Anyiam-Chinemere-Eberechukwu/BIG-DATA-LIGHTNING-ANALYSIS-FOR-NIGERIA

Data analysis for Nigerian lightning dataset consists of over 123 million samples and six variables: date, time, latitude, longitude, lightning stroke with polarity and type, for 5 year plus. Python analysis, reverse geocoding, database and arc map arcgis. # BIG-DATA-LIGHTNING-ANALYSIS-FOR-NIGERIA Data analysis for Nigerian lightning dataset consists of over 123 million samples and six variables: date, time, latitude, longitude, lightning stroke with polarity and type, for 5 year plus. Python analysis, reverse geocoding, database and ArcGIS. The Python programming language and its Pandas library were used for data cleaning, analysis, and visualisation The reverse geocoding was used to generate the state and local government areas of Nigeria with respect to it longitude and latitude The ArcMap in ArcGIS software was used for the monthly geospatial plots of the lightning stroke densities