etc5521-2020 / assignment-1-goanna

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ETC5521 Assignment 2

Team name: goanna

Team members:

Tips for reproduction

Install git lfs

Our report data contains large files. In order to reproduce the report normally, please install Git LFS first.

Once you finished installation, you can use command git lfs install again to check if you install it or not. If the output is Git LFS initialized, which means you have install it successfully.

Data cleaning code

If you are interested in data cleansing process, you can find all data cleaning code in data-cleaning code script.R.

Software

Rstudio

R packages

library(readr)

library(tidyverse)

library(here)

library(knitr)

library(lubridate)

library(ggplot2)

library(GGally)

library(dygraphs)

library(xts)

library(kableExtra)

library(leaflet)

library(hrbrthemes)

library(dplyr)

Licence

Our project under the license(CC0 2.0 Universal).

Steps

  1. Write your data description under the header Data description in index.Rmd. A data description should tell the reader the source of the data, and detail the structure of the data, including variables, time frame of collection, collection methods.

  2. Brainstorm what questions would be possible to answer with this data (and only this data). Articulate the primary question, and then three secondary questions.

  3. Finish your report, which should be structured as follows

    • Introduction and motivation: Give the bigger picture of the data, and inspire the reader to learn more about the problem by reading your analysis.
    • Data description
    • Analysis and Findings, which includes at least one plot or numerical summary for each of your questions, that helps the reader arrive at an answer. You should also write paragraphs describing the methods, summaries and findings.
    • References
  4. Provide peer feedback on assigned report. You will be randomly assigned another team's report, and be expected to reproduce their analysis, and provide constructive input on the analysis. The purpose of peer feedback is to learn how other analysts approach problems, and to help improve other analysts analyses.

Tasks