Fix R CMD checks and update README
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33 changed files with 498 additions and 368 deletions
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---
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title: "Bar charts"
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output: rmarkdown::html_vignette
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vignette: >
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%\VignetteIndexEntry{Bar charts}
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%\VignetteEngine{knitr::rmarkdown}
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%\VignetteEncoding{UTF-8}
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---
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```{r, include = FALSE}
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knitr::opts_chunk$set(
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collapse = TRUE,
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comment = "#>"
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)
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```
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Let's start by importing some data and running some data wrangling:
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```{r data-import}
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library(rio)
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library(data.table)
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dat <- import("https://raw.githubusercontent.com/holtzy/data_to_viz/master/Example_dataset/11_SevCatOneNumNestedOneObsPerGroup.csv", data.table = TRUE)
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setDT(dat)
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# in all character columns, tranform empty string to NA
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vars_chr <- colnames(dat)[sapply(dat, is.character)]
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dat[, (vars_chr) := lapply(.SD, function(x) fifelse(x == "", NA_character_, x)), .SDcols = vars_chr]
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# in value, if -1 replace with NA
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dat[, value := fifelse(value == -1, NA_real_, value)]
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# remove lines where value is NA (in place)
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dat <- dat[!is.na(value), ]
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# kepp only top 20 values and divide data to get million units
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df <- dat[
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!is.na(value), ][
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order(value, decreasing = TRUE), ][
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1:20, ][
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, value := value/1000000, ][
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, key := ifelse(key == "Democratic Republic of the Congo", "DRC", key)]
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```
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Now, let's see the defaults for a horizontal bar diagram without any grouping and ordering values from highest to smallest:
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```{r hbar}
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library(visualizeR)
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hbar(
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df,
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x = "key",
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y = "value",
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facet = "region",
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order = "y",
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title = "Top 20 countries by population (in Million)"
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)
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```
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Moving on to a vertical bar chart, with country facets and groups
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