South-east Asia Armed Conflict Analysis is a data visualisation created to reveal the spatio-temporal patterns of armed conflict in selected South-east Asia countries between 2015-2020.

The color matching of the map ignores the problem of red-green colorblindness, which seems to be a small problem. However, there are an estimated 300 million colorblind people worldwide. We should avoid using Green color.
There is a lot of useful information in our dataset, but when we look at the information for each location, there is very little information in Tooltip.
In the line chart on the right, the range of Y-axis is different, which may easily lead to misunderstanding.
One great advantages of using line chart is to show tendency, while bar chart can better show distribution.It seems to me that the right on the right want to showcase distribution but using line chart.
In fact, in the map on the left, if you look at it alone, you can only find distribution, and you can’t really get anything more insight. Should enrich the content with tooltip.
The color of the map is too dark, it is not aesthetically pleasing, we can try a different background instead.
The figure on the right looks particularly messy and does not compare trends in each column.
The colors on the right are also very monotonous. Can try to enrich a simple line chart

In Tableau, click Map Background Function and change it as ‘outdoors’.
Can do it in Tableau by dragging Event Type into color square box, but it is best by using bar chart instead of line chart.
Add a pie chart to the tooltip to show the proportion of event types for each country.

Please view the visualization on Tableau Public 1 Tableau Public 2
My improvement is I want to use two maps in a dashboard, the first one is the initial figure prof give to us in the assignment, I put the background into OUTDOORS and added more information in the tooltips , the second map is on the sketch above, I hope the audience can quickly know the number of national conflict. At the same time, through pie chart, detailed information about event type percentage are on the tooltips.
The following sketch from the bottom can also form a dashboard. The bar chart on the left shows the comparison of the total number of each country, while the bar chart on the right is refined to the comparison of each event type, which is clear and easy to understand. Meanwhile, it expresses roughly the same meaning as the first dashboard, but with different presentation modes.




2 Add ‘Notes’ and ‘Sub Event Type’ on Detail to show more information

3 Avoid of using Green color and change the Green color into Brown on the ‘Strategic Development’ type














change the color into light grey for aesthetic

Using Objects > Text > drag to bottom left and add : “Source: The Armed Conflict Location & Events Data Project (https://acleddata.com/#/dashboard)”

change the color into light grey for aesthetic

Using Objects > Text > drag to bottom left and add : “Source: The Armed Conflict Location & Events Data Project (https://acleddata.com/#/dashboard)”
4.1 Snapshot of Dashboard


4.2 Main observations
The Philippines has the largest number of armed conflicts, accounting for 11,092, of which Vilence Against Civilian accounts for 59.69%, followed by Battle, which accounts for 20.48%. In second place is Myanmar, of which Battles has the largest of proportion with 41.97%.
Indonesia had the highest number of protests with 3,482. Burma was second with 1,571
As can be seen from the bar chart and the map, LAOS is relatively stable in these eight countries, with 35 cases of armed conflict in total between 2015 and 2020
The most density armed conflict part in Malaysia is in Kota Bharu. The most density armed conflict part in Myanmar is Akyab. The most density armed conflict part in Thailand is Bangkok.


https://acleddata.com/#/dashboard
https://community.rstudio.com/t/how-to-stack-two-images-horizontally-in-r-markdown/18941