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Pandas: cleaning data — practice questions · JobPrax
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Pandas
Pandas: cleaning data
Missing values, duplicates, text and dates.
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All levels
Basic (6)
Intermediate (7)
Advanced (7)
All
To do
Solved
1
Count missing values
Basic
2
Drop rows with missing name
Basic
3
Fill missing scores
Basic
4
Remove duplicates
Basic
5
Trim and fix case
Basic
6
Change a column type
Basic
7
Parse messy numbers
Intermediate
8
Parse messy dates
Intermediate
9
Standardise categories
Intermediate
10
Fill with the mean
Intermediate
11
Duplicates on a key
Intermediate
12
Replace values
Intermediate
13
Clip extreme values
Intermediate
14
Full clean pipeline
Interview
Advanced
15
Fill missing by group
Advanced
16
Forward fill a time series
Advanced
17
Remove outliers with IQR
Interview
Advanced
18
Split a column
Advanced
19
Bin into categories
Advanced
20
Data quality report
Interview
Advanced