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10 changes: 5 additions & 5 deletions README.md
Original file line number Diff line number Diff line change
Expand Up @@ -16,14 +16,14 @@ df.apply(lambda x: func( x['col1'], x['col2']), axis=1 )
> This will allow you to create pretty much any logic, I promise!!!

### :file_folder: **Data**
To perform the challenges you will use the dataset `/data/imput/IMDB-Movie-Data.csv`
To perform the challenges you will use the dataset `/data/input/IMDB-Movie-Data.csv`

### :panda_face: **Challenge 1. Warm up**
We want to create **bins** of movies according to the number of votes they've received. For that matter, we will create a new column named **'bin'** which will tag every movie as follow:
- From 0 to 1000 ==> 1
- From 1000 to 10000 ==> 2
- From 10000 to 100000 ==> 3
- From 100000 to 1000000 ==> 4
- From 0 to 999 ==> 1
- From 1000 to 9999 ==> 2
- From 10000 to 99999 ==> 3
- From 100000 to 999999 ==> 4
- More than 1000000 ==> 5

### :panda_face: :panda_face: **Challenge 2. Using axis concept**
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