Introduction

Severe Weather Data Analysis

Data used in the visualizations was obtained from NOAA’s Storm Events Databse. Storm Events Database consists of different types of weather events information and I specifically worked on data around the occurrence of storms and other significant weather phenomena having sufficient intensity to cause loss of life, injuries, significant property damage, and/or disruption to commerce;

Storm Data (WA - 2018)

Column

Area-wise Storm Intensity

Column

Storm Events Count

Events by County-Zone

Storm, Lightning & Effects

Row

Zone-wise Event Density Analysis

Lightning Strikes Analysis

'data.frame':   6155 obs. of  5 variables:
 $ X.ZDAY     : int  20180101 20180101 20180101 20180101 20180101 20180101 20180101 20180101 20180101 20180101 ...
 $ CENTERLON  : num  -96.7 -135.2 -100 -79.7 -136.3 ...
 $ CENTERLAT  : num  28.3 57.1 29.9 28.4 56.4 58.5 58 27.9 59 24 ...
 $ TOTAL_COUNT: int  1 1 2 1 1 1 1 5 1 1 ...
 $ popup      : Factor w/ 6122 levels "Longitude: -100 Latitude:  29 No of Lightnings: 3",..: 5610 1659 2 4551 1700 2278 2089 4892 2360 5141 ...

Storm Effects Analysis

Questions

Further research can be conducted based on below questions:

  1. What are the areas with high lightening frequency?
  2. Time of the year when most lightnings are been observed.
  3. What are effects in each of these areas e.g. Property Damage, Agriculture,Human Deaths etc.
  • Identify such areas, destructions it has been historically causing in such areas and take preventive measures.

  1. What kind of shelters people should look for in case of storm, in what areas of a city or state?

  2. What kind of shetlers should cities develop that can help more people and reduce impacts of storm.