Articles by Jonathan Kitt

Vendée Globe 2024

November 19, 2024 | Jonathan Kitt

Introduction The Vendée Globe 2024 is well under way! I wanted to see if I could try a map of the skippers with R. Follow this tutorial if you’d like to try it for yourself! Getting the data The skipper’s standings and coordinates (among o...
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{datardis} package v.0.0.5

August 21, 2024 | Jonathan Kitt

Introduction The {datardis} package includes datasets which provide lists of episodes for the Doctor Who and Torchwood TV series. The latest version of the package (v.0.0.5) includes the latest episodes : 2023 specials Series 14 (2024) I...
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#TidyTuesday 2023 – Week 37

September 11, 2023 | Jonathan Kitt

Introduction The #TidyTuesday weekly challenge is organised by the R4DS (R for Data Science) Online Learning Community. Every tuesday throughout the year, participants work on a common dataset and share the plots they create. The dataset for th...
[Read more...]

#TidyTuesday 2023 – Week 37

September 11, 2023 | Jonathan Kitt

Introduction The #TidyTuesday weekly challenge is organised by the R4DS (R for Data Science) Online Learning Community. Every tuesday throughout the year, participants work on a common dataset and share the plots they create. The dataset for t...
[Read more...]

#TidyTuesday 2023 – Week 35

August 28, 2023 | Jonathan Kitt

Thanls to Dan Oehm for sharing his tips on addind icons in the script titles! Introduction The #TidyTuesday weekly challenge is organised by the R4DS (R for Data Science) Online Learning Community. Every tuesday throughout the year, participant...
[Read more...]

#TidyTuesday 2023 – Week 35

August 28, 2023 | Jonathan Kitt

Thanls to Dan Oehm for sharing his tips on addind icons in the script titles! Introduction The #TidyTuesday weekly challenge is organised by the R4DS (R for Data Science) Online Learning Community. Every tuesday throughout the year, participan...
[Read more...]

#TidyTuesday 2023 – Week 32

August 9, 2023 | Jonathan Kitt

Introduction The #TidyTuesday weekly challenge is organised by the R4DS (R for Data Science) Online Learning Community. Every tuesday throughout the year, participants work on a common dataset and share the plots they create. The dataset for th...
[Read more...]

#TidyTuesday 2023 – Week 32

August 9, 2023 | Jonathan Kitt

Introduction The #TidyTuesday weekly challenge is organised by the R4DS (R for Data Science) Online Learning Community. Every tuesday throughout the year, participants work on a common dataset and share the plots they create. The dataset for t...
[Read more...]

#TidyTuesday 2023 – Week 31

August 3, 2023 | Jonathan Kitt

Introduction The #TidyTuesday weekly challenge is organised by the R4DS (R for Data Science) Online Learning Community. Every tuesday throughout the year, participants work on a common dataset and share the plots they create. The dataset for th...
[Read more...]

#TidyTuesday 2023 – Week 31

August 3, 2023 | Jonathan Kitt

Introduction The #TidyTuesday weekly challenge is organised by the R4DS (R for Data Science) Online Learning Community. Every tuesday throughout the year, participants work on a common dataset and share the plots they create. The dataset for t...
[Read more...]

#TidyTuesday 2023 – Week 30

July 30, 2023 | Jonathan Kitt

Introduction The #TidyTuesday weekly challenge is organised by the R4DS (R for Data Science) Online Learning Community. Every tuesday throughout the year, participants work on a common dataset and share the plots they create. The dataset for th...
[Read more...]

#TidyTuesday 2023 – Week 30

July 30, 2023 | Jonathan Kitt

Introduction The #TidyTuesday weekly challenge is organised by the R4DS (R for Data Science) Online Learning Community. Every tuesday throughout the year, participants work on a common dataset and share the plots they create. The dataset for t...
[Read more...]

The {datardis} package

June 22, 2023 | Jonathan Kitt

Install the package The {datardis} package is available on CRAN: install.packages("datardis") The datasets As of today, the {datardis} package (version 0.0.3) contains six datasets : List of Doctor Who episodes from the revived era (sinc... [Read more...]

The {datardis} package

June 22, 2023 | Jonathan Kitt

Install the package The {datardis} package is available on CRAN: install.packages("datardis") The datasets As of today, the {datardis} package (version 0.0.3) contains six datasets : List of Doctor Who episodes from the revived era (sin... [Read more...]

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