Data Preparation Guide

Learn how to prepare your data effectively for chart creation. Proper data preparation is crucial for generating accurate and meaningful visualizations.

Data Organization

Basic Structure
  • Use clear column headers
  • Organize data in rows and columns
  • Remove blank rows and columns
  • Use consistent data formats
  • Avoid merged cells
Data Types
  • Numbers for quantities
  • Text for categories
  • Dates in consistent format
  • Boolean values (Yes/No)
  • Percentages as decimals

Data Cleaning Steps

1
Remove Duplicates
Check and remove any duplicate entries in your dataset.
2
Handle Missing Values
Decide how to handle null or missing values consistently.
3
Standardize Formats
Ensure consistent formatting across similar data types.
4
Validate Data
Check for and correct any inconsistencies or errors.

Chart-Specific Preparation

Time Series Data
  • Sort chronologically
  • Use consistent time intervals
  • Handle missing time points
  • Consider seasonality
  • Format dates properly
Categorical Data
  • Group similar categories
  • Handle outliers
  • Consider order/hierarchy
  • Use meaningful labels
  • Check spelling consistency
Numerical Data
  • Check for outliers
  • Consider scale/units
  • Round appropriately
  • Handle negative values
  • Normalize if needed

Best Practices

  • Keep raw data separate from analysis
  • Document data transformations
  • Use consistent naming conventions
  • Back up your data regularly
  • Validate calculations

Common Pitfalls

  • Inconsistent data formats
  • Mixed data types in columns
  • Hidden rows or columns
  • Incorrect date formats
  • Formatting instead of formulas
  • Hard-coded calculations
  • Unclear or missing labels
  • Improper handling of missing data
Taking time to properly prepare your data will save you time and effort later, and ensure your charts accurately represent your information.

Need Help?

If you need help with data preparation or have specific questions, contact our support team at gaoming1478@gmail.com.