IandLoveandData
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Day 7 #30DayMapChallenge - Navigation. Bringing back the voronoi network for Amtrak but this time for California, state with the most Amtrak stations.
@observablehq plot: https://observablehq.com/d/a4762f8e9496a5cd -
Day 3 - #30daychartchallenge - Polygons. I learned to make these graphic backgrounds with hexbins in @observablehq , also learned Alameda is one of the most ethnically diverse regions in Bay Area and the nation.
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R and Python sitting in a tree — R. E. T. I. C. U. LATE.
Our hackathon goal was to showcase how easy it is to work as a part of cross-language team of Python and R to deliver on end-to-end data science project.
This article deep dives into my journey of using #Reticulate in R to call API function calls written by Riesling in Python with the goal of getting relevant data into R data frames which we could then visualize using GGPlot2.
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#TidyTuesday US Monthly retail sales was extra fun to analyze with #Plotly in #rstats #QuartoPub #Quarto
Detailed article on #datacleaning #plotting and using #crosstalk to add interactivity in visualization is here: https://medium.com/@menghani.deepsha/tidytuesday-retail-sales-data-analysis-with-plotly-in-r-c8ca605d4d0
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For this week's #TidyTuesday I wanted to combine #ggmap and #gganimate. The reveal transition didn't work as expected and I cleaned the data to be cumulative so the previously approved elevators showed up as new ones start popping. Created functions to replicate for any year. #rstats Code: https://github.com/deepshamenghani/tidytuesday/tree/master/2022/Week_49_Elevators
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How to access an #api for first time users. Riesling and I wanted to analyze data related to our hobby as part of msft hackathon. Here’s the first article in an upcomig series of analyzing Ravelry knitting projects data using #rstats and #python . Next up in series - Using #Reticulate to combine their powers!
https://medium.com/data-science-at-microsoft/how-to-access-an-api-for-first-time-api-users-879002f5f58d?source=friends_link&sk=c2763957800727392111bfe47da08fb3