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#dslc β€” Public Fediverse posts

Live and recent posts from across the Fediverse tagged #dslc, aggregated by home.social.

  1. This week's #TidyTuesday data is all about seismic activity at Mount Vesuvius! πŸŒ‹

    πŸ“Š Two heatmaps showing weekly and annual patterns
    🩹 Joined with {patchwork}
    🎨 Volcano inspired colour palette

    Code: github.com/nrennie/tidytuesday

    #DataViz #RStats #DSLC #ggplot2

  2. This week's data is all about seismic activity at Mount Vesuvius! πŸŒ‹

    πŸ“Š Two heatmaps showing weekly and annual patterns
    🩹 Joined with {patchwork}
    🎨 Volcano inspired colour palette

    Code: github.com/nrennie/tidytuesday

  3. This week's #TidyTuesday data is all about seismic activity at Mount Vesuvius! πŸŒ‹

    πŸ“Š Two heatmaps showing weekly and annual patterns
    🩹 Joined with {patchwork}
    🎨 Volcano inspired colour palette

    Code: github.com/nrennie/tidytuesday

    #DataViz #RStats #DSLC #ggplot2

  4. This week's #TidyTuesday data is all about seismic activity at Mount Vesuvius! πŸŒ‹

    πŸ“Š Two heatmaps showing weekly and annual patterns
    🩹 Joined with {patchwork}
    🎨 Volcano inspired colour palette

    Code: github.com/nrennie/tidytuesday

    #DataViz #RStats #DSLC #ggplot2

  5. This week's #TidyTuesday data is all about seismic activity at Mount Vesuvius! πŸŒ‹

    πŸ“Š Two heatmaps showing weekly and annual patterns
    🩹 Joined with {patchwork}
    🎨 Volcano inspired colour palette

    Code: github.com/nrennie/tidytuesday

    #DataViz #RStats #DSLC #ggplot2

  6. This week's #TidyTuesday data looked at animals at Long Beach animal rescue center and I focused in on the patterns of when owners surrender their dogs πŸ•

    🎯 Aim: show higher resolution (daily) data alongside aggregate counts
    ❓ Why: view temporal patterns on different scales at the same time
    πŸ“Š How: lollipop chart + background heatmap

    Code: github.com/nrennie/tidytuesday

    #DataViz #RStats #DSLC #ggplot2

  7. This week's data looked at animals at Long Beach animal rescue center and I focused in on the patterns of when owners surrender their dogs πŸ•

    🎯 Aim: show higher resolution (daily) data alongside aggregate counts
    ❓ Why: view temporal patterns on different scales at the same time
    πŸ“Š How: lollipop chart + background heatmap

    Code: github.com/nrennie/tidytuesday

  8. This week's #TidyTuesday data looked at animals at Long Beach animal rescue center and I focused in on the patterns of when owners surrender their dogs πŸ•

    🎯 Aim: show higher resolution (daily) data alongside aggregate counts
    ❓ Why: view temporal patterns on different scales at the same time
    πŸ“Š How: lollipop chart + background heatmap

    Code: github.com/nrennie/tidytuesday

    #DataViz #RStats #DSLC #ggplot2

  9. This week's #TidyTuesday data looked at animals at Long Beach animal rescue center and I focused in on the patterns of when owners surrender their dogs πŸ•

    🎯 Aim: show higher resolution (daily) data alongside aggregate counts
    ❓ Why: view temporal patterns on different scales at the same time
    πŸ“Š How: lollipop chart + background heatmap

    Code: github.com/nrennie/tidytuesday

    #DataViz #RStats #DSLC #ggplot2

  10. This week's #TidyTuesday data looked at animals at Long Beach animal rescue center and I focused in on the patterns of when owners surrender their dogs πŸ•

    🎯 Aim: show higher resolution (daily) data alongside aggregate counts
    ❓ Why: view temporal patterns on different scales at the same time
    πŸ“Š How: lollipop chart + background heatmap

    Code: github.com/nrennie/tidytuesday

    #DataViz #RStats #DSLC #ggplot2

  11. I finally got around to finishing off this project which:

    🦺 scrapes Shakespeare poems and plays using {rvest}
    πŸ“‚ then cleans them up and exports to CSV
    πŸ“Š to make 195 datasets ready to analyse!

    Link: github.com/nrennie/shakespeare

    Previously used as a #TidyTuesday dataset: github.com/rfordatascience/tid

    #RStats #DataScience #DSLC

  12. I finally got around to finishing off this project which:

    🦺 scrapes Shakespeare poems and plays using {rvest}
    πŸ“‚ then cleans them up and exports to CSV
    πŸ“Š to make 195 datasets ready to analyse!

