PUBG Mobile Global Championship Season Zero League Stage Analysis Using R.
Hello, everybody. In this post, I will show you about PUBG Mobile Global Championship Season Zero League Stage analysis using R. This data collected from Liquipedia page. I do copy-paste page to excell table (on December 23, 2020) and analysis in R using rio, tidyverse, janitor and ggthemer package.
Previously, I had done a similar analysis about PUBG Mobile. You can read it in the following post.
Loading library, and Prepare Data.
The data that I have is in the form of excell and each sheet contains one superweekend week. For that I combine (bindrow) for each sheet. Here I use the Rio library to load data.
Once the data has been loaded, and then I fix the name of the column as shown in the table above. The next step is to change the frame data structure to be tabular.
The data above is data that is ready for analysis. I added a new column, namely placement points based on team placement for each round and total points (kill + placement point).
Visualize.
In this section, I transform the data into a graph/plot to make easier to understand.
From the bar chart above, Four Angry Men (4AM) become winner league stage and Bigetron Red Aliens (BTR RA) become the runner up.
The top 16 in the league stage rankings qualified for the grand finals to be held in Dubai, Uni Emirates Arab. But Loops was disqualified by the organizers, so A1 Esport moved up from 17th to 16th and qualified to the grand finals.
From the scatterplot above 4AM has more kill and placement point than other teams.
From the heatmap above, there are only 8 teams that consistently participate in the superweekend for 4 weeks, that is:
- Four Angry Men (4AM), China
- Bigetron Red Alien (BTR RA), Indonesia
- RRQ Athena (RRQ Ath), Thailand
- Konina Power (KP), CIS
- Klas Digital Athletics (Klas DA), Turkey
- Loops Esport (Loops), Brazil
- Team Secret Jin (TSJ), Thailand
- Fubolist (FTB), Turkey
From barchart above, Four Angry Men (4AM) in week 3 to get points to very little, but they can fix the mistake and get a point is very high in the nexy week.
From boxplot above, the top 4 teams had relatively similar kill points, but only Konina Power Team (KP) never got more than 15 kills.
From boxplot above, the top 4 teams have relatively similar points placement, but the Konina Power (KP) and RRQ Athena (RRQ Ath) teams have placement points below the average Bigetron Red Aliens (BTR RA) and Four Angry Men (4AM) teams.
From the bar chart above, Four Angry Men (4AM) and Konina Power (KP) have more WWCD (1st placement) than any other team. However, Bigetron Red Aliens (BTR RA) and RRQ Athena (RRQ Ath) have a higher final rating than Konina Power (KP).
Thank You.
Amri Rohman.
Sidoarjo, East Java, ID.