see github.com/rtanglao/2016-r-rtgram/blob/master/README.md#r...

colophon: github.com/rtanglao/2016-r-rtgram

31 jpegs fri jan 1 - sun jan 31 2016 instagram vancouver average colour pie charts

tweet per day vs # of followers, faceted by year account opened, for all accounts following @asianturfgrass on 15 Feb 2014, plot made using ggplot2

average colour instagram vancouver 2015 gastown plotted on a stamen watercolor map

colophon:

github.com/rtanglao/ig-ggmap#10october2017-lets-try-comme...

of the twitter accounts following @asianturfgrass on 15 Feb 2014, these have the largest follower:following ratio. Plot made using ggplot2

mostly accurate colophon :-) github.com/rtanglao/rt-flickr-sqlite-csv/blob/main/no-cap...

This chart shows the cumulative sum of [cool-season growth potential - warm-season growth potential] from 1 August to 30 November 2013, with data obtained from the weather station at Hongqiao airport. The inflection point on 24 September indicates that the temperatures changed at that date, with preceding days more suitable for the growth of warm-season grass, and succeeding days more suitable for the growth of cool-season grass. For more information about this technique, see www.seminar.asianturfgrass.com/20140224_overseeding_growt...

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

colophon: github.com/rtanglao/rt-flickr-sqlite-csv/blob/main/README...

github.com/rtanglao/rt-flickr-sqlite-csv/blob/main/README... <-- colophon

bash commands:

magick convert right-leg_artofwhere-red-pink-2019-20.png -transparent "#ffffff" transparent-right-leg_artofwhere-red-pink-2019-20.png

magick convert left-leg_artofwhere-red-pink-2019-20.png -transparent "#ffffff" transparent-left-leg_artofwhere-red-pink-2019-20.png

magick convert -background none -layers flatten transparent-right-leg_artofwhere-red-pink-2019-20.png transparent-left-leg_artofwhere-red-pink-2019-20.png transparent-artofwhere_left_and_right_overlaid-red-pink-2019-2020.png # [1]

# drawing over makes the same image as [1]

magick transparent-right-leg_artofwhere-red-pink-2019-20.png -draw "image over 0,0 0,0 'transparent-left-leg_artofwhere-red-pink-2019-20.png'" drawover-transparent-artofwhere_left_and_right_overlaid-red-pink-2019-2020.png

see rolandtanglao.com/2016/07/31/p1-simplest-ggplot2-bar-char... for colophon

Christine Zhang - fellow Knight-Mozilla OpenNews

Sandhya Kambhampati - fellow Knight-Mozilla OpenNews

Graphing data is one of the core components of data analysis. Visualizing information can help journalists quickly identify trends within a dataset, and a powerful visual can tell a compelling story. In this workshop, we will present the basics of the ggplot2 package in R (an open-source statistical language), including installing the package and using it for plotting, exploring, and transforming data. Attendees will leave with an appreciation for the grammar of graphics and the power of ggplot2 for both exploratory and explanatory purposes.

This workshop would be most helpful for those who have experience working with data.

We recommend attendees of this session install the R package as well as R studio to be prepared for the workshop.

www.youtube.com/watch?v=FZDl5dfwOlo

Christine Zhang - fellow Knight-Mozilla OpenNews

Sandhya Kambhampati - fellow Knight-Mozilla OpenNews

Graphing data is one of the core components of data analysis. Visualizing information can help journalists quickly identify trends within a dataset, and a powerful visual can tell a compelling story. In this workshop, we will present the basics of the ggplot2 package in R (an open-source statistical language), including installing the package and using it for plotting, exploring, and transforming data. Attendees will leave with an appreciation for the grammar of graphics and the power of ggplot2 for both exploratory and explanatory purposes.

This workshop would be most helpful for those who have experience working with data.

