issues
search
westrany
/
Data-Scrubbing-and-Cleaning-for-Improved-Analysis
A demonstration of data cleaning techniques using Python's Panda libraries with the aim to prepare raw datasets for analysis by addressing inconsistencies, missing values, outliers, and other data quality issues.
MIT License
0
stars
0
forks
source link
Initial Data Assessment
#3
Closed
westrany
closed
5 months ago
westrany
commented
5 months ago
[x] Explore the structure of the datasets (columns, data types, size).
[x] Check for missing values, duplicate entries, and outliers.
[x] Identify any inconsistencies or errors in data formats.