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"markdown": "---\ntitle: \"R-tistry (Part 1)\"\nsubtitle: \"Using ggforce and geom_voronoi_tile() to generate Voronoi diagrams depicting the flags of the East African Community\"\nauthor: \"William Okech\"\ndate: \"2023-12-02\"\nimage: \"r_tistry.png\"\ncategories: [RStudio, R, Tutorial, Blog, R-tistry]\ntoc: true\nformat: \n html:\n code-fold: show\n code-overflow: wrap\n warning: false\n---\n\n\n# Introduction\n\nThe East African Community is a regional intergovernmental organization comprising eight (8) partner states, namely: Kenya, Tanzania, Uganda, Burundi, Rwanda, South Sudan, Democratic Republic of the Congo, and, most recently, Somalia. Kenya, Tanzania, and Uganda were the founding members in 1967 before the organization dissolved in 1977. The organization was re-established in the year 2000, and new members were accepted in subsequent years: Burundi and Rwanda (2009), South Sudan (2016), Democratic Republic of the Congo (2022), and Somalia (2023).\n\nIn this post, I will use ggforce and geom_voronoi_tile() to generate Voronoi diagrams depicting the flags of the East African Community.\n\nThis work is inspired by Albert Rapp's [blog post](https://albert-rapp.de/posts/ggplot2-tips/05_ggforce_examples/05_ggforce_examples), where he provides examples of the use of ggforce.\n\n# Section 1: Load all the required libraries\n\n\n::: {.cell}\n\n```{.r .cell-code}\nlibrary(tidyverse)\n#install.packages(\"ggforce\")\nlibrary(ggforce)\nlibrary (patchwork)\n```\n:::\n\n\n# Section 2: General equations for generating the voronoi plots\n\n\n::: {.cell}\n\n```{.r .cell-code}\nset.seed(23479) # set a random seed for pseudorandom number generator\nN <- 1000\nvoronoi_1 <- tibble(x = runif(N), y = runif(N)) %>% # create a dataset\n ggplot(aes(x, y)) + \n geom_voronoi_tile(aes(fill = y)) # generate the voronoi plot\n```\n:::\n\n\n# Section 3: Sample voronoi image\n\nGenerated by [Albert Rapp](https://albert-rapp.de/posts/ggplot2-tips/05_ggforce_examples/05_ggforce_examples)\n\n\n::: {.cell}\n\n```{.r .cell-code}\nvoronoi_1 +\n scale_fill_viridis_c(option = 'A') +\n theme_void() + \n theme(legend.position = 'none')\n```\n\n::: {.cell-output-display}\n{width=672}\n:::\n:::\n\n\nThe option in scale_fill_viridis_c() can be set between 'A' and 'H' and or it can be either \"magma\", \"inferno\", \"plasma\", \"viridis\", \"cividis\", \"rocket\", \"mako\", or \"turbo.\"\n\nThe [viridis scales](https://ggplot2.tidyverse.org/reference/scale_viridis.html#ref-examples) provide colour maps that are perceptually uniform in both colour and black-and-white. They are also designed to be perceived by viewers with common forms of colour blindness.\n\n# Section 4: Flags of the East African Community and Individual Countries\n\n## a) Kenya\n\n\n::: {.cell}\n\n```{.r .cell-code}\nken_1 <- voronoi_1 +\n scale_fill_gradientn(colours = c(\"#006600\", \"#FFFFFF\", \"#BB0000\", \"#FFFFFF\", \"#000000\")) +\n theme_void() + \n theme(legend.position = 'none',\n plot.title = element_text(size = 12, hjust = 0.5)) +\n labs(title = \"Kenya\")\nken_1\n```\n\n::: {.cell-output-display}\n{width=672}\n:::\n:::\n\n\n## b) Tanzania\n\n\n::: {.cell}\n\n```{.r .cell-code}\ntan_1 <- voronoi_1 +\n scale_fill_gradientn(colours = c(\"#00A3DD\", \"#FBD016\", \"#000000\", \"#FBD016\",\"#1EB53A\")) +\n theme_void() + \n theme(legend.position = 'none',\n plot.title = element_text(size = 12, hjust = 0.5)) +\n labs(title = \"Tanzania\")\ntan_1\n```\n\n::: {.cell-output-display}\n{width=672}\n:::\n:::\n\n\n## c) Uganda\n\n\n::: {.cell}\n\n```{.r .cell-code}\nuga_1 <- voronoi_1 +\n scale_fill_gradientn(colours = c(\"#D90000\", \"#FCDC04\", \"#000000\", \"#FFFFFF\", \"#D90000\", \"#FCDC04\", \"#000000\")) +\n theme_void() + \n theme(legend.position = 'none',\n plot.title = element_text(size = 12, hjust = 0.5)) +\n labs(title = \"Uganda\")\nuga_1\n```\n\n::: {.cell-output-display}\n{width=672}\n:::\n:::\n\n\n## d) Burundi\n\n\n::: {.cell}\n\n```{.r .cell-code}\nbur_1 <- voronoi_1 +\n scale_fill_gradientn(colours = c(\"#CE1126\", \"#1EB53A\", \"#FFFFFF\", \"#1EB53A\", \"#CE1126\")) +\n theme_void() + \n theme(legend.position = 'none',\n plot.title = element_text(size = 12, hjust = 0.5)) +\n labs(title = \"Burundi\")\nbur_1\n```\n\n::: {.cell-output-display}\n{width=672}\n:::\n:::\n\n\n## e) Rwanda\n\n\n::: {.cell}\n\n```{.r .cell-code}\nrwa_1 <- voronoi_1 +\n scale_fill_gradientn(colours = c(\"#20603D\", \"#FAD201\", \"#00A1DE\", \"#00A1DE\")) +\n theme_void() + \n theme(legend.position = 'none',\n plot.title = element_text(size = 12, hjust = 0.5)) +\n labs(title = \"Rwanda\")\nrwa_1\n```\n\n::: {.cell-output-display}\n{width=672}\n:::\n:::\n\n\n## f) South Sudan\n\n\n::: {.cell}\n\n```{.r .cell-code}\nssud_1 <- voronoi_1 +\n scale_fill_gradientn(colours = c(\"#078930\", \"#FFFFFF\", \"#DA121A\", \"#0F47AF\", \"#000000\")) +\n theme_void() + \n theme(legend.position = 'none',\n plot.title = element_text(size = 12, hjust = 0.5)) +\n labs(title = \"South Sudan\")\nssud_1\n```\n\n::: {.cell-output-display}\n{width=672}\n:::\n:::\n\n\n## g) Democratic Republic of the Congo\n\n\n::: {.cell}\n\n```{.r .cell-code}\ndrc_1 <- voronoi_1 +\n scale_fill_gradientn(colours = c(\"#007FFF\", \"#F7D518\", \"#CE1021\", \"#F7D518\", \"#007FFF\")) +\n theme_void() + \n theme(legend.position = 'none',\n plot.title = element_text(size = 12, hjust = 0.5)) +\n labs(title = \"Democratic Republic of Congo\")\ndrc_1\n```\n\n::: {.cell-output-display}\n{width=672}\n:::\n:::\n\n\n## h) Somalia\n\n\n::: {.cell}\n\n```{.r .cell-code}\nsom_1 <- voronoi_1 +\n scale_fill_gradientn(colours = c(\"#418FDE\", \"#FFFFFF\", \"#418FDE\")) +\n theme_void() + \n theme(legend.position = 'none',\n plot.title = element_text(size = 12, hjust = 0.5)) +\n labs(title = \"Somalia\")\nsom_1\n```\n\n::: {.cell-output-display}\n{width=672}\n:::\n:::\n\n\n## i) East African Community\n\n\n::: {.cell}\n\n```{.r .cell-code}\neac <- voronoi_1 +\n scale_fill_gradientn(colours = c(\"#418FDE\", \"#FFFFFF\", \"#D90000\", \"#006600\",\"#FBD016\", \"#006600\", \"#000000\", \"#FFFFFF\", \"#418FDE\")) +\n theme_void() + \n theme(legend.position = 'none',\n plot.title = element_text(size = 12, hjust = 0.5)) +\n labs(title = \"East African Community\")\neac\n```\n\n::: {.cell-output-display}\n{width=672}\n:::\n:::\n\n\n# Conclusion\n\nThe goal of this post was to demonstrate that one can use code to generate art. Here, the packages, ggplot2 and ggforce, available in R/RStudio, were used to generate Voronoi diagrams (depicting the flags of East Africa) with geom_voronoi_tile(). To compare the generated diagrams with the original flags look at the Flags of the World page on [Worldometer](https://www.worldometers.info/geography/flags-of-the-world/)\n\n# Assignment\n\nTry and generate your own Voronoi diagram (preferably the flag of your home country or country of residence), save with ggsave() using the correct dimensions and dpi, and the share on social media #aRt\n", | ||
