Describing the similarities and differences between global temperature trends, and temperature trends in the closest big city to where I live, San Jose and my hometowns, Los Angeles and Taipei.
This project includes the following content:
- Purpose
- Tool and Methods
- Data
- Analysis
- Results
The project is using SQL and RMarkdown. The packages in this project include readr, dplyr and ggplot and caret.
- global.csv
- cities.csv (including San Jose, Los Angeles, and San Francisco)
- tpi.csv
The project is using moving average for creating figures and drawing the conclusion. In statistics, a moving average is a calculation to analyze data points by creating a series of averages of different subsets of the full dataset. A moving average is commonly used with time series data to smooth out short-term fluctuations and highlight longer-term trends of cycles.