    Link: github.com/nrennie/shakespeare

    Previously used as a dataset: github.com/rfordatascience/tid

  13. I finally got around to finishing off this project which:

    🦺 scrapes Shakespeare poems and plays using {rvest}
    πŸ“‚ then cleans them up and exports to CSV
    πŸ“Š to make 195 datasets ready to analyse!

    Link: github.com/nrennie/shakespeare

    Previously used as a #TidyTuesday dataset: github.com/rfordatascience/tid

    #RStats #DataScience #DSLC

  14. I finally got around to finishing off this project which:

    🦺 scrapes Shakespeare poems and plays using {rvest}
    πŸ“‚ then cleans them up and exports to CSV
    πŸ“Š to make 195 datasets ready to analyse!

    Link: github.com/nrennie/shakespeare

    Previously used as a #TidyTuesday dataset: github.com/rfordatascience/tid

    #RStats #DataScience #DSLC

  15. I finally got around to finishing off this project which:

    🦺 scrapes Shakespeare poems and plays using {rvest}
    πŸ“‚ then cleans them up and exports to CSV
    πŸ“Š to make 195 datasets ready to analyse!

    Link: github.com/nrennie/shakespeare

    Previously used as a #TidyTuesday dataset: github.com/rfordatascience/tid

    #RStats #DataScience #DSLC

  16. It's time for #TidyTuesday again! We're looking at data on encounters with US Customs and Border Patrol (via Tony Galvan) πŸ“Š

    Code: github.com/nrennie/tidytuesday

    #DSLC #RStats #DataViz #ggplot2

  17. It's time for again! We're looking at data on encounters with US Customs and Border Patrol (via Tony Galvan) πŸ“Š

    Code: github.com/nrennie/tidytuesday

  18. It's time for #TidyTuesday again! We're looking at data on encounters with US Customs and Border Patrol (via Tony Galvan) πŸ“Š

    Code: github.com/nrennie/tidytuesday

    #DSLC #RStats #DataViz #ggplot2

  19. It's time for #TidyTuesday again! We're looking at data on encounters with US Customs and Border Patrol (via Tony Galvan) πŸ“Š

    Code: github.com/nrennie/tidytuesday

    #DSLC #RStats #DataViz #ggplot2

  20. It's time for #TidyTuesday again! We're looking at data on encounters with US Customs and Border Patrol (via Tony Galvan) πŸ“Š

    Code: github.com/nrennie/tidytuesday

    #DSLC #RStats #DataViz #ggplot2

  21. We're looking at Bob's Burgers data for #TidyTuesday this week! πŸ“Š Who knew the world needed a raincloud plot where it's raining hamburgers?

    🌧️ Raincloud plot built from scratch with {ggplot2}
    πŸ” Hamburger icons from {emoji}
    πŸ„ Logo image added with {cowplot}

    Data: @sponce1

    Code: github.com/nrennie/tidytuesday

    #RStats #DSLC #DataViz #ggplot2

  22. We're looking at Bob's Burgers data for this week! πŸ“Š Who knew the world needed a raincloud plot where it's raining hamburgers?

    🌧️ Raincloud plot built from scratch with {ggplot2}
    πŸ” Hamburger icons from {emoji}
    πŸ„ Logo image added with {cowplot}

    Data: @sponce1

    Code: github.com/nrennie/tidytuesday

  23. We're looking at Bob's Burgers data for #TidyTuesday this week! πŸ“Š Who knew the world needed a raincloud plot where it's raining hamburgers?

    🌧️ Raincloud plot built from scratch with {ggplot2}
    πŸ” Hamburger icons from {emoji}
    πŸ„ Logo image added with {cowplot}

    Data: @sponce1

    Code: github.com/nrennie/tidytuesday

    #RStats #DSLC #DataViz #ggplot2

  24. We're looking at Bob's Burgers data for #TidyTuesday this week! πŸ“Š Who knew the world needed a raincloud plot where it's raining hamburgers?

    🌧️ Raincloud plot built from scratch with {ggplot2}
    πŸ” Hamburger icons from {emoji}
    πŸ„ Logo image added with {cowplot}

    Data: @sponce1

    Code: github.com/nrennie/tidytuesday

    #RStats #DSLC #DataViz #ggplot2

  25. We're looking at Bob's Burgers data for #TidyTuesday this week! πŸ“Š Who knew the world needed a raincloud plot where it's raining hamburgers?

