Death Map Visualization
This is one of the PUBG maps called Erangel. I used Tableau to plot the of all the player’s death location on the map to generate a death heat map. You can see that the death rate in the center of the map is very high, so players should avoid landing on these high death rates areas.
When I was analyzing the player’s death position by time, I find out that when the game comes to 2–3 minutes, the player’s death position will present a circle on the map.
Let’s take a look at this animation. You can see the time(in seconds) on the upper right corner. I think the reason is because the first blue circle is closing, so these players were died of staying outside the blue circle.
Causes of Death in PUBG
I tried to analyze the causes of death with the packed bubble chart in Tableau.
(filter: map=ERANGEL)
You can see that top3 leading causes of death are:
- Down and out: 17.04% players were died of bleeding to death.
- M416: 11.15% players were killed by M416, an AR type weapon
- M16A4: 9.34% players were killed by M16A4, also an AR type weapon
Data Visualization of other important variables
The dataset provided 1,048,570 anonymized PUBG game stats, and each row contains one player’s post-game stats.
winPlacePerc — This is a percentile winning placement, where 1 corresponds to 1st place, and 0 corresponds to the last place in the match.
walkDistance — Total distance traveled on foot measured in meters.
rideDistance — Total distance traveled in vehicles measured in meters.
swimDistance — Total distance traveled by swimming measured in meters.
kills — Number of enemy players killed.
Data Source: Kaggle: PUBG Finish Placement Prediction
39.4% (413651) of players died without walking at all.
79.1% (829662) of players didn’t use any vehicles in the game.
96.9% (1016754) of players didn’t swim at all in the game.
56.8% (596540) of players died in the game without killing anyone.
To see more about the PUBG project and data sources, please check:
Data Analysis of PlayerUnknown’s Battlegrounds (PUBG) — Introduction &Data Preparation