시각화 전 데이터 전처리-Data Prep for Visualization

Example

Removing outliers and duplicates from a sales dataset.

Scenario

Before visualizing annual sales trends, data cleaning ensures that anomalies or repeated entries do not skew the results.

Example

Converting categorical data into numerical formats for analysis.

Scenario

Transforming survey responses (like 'Satisfied', 'Neutral', 'Dissatisfied') into numerical values for sentiment analysis.

Example

Scaling feature values to have zero mean and unit variance.

Scenario

In a dataset with features on different scales, normalization ensures that each feature contributes equally to the analysis.

Example

Imputing missing data points in a dataset using mean or median values.

Scenario

Filling in missing temperature readings in a climate dataset to analyze weather patterns without gaps.

Example

Creating new variables from existing ones to highlight relationships.

Scenario

Deriving a 'Price per Square Foot' feature from real estate listings to compare property values effectively.