    🌧️ Raincloud plot built from scratch with {ggplot2}
    πŸ” Hamburger icons from {emoji}
    πŸ„ Logo image added with {cowplot}

    Data: @sponce1

    Code: github.com/nrennie/tidytuesday

    #RStats #DSLC #DataViz #ggplot2

  26. It's time for #TidyTuesday (and an early entry for Day 6 (Raster) of the #30DayMapChallenge)!

    We're looking at democracies and dictatorships across the world between 1950 and 2020

    🌎 {geofacet} for world map grid
    πŸ“Š `geom_raster()` from #ggplot2 to make heatmaps
    🎨 Colours from colorbrewer2

    Code: github.com/nrennie/tidytuesday

    #RStats #DataViz #DSLC

  27. It's time for (and an early entry for Day 6 (Raster) of the )!

    We're looking at democracies and dictatorships across the world between 1950 and 2020

    🌎 {geofacet} for world map grid
    πŸ“Š `geom_raster()` from to make heatmaps
    🎨 Colours from colorbrewer2

    Code: github.com/nrennie/tidytuesday

  28. It's time for #TidyTuesday (and an early entry for Day 6 (Raster) of the #30DayMapChallenge)!

    We're looking at democracies and dictatorships across the world between 1950 and 2020

    🌎 {geofacet} for world map grid
    πŸ“Š `geom_raster()` from #ggplot2 to make heatmaps
    🎨 Colours from colorbrewer2

    Code: github.com/nrennie/tidytuesday

    #RStats #DataViz #DSLC

  29. It's time for #TidyTuesday (and an early entry for Day 6 (Raster) of the #30DayMapChallenge)!

    We're looking at democracies and dictatorships across the world between 1950 and 2020

    🌎 {geofacet} for world map grid
    πŸ“Š `geom_raster()` from #ggplot2 to make heatmaps
    🎨 Colours from colorbrewer2

    Code: github.com/nrennie/tidytuesday

    #RStats #DataViz #DSLC

  30. It's time for #TidyTuesday (and an early entry for Day 6 (Raster) of the #30DayMapChallenge)!

    We're looking at democracies and dictatorships across the world between 1950 and 2020

    🌎 {geofacet} for world map grid
    πŸ“Š `geom_raster()` from #ggplot2 to make heatmaps
    🎨 Colours from colorbrewer2

    Code: github.com/nrennie/tidytuesday

    #RStats #DataViz #DSLC

  31. We're looking at rating of Power Rangers episodes for #TidyTuesday this week!

    πŸŒ… Horizon plot made using {ggHoriPlot}
    🎨 Colours from colorbrewer
    ✍️ Text formatted with {ggtext}

    Code: github.com/nrennie/tidytuesday

    #RStats #DataViz #ggplot2 #DSLC

  32. We're looking at rating of Power Rangers episodes for this week!

    πŸŒ… Horizon plot made using {ggHoriPlot}
    🎨 Colours from colorbrewer
    ✍️ Text formatted with {ggtext}

    Code: github.com/nrennie/tidytuesday

  33. We're looking at rating of Power Rangers episodes for #TidyTuesday this week!

    πŸŒ… Horizon plot made using {ggHoriPlot}
    🎨 Colours from colorbrewer
    ✍️ Text formatted with {ggtext}

    Code: github.com/nrennie/tidytuesday

    #RStats #DataViz #ggplot2 #DSLC

  34. We're looking at rating of Power Rangers episodes for #TidyTuesday this week!

    πŸŒ… Horizon plot made using {ggHoriPlot}
    🎨 Colours from colorbrewer
    ✍️ Text formatted with {ggtext}

    Code: github.com/nrennie/tidytuesday

    #RStats #DataViz #ggplot2 #DSLC

  35. We're looking at rating of Power Rangers episodes for #TidyTuesday this week!

    πŸŒ… Horizon plot made using {ggHoriPlot}
    🎨 Colours from colorbrewer
    ✍️ Text formatted with {ggtext}

    Code: github.com/nrennie/tidytuesday

    #RStats #DataViz #ggplot2 #DSLC

  36. We're looking at World's Fairs data for #TidyTuesday this week!

    πŸŒ€ Plotted long time series data in a spiral using {spiralize}
    πŸ“· Combined with text using {ggplot2} and {ggimage}
    πŸ“Š Coloured text and icons added with {ggtext}

    Code: github.com/nrennie/tidytuesday

    #RStats #DSLC #DataViz #ggplot2

  37. We're looking at World's Fairs data for this week!

    πŸŒ€ Plotted long time series data in a spiral using {spiralize}
    πŸ“· Combined with text using {ggplot2} and {ggimage}
    πŸ“Š Coloured text and icons added with {ggtext}

