Standard Deviation

Mean

Bar Chart

Correlation Matrix

df.columns.rename()

change_column_names()

df.rename()

rename_columns()

remove_duplicates()

delete_duplicates()

clean_duplicates()

drop_duplicates()

It adds noise to the data

It improves the quality of the data

It slows down data processing

It increases the dataset size

Empty cells or NULL values

Duplicate entries

Incorrect values

Outliers

Encrypting sensitive information

Generating summary statistics

Creating new datasets

Removing outliers and errors from datasets

All of the above

Customer segmentation

Personalized recommendations

Predictive maintenance

Fraud detection

Data analysis

 All of the above are steps in the data science process

Data collection

Data cleaning

Data interpretation

PYTHON

C

JAVA

C++

Data Analysis

Data Encryption

Data Collection

Data Cleaning