatial Data Best practices for visualising spatial data (2/2)

‣ We can also size the regions by the data and ignore the physical area, so that the regions with high density data will appear bigger than the regions with low

density data

‣ If we want to explore relationships between entities, we can plot each entity on a map, and draw lines to connect each with the others they are associated with

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Visualisation of Spatial Data Visualising spatial data

‣ Map

‣ Mapping Point-to-Point Details on Map

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Visualisation of Spatial Data Visualising spatial data — map

https://help.tableau.com/current/pro/desktop/en-us/maps_howto_simple.htm

https://help.tableau.com/current/pro/desktop/en-us/maps_howto_simple.htm
Mun Teng
Sticky Note
instead of the colour the size can be adjusted
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Visualisation of Spatial Data Visualising spatial data — point-to-point details on map

https://help.tableau.com/current/pro/desktop/en-us/maps_howto_origin_destination.htm

https://help.tableau.com/current/pro/desktop/en-us/maps_howto_origin_destination.htm
Mun Teng
Sticky Note
for example, mrt lines. thickness of the size of the note can represent how many passengers are stopping at this point - size of it shows how populated they are
Visualisation of

Multi Variable Data

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Visualisation of Multi Variable Data Best practices for visualising multi variable data

‣ To visualise multi-variable data, we can fit all data onto a screen and display the relationships amongst variables or trends in each variables

‣ We can use scatterplots to visualise the relationships amongst variables

‣ However, if the relationships amongst variables are not so straightforward, we should consider using multiple views through more straightforward charts

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Visualisation of Multi Variable Data Visualising multi variable data

‣ Scatterplot

‣ Circle View

‣ Side-by-Side Circle Plots

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Visualisation of Multi Variable Data Visualising multi variable data — scatterplot

https://help.tableau.com/current/pro/desktop/en-us/buildexamples_scatter.htm

https://help.tableau.com/current/pro/desktop/en-us/buildexamples_scatter.htm
Mun Teng
Sticky Note
see how 2 variables relate to each other
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