G1-Group01 Datacleaning

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Proposal

Poster

Web Maps

Report

Data Cleaning


Due to some of files were not in the proper format for our analysis.

Thus, our team used R and tableau for our data cleaning and data Visualization. However, in this section, we will only share how we use the R code to "Geocode" and "data clean".

Geocode

Our group used R package "ggmap" and the function "geocode". And the coordinate it has generated will be base on projection 4326. Thus we need to export the file again to become projection 3414 for our further analysis. Requirement of using ggmap:

1. "ggmap" must be installed in your R studio
2. Must have google API in order to require information from google

Geocode.jpg


Data Cleaning with R

As mentioned above, our team used R to clean up data for our analysis. Thus, we use one of age group as example.
1.loading.jpg
2.data process.jpg
Output of data frames: a1/b1/c1/d1/e1, please refer to the pictures below

Outputa1.jpg
Data Frame: a1
Outputb1.jpg
Data Frame: b1
Outputc1.jpg
Data Frame: c1
Outputd1.jpg
Data Frame d1
Outpute1.1.jpg
Data Frame e1