The goal of c2d is to host code for loading data used in creds2.
Fun example in Python to show reproducible code:
import numpy as np
x = [1, 2, 4, 9]
y = [2, 3, 5, 6]
# import matplotlib
z = np.add(x, y)
print(z)
#> [ 3 5 9 15]
We’ll use the following packages. Make sure you’ve installed them before proceeding, e.g. with the following code:
pkgs = c(
"DiagrammeR",
"tidyverse",
"tabplot"
)
install.packages(pkgs)
The plot below, generated using reproducible code stored in the script
data-flow-diag.R
, is a data flow diagram
(DFD). We will modify
this as the project evolve as we clarify the work to be done.
source("data-flow-diag.R")
render_graph(g, layout = "tree")
library(tidyverse)
d = read_csv("all_cluster_variables.csv")
tabplot::tableplot(d[2:10], sortCol = "Income")
tabplot::tableplot(d[11:18])
tabplot::tableplot(d[19:30])
tabplot::tableplot(d[31:43])
tabplot::tableplot(d[44:55])
References can be found in the ‘creds2’ folder of the energy-and-transport Zotero group: https://www.zotero.org/groups/418217/energy-and-transport/items/collectionKey/AS8RTJ2X
Get all the references by signing-in to Zotero, downloading the app, and syncing it on your computer.
Alternatively, anyone can download the latest bib file from this as follows:
refs = RefManageR::ReadZotero(group = "418217", .params = list(collection = "AS8RTJ2X", limit = 100))
#> Ignoring entry 'chatterton_financial_2016-1' (line77) because:
#> A bibentry of bibtype 'InProceedings' has to specify the field: editor
RefManageR::WriteBib(refs, "references.bib")
#> Writing 6 Bibtex entries ...
#> OK
#> Results written to file 'references.bib'
The citations are also saved in the GitHub folder.