In this folder I display assorted single visualizations I created in different contexts and from datatsets. Some of these have been recreated in a blog post or shared in some format on my website which I invite you to explore:
Anyways, enjoy!
21.03.2021
An attempt at visualizing Israel's population vaccine admission. Inspiration is from Cedric Scherer previous TidyTuesday contribution (Code | Plot)
08.03.2021
Decided to celebrate IWD by plotting all 57 female winning the Nobel Prize. Data and images were collected from Wikipedia and the full reproducible code can be found below.
17.01.2021
I'm working on a new blog post that includes calculating distances from a point to some other points. It was my first time diving deeper (than I'm used to) in to the {sf} R package.
18.09.2020
For the new Jewish year I created a word-cloud from our Israel 2050 whatsapp chat group. Once you have the word-cloud set up you can easily make it for other groups which I did. I was having issues doing everything in R so I exported it to html and manually saved it. The logo and light-blue bar was also manually added. No chats are provided in this repo, but checkout the rwhatsapp package that helps with all the heavy lifting and guide you through the process (which is really easy).
16.06
I shared on Linkedin the amazing features of patchwork and decided to share it here too if you stumble upon it. patchwork is an R package for combining several ggplots by Thomas Lin Pedersen with an easy and simple syntax. If you're looking for something to combine several ggplots into one graphic check it out!
01.06
On behalf of Almog Simchon's course at Ben-Gurion university of the Negev We were required to explore and visualize findings from a #TidyTuesday dataset. My partner and I chose a dataset about spotify songs which I explore in a sub-folder of this repository. Below is the final visualization from the exploration:
(Link to code and exploration)
11.05
I decided to plot all my available fonts so that I don't have to try a font just to see how it looks. You can always find fonts on Google fonts, download and install them to windowns. My personal favorite? "Roboto Condensed". Plot idea comes from Hadley Wickham's ggplot 2 book, specifically ch.8.
23.11.2019
I mapped the streets of Be'er Sheva thanks to Christian Burkhart blog. Once I mapped the streets (left) I could map the city lights of the city (right) thanks to the municipality's free open data.
Link to street map code | Link to light posts code
12.11.2019
In this visualization I mapped the bomb shelters near my neighborhood in Be'er-Sheva. I discovered open data sets from our municipality's website and took the next day's opportunity (missiles fired towards Israel) to plot bomb shelters. I've since created a blog post on my website explaining how I made this map along with an interactive leaflet package; you can find it here.
12.10.2019
In this visualization I took Eliud Kipchoge's marathon score of under 2 hours (1:59:40) and situated it in comparison to previous yearly records. I've since created a blog post where I scrape the data from Wikipedia and explain how I create this plot; you can find it here
