2022/4/2

Project Description

This project will demonstrate the plotly package’s practice and demonstrate with the datasets built within in R for description.

In this case, I have selected the air quality data (removing the NA values) to evaluate the comparison by months for wind level and Ozone level.

Data Cleaning & Arrangement for Air Quality

# Remove NA items for the data
air_clean <- na.omit(airquality)

# Convert the Month as factors to classify the setup
air_clean$Month <- as.factor(air_clean$Month)

Use Box Plot to demonstrate the Ozone level by Month

## [1] "2022-04-02 19:19:03"

Use Box Plot to demonstrate the wind level by Month

## [1] "週六 四月 02 19:19:03 2022"