View allAll Photos Tagged ggplot2

Mapping migrant stock using 2013 UN data

ggplot2 image: geom_scatter()

ggplot2 image: geom_scatter() + labs()

Selected world cities where warm-season grasses are usually grown, plotted by mean annual climatological data. These data are from the climatological normal tables on the Hong Kong Observatory website (http://www.hko.gov.hk/) and the bubble charts were created using the ggplot2 package in R (http://had.co.nz/ggplot2/).

Chart showing months of life lost due to alcohol over time each point is the rolling 3 year average for which I have taken the midpoint (ie. 2002 represents 2001-2003).

 

Darker points represent more months of life lost.

 

Data from data.london.gov.uk

Selected world cities where warm-season grasses are usually grown, plotted by average climatological data for September. These data are from the climatological normal tables on the Hong Kong Observatory website (http://www.hko.gov.hk/) and the bubble charts were created using the ggplot2 package in R (http://had.co.nz/ggplot2/).

Selected world cities where warm-season grasses are usually grown, plotted by average climatological data for August. These data are from the climatological normal tables on the Hong Kong Observatory website (http://www.hko.gov.hk/) and the bubble charts were created using the ggplot2 package in R (http://had.co.nz/ggplot2/).

Selected world cities where warm-season grasses are usually grown, plotted by average climatological data for July. These data are from the climatological normal tables on the Hong Kong Observatory website (http://www.hko.gov.hk/) and the bubble charts were created using the ggplot2 package in R (http://had.co.nz/ggplot2/).

Selected world cities where warm-season grasses are usually grown, plotted by average climatological data for October. These data are from the climatological normal tables on the Hong Kong Observatory website (http://www.hko.gov.hk/) and the bubble charts were created using the ggplot2 package in R (http://had.co.nz/ggplot2/).

Selected world cities where warm-season grasses are usually grown, plotted by average climatological data for December. These data are from the climatological normal tables on the Hong Kong Observatory website (http://www.hko.gov.hk/) and the bubble charts were created using the ggplot2 package in R (http://had.co.nz/ggplot2/).

Selected world cities where warm-season grasses are usually grown, plotted by average climatological data for November. These data are from the climatological normal tables on the Hong Kong Observatory website (http://www.hko.gov.hk/) and the bubble charts were created using the ggplot2 package in R (http://had.co.nz/ggplot2/).

Adelaide bus, train and tram network mapped using GTFS data

Immigration by London Borough from top 20 countries (based on total number of immigrants into London). Needs titling up and tidying of legend (intervals based on log of immigration count).

 

Data from data.london.gov.uk/datafiles/demographics/nino-registrati...

 

Built using ggplot2 and reshape.

 

自炊したggplot2の本に著者が指でサインしてくれた(iPadのGoodReader)

Adelaide public transit network from GTFS data using R

Selected world cities where warm-season grasses are usually grown, plotted by average climatological data for May. These data are from the climatological normal tables on the Hong Kong Observatory website (http://www.hko.gov.hk/) and the bubble charts were created using the ggplot2 package in R (http://had.co.nz/ggplot2/).

ggplot2 image: geom_scatter() and stat_function()

ggplot2 image: geom_density()

ggplot2 image: geom_sacatter()

ggplot2 image: geom_histogram()

The range of 230 different camming devices.

 

Data was collected from manufacturers websites 2015-12-19.

pink-windows-purple-other-blue-macos-green-linux-2020-10-20-2020-10-20-firefox-desktop-all-locales

 

colophon:

github.com/rtanglao/rt-r-ggplot2-ruby-experiments/blob/ma...

 

for h in {0..23} do Rscript ../hourly-ff-question-barcode.R 2020 10 20 $h done

Selected world cities where warm-season grasses are usually grown, plotted by average climatological data for June. These data are from the climatological normal tables on the Hong Kong Observatory website (http://www.hko.gov.hk/) and the bubble charts were created using the ggplot2 package in R (http://had.co.nz/ggplot2/).

Selected world cities where warm-season grasses are usually grown, plotted by average climatological data for January. These data are from the climatological normal tables on the Hong Kong Observatory website (http://www.hko.gov.hk/) and the bubble charts were created using the ggplot2 package in R (http://had.co.nz/ggplot2/).

a scatterplot of tweets vs followers for accounts that follow @asianturfgrass. Plot made using ggplot2

Selected world cities where warm-season grasses are usually grown, plotted by average climatological data for April. These data are from the climatological normal tables on the Hong Kong Observatory website (http://www.hko.gov.hk/) and the bubble charts were created using the ggplot2 package in R (http://had.co.nz/ggplot2/).

Selected world cities where warm-season grasses are usually grown, plotted by mean annual climatological data. In this plot, the minimum value on both the x- and the y-axis is set to 0. These data are from the climatological normal tables on the Hong Kong Observatory website (http://www.hko.gov.hk/) and the bubble charts were created using the ggplot2 package in R (http://had.co.nz/ggplot2/).

Box-and-whisker plot. X grouping is winning party. Y axis is percentage of votes cast for that party in its winning seats

 

Only two parties - SNP and Conservative - had a median above 50% of the electorate. Lib Dems, even when they won, scraped by on a support of less than 40%. Note the larger range and outliers in Labour support.

 

Done in R with ggplot2

Selected world cities where warm-season grasses are usually grown, plotted by average climatological data for March. These data are from the climatological normal tables on the Hong Kong Observatory website (http://www.hko.gov.hk/) and the bubble charts were created using the ggplot2 package in R (http://had.co.nz/ggplot2/).

Selected world cities where warm-season grasses are usually grown, plotted by average climatological data for February. These data are from the climatological normal tables on the Hong Kong Observatory website (http://www.hko.gov.hk/) and the bubble charts were created using the ggplot2 package in R (http://had.co.nz/ggplot2/).

github.com/rtanglao/rt-r-ggplot2-ruby-experiments/blob/ma...

now with better labelling :-)

used the gglabel package to better place labels

for h in {0..23} do

Rscript ../sqlite-logo-text-hourly-ff-question-barcode.R 2020 10 20 $h done

ls -1 logo-text-hour*.png >2020-10-20-logo-text-hour-filex.txt

magick montage -verbose -adjoin -tile 12x2 +frame +shadow +label -adjoin -geometry "256x256+0+0<" @2020-10-20-logo-text-hour-filex.txt logo-text-20october2020-ff-questions-by-hour.png

a plot of tweets per day vs follower count for accounts following @asianturfgrass as of 15 February 2014, plot made using ggplot2

These plots show the average daily sunshine (n = hours of sun) for 24 cities. The color of the points on the plots show the calculated growth potential for warm-season grasses based on an optimum temperature of 31 degrees. Data are from the World Meteorological Organization climatological normals dataset and the plots were made using the ggplot2 package in R.

The line that fits the data was just a solve for theta, the line that doesn't really fit the data at all was suppose to be a gradient descent after 10 iterations... it didn't work out too well.

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