eq_clean_data: Function to clean National Oceanic and Atmospheric...

In itjmt96/Earthquakes: Plot and visualize National Oceanic and Atmospheric Administration's (NOAA) - Significant Earthquake Database

Description

This function uses dplyr, lubridate, tidyr, and tools packages. 1. Read file Takes a TAB delimited file as an input filename parameter. 2. Create DATE field Filters out NA or 0 YEAR field data, NA MONTH field data, NA DAY field data. Combines YEAR, MONTH and DAY fields from the file and converts it into a date field and drops NA dates. 3. LATITUDE and LONGITUDE fields data Mutates LATITUDE and LONGITUDE fields data to numeric. 4. LOCATION_NAME field data Cleans LOCATION_NAME field data by stripping of the country name, extra whitespaces. Cleaned LOCATION_NAME field data has city name or locaton names in the country. Converts cleaned LOCATION_NAME field data to toTitleCase. 5. EQ_PRIMARY field data Mutates EQ_PRIMARY field data to numeric.

Usage

eq_clean_data(filename)

Arguments

filename

A filename as input string.

Value

File data is read into a dataframe object with clean data in DATE, LATITUDE, LONGITUDE and LOCATION_NAME fields.

Examples

## Not run: 
eq_clean_data("signif.txt")
eq_clean_data(filename="signif.txt")

## End(Not run)

itjmt96/Earthquakes documentation built on May 18, 2019, 5:52 a.m.