DataViz Makeover 03

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.

Dan Hai http://linkedin.com/in/dan-hai-1283091b4
03-21-2021

1. Critique of Data Visualization

1.1 Clarity Issue

1.2 Aesthetic Issue

1.3 Improve from Clarity

1.4 Improve from Aesthetics

2 Sketch of Proposed Design

2.1 Sketch

2.2 Advantages of Propose Design

Please view the visualization on Tableau Public 1 Tableau Public 2

3 Step -by-step Description on Data Visualization Design Process

3.1.1 Data Preparation

  1. Import Data into Tableau

  1. Hide the column that we might not use

  1. Create new column as ‘Number count’ for later pie chart preparetion

3.1.2 Data Visualization for Distribution Map Chart

  1. Change background into Outdoors

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

3.1.3 Data Visualization for Aggregate Map chart

  1. Drag Count into size and country into Label, country into Detail.

  1. Create Pie chart for detail information add into Tooltip

  1. Edit Tooltip and insert the pie chart with the link

  1. Change the calculation method into Median of Longitude and Latitude for more accurate location, because the location for each country is shifting after I aggregate them.

3.1.4 Data Visualization for Bar chart total

  1. Drag ‘Country’ into Columns and ‘Count’ into Row

  1. Create Fliter with Year 2015-2020 and create Country Fliter

  1. Create Animation Title with ‘Country’ insert

  1. Sort the bar chart with Descending Order

3.1.5 Data Visualization for ‘Armed Conflict Event by Type’

  1. Drag Country into Columns, drag ‘Event Type’ and ‘Count’ into Rows

  1. Create Fliter with Year 2015-2020, create Country fliter, ‘Event type’ on color and ‘Count’ on Label

  1. Final Result

Dashboard for map

  1. Drag two maps into one dashboard

  1. Edit the Title Color:

change the color into light grey for aesthetic

  1. Add source:

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

Dashboard for bar chart

  1. Drag two tables into one dashboard

  1. Edit the Title Color:

change the color into light grey for aesthetic

  1. Add source:

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

4. Final Visualization

4.1 Snapshot of Dashboard

4.2 Main observations

  1. 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%.

  2. Indonesia had the highest number of protests with 3,482. Burma was second with 1,571

  3. 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

  4. 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.

  1. Reference

https://acleddata.com/#/dashboard

https://public.tableau.com/profile/tskam#!/vizhome/South-eastAsiaArmedConflictAnalysis/South-eastAsiaArmedConflictAnalysis

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