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"markdown": "---\ntitle: \"R-tistry (Part 1)\"\nsubtitle: \"Using ggforce and geom_voronoi_tile() to generate Voronoi diagrams depicting the flags of the East African Community\"\nauthor: \"William Okech\"\ndate: \"2023-12-02\"\nimage: \"\"\ncategories: [RStudio, R, Tutorial, Blog, R-tistry]\ntoc: true\nformat: \n html:\n code-fold: show\n code-overflow: wrap\n warning: false\n---\n\n\n# Introduction\n\nThe East African Community is a regional intergovernmental organization comprising eight (8) partner states, namely: Kenya, Tanzania, Uganda, Burundi, Rwanda, South Sudan, Democratic Republic of the Congo, and, most recently, Somalia. Kenya, Tanzania, and Uganda were the founding members in 1967 before the organization dissolved in 1977. The organization was re-established in the year 2000, and new members were accepted in subsequent years: Burundi and Rwanda (2009), South Sudan (2016), Democratic Republic of the Congo (2022), and Somalia (2023).\n\nIn this post, I will use ggforce and geom_voronoi_tile() to generate Voronoi diagrams depicting the flags of the East African Community.\n\nThis work is inspired by Albert Rapp's [blog post](https://albert-rapp.de/posts/ggplot2-tips/05_ggforce_examples/05_ggforce_examples), where he provides examples of the use of ggforce.\n\n# Section 1: Load all the required libraries\n\n\n::: {.cell}\n\n```{.r .cell-code}\nlibrary(tidyverse)\n#install.packages(\"ggforce\")\nlibrary(ggforce)\nlibrary (patchwork)\n```\n:::\n\n\n# Section 2: General equations for generating the voronoi plots\n\n\n::: {.cell}\n\n```{.r .cell-code}\nset.seed(23479) # set a random seed for pseudorandom number generator\nN <- 1000\nvoronoi_1 <- tibble(x = runif(N), y = runif(N)) %>% # create a dataset\n ggplot(aes(x, y)) + \n geom_voronoi_tile(aes(fill = y)) # generate the voronoi plot\n```\n:::\n\n\n# Section 3: Sample voronoi image\n\nGenerated by [Albert Rapp](https://albert-rapp.de/posts/ggplot2-tips/05_ggforce_examples/05_ggforce_examples)\n\n\n::: {.cell}\n\n```{.r .cell-code}\nvoronoi_1 +\n scale_fill_viridis_c(option = 'A') +\n theme_void() + \n theme(legend.position = 'none')\n```\n\n::: {.cell-output-display}\n{width=672}\n:::\n:::\n\n\nThe option in scale_fill_viridis_c() can be set between 'A' and 'H' and or it can be either \"magma\", \"inferno\", \"plasma\", \"viridis\", \"cividis\", \"rocket\", \"mako\", or \"turbo.\"\n\nThe [viridis scales](https://ggplot2.tidyverse.org/reference/scale_viridis.html#ref-examples) provide colour maps that are perceptually uniform in both colour and black-and-white. They are also designed to be perceived by viewers with common forms of colour blindness.\n\n# Section 4: Flags of the East African Community and Individual Countries\n\n## a) Kenya\n\n\n::: {.cell}\n\n```{.r .cell-code}\nken_1 <- voronoi_1 +\n scale_fill_gradientn(colours = c(\"#006600\", \"#FFFFFF\", \"#BB0000\", \"#FFFFFF\", \"#000000\")) +\n theme_void() + \n theme(legend.position = 'none',\n plot.title = element_text(size = 12, hjust = 0.5)) +\n labs(title = \"Kenya\")\nken_1\n```\n\n::: {.cell-output-display}\n{width=672}\n:::\n:::\n\n\n## b) Tanzania\n\n\n::: {.cell}\n\n```{.r .cell-code}\ntan_1 <- voronoi_1 +\n scale_fill_gradientn(colours = c(\"#00A3DD\", \"#FBD016\", \"#000000\", \"#FBD016\",\"#1EB53A\")) +\n theme_void() + \n theme(legend.position = 'none',\n plot.title = element_text(size = 12, hjust = 0.5)) +\n labs(title = \"Tanzania\")\ntan_1\n```\n\n::: {.cell-output-display}\n{width=672}\n:::\n:::\n\n\n## c) Uganda\n\n\n::: {.cell}\n\n```{.r .cell-code}\nuga_1 <- voronoi_1 +\n scale_fill_gradientn(colours = c(\"#D90000\", \"#FCDC04\", \"#000000\", \"#FFFFFF\", \"#D90000\", \"#FCDC04\", \"#000000\")) +\n theme_void() + \n theme(legend.position = 'none',\n plot.title = element_text(size = 12, hjust = 0.5)) +\n labs(title = \"Uganda\")\nuga_1\n```\n\n::: {.cell-output-display}\n{width=672}\n:::\n:::\n\n\n## d) Burundi\n\n\n::: {.cell}\n\n```{.r .cell-code}\nbur_1 <- voronoi_1 +\n scale_fill_gradientn(colours = c(\"#CE1126\", \"#1EB53A\", \"#FFFFFF\", \"#1EB53A\", \"#CE1126\")) +\n theme_void() + \n theme(legend.position = 'none',\n plot.title = element_text(size = 12, hjust = 0.5)) +\n labs(title = \"Burundi\")\nbur_1\n```\n\n::: {.cell-output-display}\n{width=672}\n:::\n:::\n\n\n## e) Rwanda\n\n\n::: {.cell}\n\n```{.r .cell-code}\nrwa_1 <- voronoi_1 +\n scale_fill_gradientn(colours = c(\"#20603D\", \"#FAD201\", \"#00A1DE\", \"#00A1DE\")) +\n theme_void() + \n theme(legend.position = 'none',\n plot.title = element_text(size = 12, hjust = 0.5)) +\n labs(title = \"Rwanda\")\nrwa_1\n```\n\n::: {.cell-output-display}\n{width=672}\n:::\n:::\n\n\n## f) South Sudan\n\n\n::: {.cell}\n\n```{.r .cell-code}\nssud_1 <- voronoi_1 +\n scale_fill_gradientn(colours = c(\"#078930\", \"#FFFFFF\", \"#DA121A\", \"#0F47AF\", \"#000000\")) +\n theme_void() + \n theme(legend.position = 'none',\n plot.title = element_text(size = 12, hjust = 0.5)) +\n labs(title = \"South Sudan\")\nssud_1\n```\n\n::: {.cell-output-display}\n{width=672}\n:::\n:::\n\n\n## g) Democratic Republic of the Congo\n\n\n::: {.cell}\n\n```{.r .cell-code}\ndrc_1 <- voronoi_1 +\n scale_fill_gradientn(colours = c(\"#007FFF\", \"#F7D518\", \"#CE1021\", \"#F7D518\", \"#007FFF\")) +\n theme_void() + \n theme(legend.position = 'none',\n plot.title = element_text(size = 12, hjust = 0.5)) +\n labs(title = \"Democratic Republic of Congo\")\ndrc_1\n```\n\n::: {.cell-output-display}\n{width=672}\n:::\n:::\n\n\n## h) Somalia\n\n\n::: {.cell}\n\n```{.r .cell-code}\nsom_1 <- voronoi_1 +\n scale_fill_gradientn(colours = c(\"#418FDE\", \"#FFFFFF\", \"#418FDE\")) +\n theme_void() + \n theme(legend.position = 'none',\n plot.title = element_text(size = 12, hjust = 0.5)) +\n labs(title = \"Somalia\")\nsom_1\n```\n\n::: {.cell-output-display}\n{width=672}\n:::\n:::\n\n\n## i) East African Community\n\n\n::: {.cell}\n\n```{.r .cell-code}\neac <- voronoi_1 +\n scale_fill_gradientn(colours = c(\"#418FDE\", \"#FFFFFF\", \"#D90000\", \"#006600\",\"#FBD016\", \"#006600\", \"#000000\", \"#FFFFFF\", \"#418FDE\")) +\n theme_void() + \n theme(legend.position = 'none',\n plot.title = element_text(size = 12, hjust = 0.5)) +\n labs(title = \"East African Community\")\neac\n```\n\n::: {.cell-output-display}\n{width=672}\n:::\n:::\n\n\n# Conclusion\n\nThe goal of this post was to demonstrate that one can use code to generate art. Here, the packages, ggplot2 and ggforce, available in R/RStudio, were used to generate Voronoi diagrams (depicting the flags of East Africa) with geom_voronoi_tile(). To compare the generated diagrams with the original flags look at the Flags of the World page on [Worldometer](https://www.worldometers.info/geography/flags-of-the-world/)\n\n# Assignment\n\nTry and generate your own Voronoi diagram (preferably the flag of your home country or country of residence), save with ggsave() using the correct dimensions and dpi, and the share on social media #aRt\n", | ||
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