11# LeetCode Contest Analytics
2- The following observations are conducted with ** _ Amazon Redshift _ ** .
2+ The following observations are conducted with ** Amazon Redshift ** .
33
44## Data Overview
5- - The collected data are from the top ** 50,000** users of _ LeetCode _ global contest ranking and ** 2334** problems
5+ - The collected data are from the top ** 50,000** users of LeetCode global contest ranking and ** 2334** problems
66of ** 585** contests.
77- The range of ratings in the data collected is ** 1788 - 3700** .
88
@@ -11,12 +11,17 @@ of **585** contests.
1111- Their accounts exist in both US and CN data regions.
1212
1313## Countries by Number of Users
14- ![ ] ( ./images/user_distribution.png )
14+ ![ ] ( ./images/user_distribution.jpeg )
1515- Approximately ** 15,600** users are from unknown countries.
1616- China and India are the two largest populations in the world. The markets in these countries are probably more
1717competitive as well.
1818- These top countries are likely more competitive and developed in the tech market.
1919
20+ ## Average Rating of Top Countries by Number of Users
21+ ![ ] ( images/avg_rating.jpeg )
22+ - There's no correlation between the number of users and the average rating of a country among the top 50,000 users.
23+ - LeetCode might not be popular in some countries, where they prefer other competitive programming platforms.
24+
2025## Average Ranking by Rating Bracket
2126![ ] ( ./images/avg_bracket_ranking.jpeg )
2227- _ Average ranking_ is the average placement of all contests a user attended.
@@ -26,8 +31,15 @@ competitive as well.
2631- Contestants can predict their future growth and potential rating bracket based on this graph. Eg: A person with a
2732current rating of 2000 and an average ranking of 100 can possibly reach 3250+ without difficulty.
2833
34+ ## Average Number of Contests Attended by Rating Bracket
35+ ![ ] ( images/avg_contest_count.jpeg )
36+ - It can be inferred from the graph that it takes more contests to reach a higher rating.
37+ - Among these rating brackets, _ 3250 - 3499_ seems to be the hardest to reach.
38+ - _ 3500+_ seems to take fewer contests to reach, likely because people in this rating bracket are more experienced
39+ competitive programmers who practiced and attended a lot of contests on other platforms and in real life.
40+
2941## Topics by Number of Appearances
3042![ ] ( ./images/topics.jpeg )
3143- These topic tags show up most frequently during contests.
32- - The topic tags in _ LeetCode _ might be insufficient. Eg: A problem uses the line sweep technique, but it's not tagged line sweep.
44+ - The topic tags in LeetCode might be insufficient. Eg: A problem uses the line sweep technique, but it's not tagged line sweep.
3345- Practicing these topics accordingly might improve your average contest placement.
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