NOAA Storm Events 2024 Visualization

Interactive scatter plot visualization of NOAA storm events data for 2024.

Dataset Overview

• Filename: noaa_storm_events_2024.csv
• Rows: 69,801
• Columns: 11
• Description: Records of storm events across the United States in 2024, including event type, location, magnitude, injuries, deaths, and damage information.

Column Descriptions

1. begin_date

   • Date when the storm event began
   • Data type: Temporal
   • Missing values: None observed in sample

2. state

   • U.S. state where the event occurred
   • Data type: Geographic identifiers
   • Missing values: None observed in sample

3. cz_name

   • County/zone name where the event occurred
   • Data type: Geographic identifiers
   • Missing values: None observed in sample

4. event_type

   • Type of storm event (e.g., Thunderstorm Wind, Excessive Heat)
   • Data type: Nominal
   • Missing values: None observed in sample

5. magnitude

   • Numeric measurement of the event's intensity
   • Data type: Quantitative
   • Missing values: Some entries have 0 values which may indicate unrecorded magnitude

6. magnitude_type

   • Unit of measurement for the magnitude field
   • Data type: Nominal
   • Missing values: Many entries are empty

7. injuries

   • Number of injuries caused by the event
   • Data type: Quantitative
   • Missing values: All values appear to be present but mostly 0

8. deaths

   • Number of deaths caused by the event
   • Data type: Quantitative
   • Missing values: All values appear to be present but mostly 0

9. property_damage

   • Estimated property damage in USD
   • Data type: Quantitative
   • Missing values: All values appear to be present but mostly 0

10. crop_damage

    • Estimated crop damage in USD
    • Data type: Quantitative
    • Missing values: All values appear to be present but mostly 0

11. tor_f_scale

    • Fujita scale rating for tornado events (empty for non-tornado events)
    • Data type: Ordinal
    • Missing values: Most entries are empty as this only applies to tornadoes

Visualization Mappings

• X-axis: property_damage - Shows the financial impact of events on property
• Y-axis: crop_damage - Shows the financial impact of events on crops
• Color encoding: event_type - Categorizes events by type for comparison

These mappings were chosen because:

1. Property damage and crop damage are both quantitative measures of economic impact
2. They allow for meaningful comparison of events based on financial consequences
3. Event type provides a natural categorical distinction for color encoding

Inspiration

Inspired by:

• Interactive Scatter Plot

References:

• Visualization nk2fwdG0qh1d5PXbpwNhr