The following dataframe was collected after I completed a run in Endless Expert mode where I beat over 100 levels without skipping. There is an additional /qmd file entitled fSMM2_EE100_Formatting.qmd
where I show the code that I used to create my dataframe.
The database was created with the help of the SMM2 TGR API.
Variable Name | Type | Description |
---|---|---|
Level | int | The level number |
Course_ID | chr | unique level Course ID |
Lives_Started | int | Lives starting level with |
Lives_Ended | int | Lives after level was completed |
Net_Lives | int | The difference between Lives_Ended and Lives_Started (how many lives were lost) |
Rating | int | Rating I gave level, (-1 = Boo, 0 = No Rating, 1 = Love) |
First_Clear | logi | Stating if I got the First Clear |
World_Record | logi | Stating if I got the World Record on the level |
Level_Name | chr | Level name |
Region | chr | Region where the level maker is from |
Game_Style | chr | Style of level |
Game_Theme | chr | Theme of level |
Tag_1 | chr | Level tag |
Tag_2 | chr | Level tag |
Clears | int | Number of clears the level had |
Attempts | int | Number of attempts the level had |
Clear_Rate | num | Level clear rate |
Likes | int | Number of likes the level had |
Boos | int | Number of boos the level had |
Like_Ratio | num | Ratio of Likes:Boos |