Creating a Dashboard in Tableau

Creating a Dashboard in Tableau

Today we learned how to make dashboards to use when we begin putting together stories from multiple data visualisations. 

The following dashboards I created are not final, they have been created for practice so when I create future dashboards I’ll have more experience of what to create.

The data visualisations I created are about time spent doing activities by gender and time spent on screens.

Without context, it is already clear that university students spend a good amount of time on devices. You can see the average amount of hours spent on each device, as a university student a specific device should translate to whether or not enough university study is being done.

The other chart I created compares the time spent on activities by gender, this is useful because you can compare data and create stories based on each activity.

This activity was helpful to me so I can see which visualisations I can include in my final infographic. I will also need to add additional information to contextualise my graphs.

Gender x Average Hours Spent by Activity

Screen Use and Type

Gathering Unit-Wide Statistics

Gathering Unit-Wide Statistics

During today’s class, we received a set of data recorded from each student studying this unit. The data reflected what each student did for activities during the week.

The task was to create a quick data visualisation of the recorded week. 

I decided to make a data visualisation on the use of transport from all students in the unit.

From this visualisation, we can see which mode of transport is most popular and most used in that week recorded.

We can also observe and make stories, such as how students get to university and back.

I believe this is a good start to an effective visualisation, with more refinement and more direction I believe I can take this data and use it for my final infographic.

Use of Transport by Students
Deaths from Particulate Matter

Deaths from Particulate Matter

In class today, we were asked to make three visualisations from a set of data, which were death rates from ambient particulate air pollution; it showed trends in emissions from 1990 to 2017. One of them had to be a choropleth, a map that uses differences in shading, colouring, or the placing of symbols to indicate the average values of a particular quantity in those areas. The data presented a global-level overview of air pollution.

Most Affected Countries from Pollution

10 Most Deaths per Country by Pollution

Death Rate per Year