    Code: github.com/nrennie/tidytuesday

  38. We're looking at World's Fairs data for #TidyTuesday this week!

    πŸŒ€ Plotted long time series data in a spiral using {spiralize}
    πŸ“· Combined with text using {ggplot2} and {ggimage}
    πŸ“Š Coloured text and icons added with {ggtext}

    Code: github.com/nrennie/tidytuesday

    #RStats #DSLC #DataViz #ggplot2

  39. We're looking at World's Fairs data for #TidyTuesday this week!

    πŸŒ€ Plotted long time series data in a spiral using {spiralize}
    πŸ“· Combined with text using {ggplot2} and {ggimage}
    πŸ“Š Coloured text and icons added with {ggtext}

    Code: github.com/nrennie/tidytuesday

    #RStats #DSLC #DataViz #ggplot2

  40. We're looking at World's Fairs data for #TidyTuesday this week!

    πŸŒ€ Plotted long time series data in a spiral using {spiralize}
    πŸ“· Combined with text using {ggplot2} and {ggimage}
    πŸ“Š Coloured text and icons added with {ggtext}

    Code: github.com/nrennie/tidytuesday

    #RStats #DSLC #DataViz #ggplot2

  41. A (very topical) chart for #TidyTuesday this week - showing the number of medals won by athletes from different continents since the Summer Olympics began!

    πŸ“Š Chart made with {ggsankey}
    🎨 Colours based on Olympic rings
    ✍️ Fonts from Google Fonts

    Code: github.com/nrennie/tidytuesday

    #RStats #ggplot2 #DataViz #DSLC

  42. A (very topical) chart for this week - showing the number of medals won by athletes from different continents since the Summer Olympics began!

    πŸ“Š Chart made with {ggsankey}
    🎨 Colours based on Olympic rings
    ✍️ Fonts from Google Fonts

    Code: github.com/nrennie/tidytuesday

  43. A (very topical) chart for #TidyTuesday this week - showing the number of medals won by athletes from different continents since the Summer Olympics began!

    πŸ“Š Chart made with {ggsankey}
    🎨 Colours based on Olympic rings
    ✍️ Fonts from Google Fonts

    Code: github.com/nrennie/tidytuesday

    #RStats #ggplot2 #DataViz #DSLC

  44. A (very topical) chart for #TidyTuesday this week - showing the number of medals won by athletes from different continents since the Summer Olympics began!

    πŸ“Š Chart made with {ggsankey}
    🎨 Colours based on Olympic rings
    ✍️ Fonts from Google Fonts

    Code: github.com/nrennie/tidytuesday

    #RStats #ggplot2 #DataViz #DSLC

  45. A (very topical) chart for #TidyTuesday this week - showing the number of medals won by athletes from different continents since the Summer Olympics began!

    πŸ“Š Chart made with {ggsankey}
    🎨 Colours based on Olympic rings
    ✍️ Fonts from Google Fonts

    Code: github.com/nrennie/tidytuesday

    #RStats #ggplot2 #DataViz #DSLC

  46. For #TidyTuesday this week, I decided to take the opportunity to create an example of using my {ggtextcircle} package!

    β­• Visualising names of contestants on (partial) circle with {ggtextcircle}
    πŸ“· Added the logo with {ggimage}
    πŸ“Š Coloured text in subtitle added with {ggtext}

    Code: github.com/nrennie/tidytuesday

    #RStats #DataViz #ggplot2 #DSLC

  47. For this week, I decided to take the opportunity to create an example of using my {ggtextcircle} package!

    β­• Visualising names of contestants on (partial) circle with {ggtextcircle}
    πŸ“· Added the logo with {ggimage}
    πŸ“Š Coloured text in subtitle added with {ggtext}

    Code: github.com/nrennie/tidytuesday

  48. For #TidyTuesday this week, I decided to take the opportunity to create an example of using my {ggtextcircle} package!

    β­• Visualising names of contestants on (partial) circle with {ggtextcircle}
    πŸ“· Added the logo with {ggimage}
    πŸ“Š Coloured text in subtitle added with {ggtext}

    Code: github.com/nrennie/tidytuesday

    #RStats #DataViz #ggplot2 #DSLC

  49. For #TidyTuesday this week, I decided to take the opportunity to create an example of using my {ggtextcircle} package!

    β­• Visualising names of contestants on (partial) circle with {ggtextcircle}
    πŸ“· Added the logo with {ggimage}
    πŸ“Š Coloured text in subtitle added with {ggtext}

    Code: github.com/nrennie/tidytuesday

    #RStats #DataViz #ggplot2 #DSLC