We recommend attendees of this session install the R package as well as R studio to be prepared for the workshop.

www.youtube.com/watch?v=FZDl5dfwOlo

Graphic functions of the phyloseq package.The phyloseq class is an experiment-level data storage class defined by the phyloseq package for representing phylogenetic sequencing data. Most functions in the phyloseq package expect an instance of this class as their primary argument. See the phyloseq manual The Global Patterns [47] and Enterotypes [91] datasets are included with the phyloseq package. The Global Patterns data was preprocessed such that each sample was transformed to the same total read depth, and OTUs were trimmed that were not observed at least 3 times in 20% of samples or had a coefficient of variation ? 3.0 across all samples. For the plot_tree and plot_bar subplots, only the Bacteroidetes phylum is shown. Each subplot title indicates the plot function that produced it. Complete details for reproducing this figure are provided in File S2. All of these functions return a ggplot object that can be further customized/modified by tools in the ggplot2 package [57]. See additional descriptions of each function in the body text, and at the phyloseq homepage [39].

Christine Zhang - fellow Knight-Mozilla OpenNews

Sandhya Kambhampati - fellow Knight-Mozilla OpenNews

Graphing data is one of the core components of data analysis. Visualizing information can help journalists quickly identify trends within a dataset, and a powerful visual can tell a compelling story. In this workshop, we will present the basics of the ggplot2 package in R (an open-source statistical language), including installing the package and using it for plotting, exploring, and transforming data. Attendees will leave with an appreciation for the grammar of graphics and the power of ggplot2 for both exploratory and explanatory purposes.

This workshop would be most helpful for those who have experience working with data.

We recommend attendees of this session install the R package as well as R studio to be prepared for the workshop.

www.youtube.com/watch?v=FZDl5dfwOlo

Christine Zhang - fellow Knight-Mozilla OpenNews

Sandhya Kambhampati - fellow Knight-Mozilla OpenNews

Graphing data is one of the core components of data analysis. Visualizing information can help journalists quickly identify trends within a dataset, and a powerful visual can tell a compelling story. In this workshop, we will present the basics of the ggplot2 package in R (an open-source statistical language), including installing the package and using it for plotting, exploring, and transforming data. Attendees will leave with an appreciation for the grammar of graphics and the power of ggplot2 for both exploratory and explanatory purposes.

This workshop would be most helpful for those who have experience working with data.

We recommend attendees of this session install the R package as well as R studio to be prepared for the workshop.

www.youtube.com/watch?v=FZDl5dfwOlo

colophon: 4691ea0 commit of github.com/rtanglao/rt-r-ggplot2-ruby-experiments/blob/ma...

colophon: github.com/rtanglao/rt-flickr-sqlite-csv/blob/main/README...

Oyster Card LUL Traffic. Origin-Destination data from TFL, routes simulated using iGraph in R and visualised using ggplot2

We started the ride to Mt Baw Baw at Tanjil Bren, and the ride to Mt Hotham between Bright and Harrietville - just to get the legs warmed up before the climbs.

colophon: github.com/rtanglao/rt-kitsune-api/blob/master/VISUALIZAT...

see gist.github.com/1061969

This is a better version with: black and white theme and better labelling!

NOTE: Most replies have no emotitag because it's not obvious to users? Because contributors don't have time to fill this in ? Not sure !

Created using ggplot2 in R

# of twitter accounts following @asianturfgrass as of 15 Feb 2014, based on year account was opened. Plot made using ggplot2

Created with R 2.15 and ggplot2

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

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

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

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

see gist.github.com/1061969

NOTE: Most replies have no emotitag because it's not obvious to users? Because contributors don't have time to fill this in ? Not sure !

List of drivers, ordered by the approximate amount of salary driver is getting (top list driver is making the most) and position at the end of each race.

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

colophon: rolandtanglao.com/2021/09/04/p1-ggalt-encircle/

see the R lang ggplot 2 code here:

gist.github.com/1061969

colophon: github.com/rtanglao/rt-flickr-sqlite-csv/blob/main/segmen...

colophon: run github.com/rtanglao/rt-flickr-sqlite-csv/blob/main/theme-...

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

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

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

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

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