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Title | Shirin’s |
Description | Data Storytelling exploring and playing with data in |
Keywords | , R |
WebSite | shirin-glander.de |
Host IP | 67.207.80.24 |
Location | United States |
Euro€1,653
Zuletzt aktualisiert: 2022-08-18 11:22:07
shirin-glander.de hat Semrush globalen Rang von 22,839,146. shirin-glander.de hat einen geschätzten Wert von € 1,653, basierend auf seinen geschätzten Werbeeinnahmen. shirin-glander.de empfängt jeden Tag ungefähr 551 einzelne Besucher. Sein Webserver befindet sich in United States mit der IP-Adresse 67.207.80.24. Laut SiteAdvisor ist shirin-glander.de sicher zu besuchen. |
Kauf-/Verkaufswert | Euro€1,653 |
Tägliche Werbeeinnahmen | Euro€34,713 |
Monatlicher Anzeigenumsatz | Euro€11,571 |
Jährliche Werbeeinnahmen | Euro€1,102 |
Tägliche eindeutige Besucher | 551 |
Hinweis: Alle Traffic- und Einnahmenwerte sind Schätzungen. |
Host | Type | TTL | Data |
shirin-glander.de. | A | 300 | IP: 67.207.80.24 |
shirin-glander.de. | A | 300 | IP: 68.183.23.220 |
shirin-glander.de. | NS | 3600 | NS Record: dns3.p05.nsone.net. |
shirin-glander.de. | NS | 3600 | NS Record: dns4.p05.nsone.net. |
shirin-glander.de. | NS | 3600 | NS Record: dns1.p05.nsone.net. |
shirin-glander.de. | NS | 3600 | NS Record: dns2.p05.nsone.net. |
Shirin’s playgRound Dr. Shirin Elsinghorst Biologist turned Bioinformatician turned Data Scientist Home Categories Tags About Book me All my spoken & written words Archives RSS My old R-blog GitHub Stack Overflow Twitter LinkedIn Xing MünsteR R-bloggers R-users WomenInTech codecentric.ai Stillberatung (GER) Data Storytelling presentation April 26, 2022 in R This is code accompanying my talk about Data Storytelling at the German Online Conference Data Science im Unternehmen. The data has been collected from the Technology Subreddit. The CSV-file can be found here: https://datanizing.com/data-science-day/transport-short.7z Or the data can be accessed via this SQLite-databank: https://datanizing.com/data-science-day/technology-transport-short.7z Libraries library(readr) library(tidyverse) library(tidytext) library(lubridate) library(reshape2) Setting up custom ggplot color scheme Colorblind-friendly according to https://shirinsplayground.netlify.app/2020/10/goodbadugly/ cbp2 <- |
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