This week in #MakeoverMonday I worked with data about internet penetration. This dataset is from interesting source of public data called Knoema.

Original vizz consists from interactive map which shows percentage of internet users in countries from 1960 to 2015.

I like the map vizz and possibility to select particular year. But it is difficult to :

• quickly see which countries are on the top or bottom
• understand how the situation changed during the time

So to reveal this insights was my goal for this week.

Exploring the data

The first thing I noticed were missing data for some Years. Therefore I decided to use only data from 2010 to 2015.

And data for some Countries was missing also.

In some cases not fully (only for some Years). But because I wanted to show difference between Years, I decided to filter out Countries with incomplete data.

I calculated number of  null and zero records per Country and then filtered out Countries with count higher than 0.

Creating vizz

My idea was to create vizz from this parts:

• map showing Number of internet user in individual Countries
• filter for Year
• bar charts with top and bottom 5 Countries
• bar chart shows Countries with the highest Increase of internet users

Map and filter for year

Create the map is easy task. But because I wanted to work with Year across all parts of vizz (even in text fields) I created the parameter for year.

I separated Number of users in particular Years.

And created calculation for Number of user in these Years.

Then I used this new measure to create the map.

Top and Bottom 5 countries

I used again the same calculated field. To show only 5 top (or bottom) I created set from Countries and used it in filter.

Countries with the highest increase of internet users

Because I decided to show Year to Year difference without table calculation, I created new calculated field which I used to create bar chart.

And after putting elements in one dashboard and some formatting, this is the result.