Joachim Schork @JoachimSchork
Data Science Education & Consulting statisticsglobe.com Germany Joined August 2018-
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How to interpret a Biplot for a Principal Component Analysis (PCA). The tutorial was created in collaboration with Paula Villasante Soriano & @Cansu_SG: statisticsglobe.com/biplot-pca-exp… #StatisticalAnalysis #coding
How to calculate the sum by group of a pandas DataFrame in the Python programming language: statisticsglobe.com/calculate-sum-… #Python #DataScience #Pythonprogramming #programming
How to draw an Autoplot of a Principal Component Analysis (PCA) using the Python programming language. The tutorial was created in collaboration with Paula Villasante Soriano & @Cansu_SG: statisticsglobe.com/autoplot-pca-p… #DataScience #programming #Python
How to draw a cumulative histogram using the R programming language. The tutorial also compares Base R & the ggplot2 package: statisticsglobe.com/draw-cumulativ… #tidyverse #ggplot2 #RStats #datascienceeducation #statisticsclass #Rpackage #datavis
How to merge two data frames with different variables using the dplyr package in the R programming language: youtu.be/uRWHUHWYL0w #Rpackage #rstudioglobal #StatisticalAnalysis #RStats
How to automate web browsers using the RSelenium package in the R programming language. The tutorial was created in collaboration with Samer Hijjazi: youtu.be/WRjKyCZsbE4 #Rpackage #RStats #R #datascienceeducation
How to remove the intercept from a linear regression model in the R programming language: statisticsglobe.com/remove-interce… #rstudioglobal #DataScience #DataScienceenthusiast #RStats
📊 #30DayChartChallenge 🗓️#Day16: Weather
Global warming. My #30DayChartChallenge contribution for #Day16 Based on the high quality data we provide with @cct_earth and @IGCC_earth Viz: delicate-parfait-303c27.netlify.app More info: climatechangetracker.org/global-warming where you can track various warming indicators #d3js #rstats #scrollama
How to apply image classification based on artificial intelligence using a Hugging Face transformers pipeline in the Python programming language. The tutorial was created in collaboration with Ifeanyi Idiaye: statisticsglobe.com/image-classifi… #Python #DataScientist #programmer
How to add a new row to a DataFrame using the pandas library in the Python programming language: statisticsglobe.com/add-row-to-pan… #datasciencetraining #Python #Pythoncode #statisticsclass
Hey, I've published an extensive introduction on how to apply a Principal Component Analysis (PCA) using the R programming language: statisticsglobe.com/principal-comp… #datascienceeducation #RStats #RStudio #Statistics
Introduction to ifelse statements using the R programming language: statisticsglobe.com/if-else-statem… #statisticsclass #DataAnalytics #RStats #RStudio
How to color a plot based on a factor variable in the R programming language: statisticsglobe.com/coloring-plot-… #R #Statistics #DataAnalytics #datavis #RStats
How to import all worksheets of an Excel file to a list of data frames in the R programming language: youtu.be/nnZXSw3wc3o #RStats #Data #StatisticalAnalysis #RStudio #Database #programming
How to add multiple columns to a DataFrame using the pandas library in the Python programming language: statisticsglobe.com/add-multiple-c… #Python #Statistical #Pythonlearning #DataAnalytics
How to remove rows of a DataFrame conditionally using the pandas library in the Python programming language: statisticsglobe.com/delete-rows-in… #StatisticalAnalysis #Statistical #Python
How to compare vectors and find differences in the R programming language. The tutorial shows five examples for functions such as identical(), intersect(), and setdiff(): youtu.be/NlscijkMECI #DataScientist #Statistics #RStats
How to remove grid, background color, top, and right borders of a ggplot2 plot in the R programming language: youtu.be/TZ-H3sk7Zag #ggplot2 #tidyverse #RStats #R #DataViz
How to add straight lines to a plot using the abline() function in the R programming language: youtu.be/sM2fM0v155M #R4DS #DataViz #Statistical #RStats #DataScientist
R Markdown @rmarkdown
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@JoachimSchork Merci @JoachimSchork ! Pourquoi et dans quel cas est-il nécessaire de faire recours à l’utilisation d’ACP ? 😃 Une question simple mais j’aimerais avoir avis dessus.
@JoachimSchork I should have said "nonsignificant figures". Some parameters are reported with falsely high precision, and should be reported only to the significant figures.
@JoachimSchork How do you manage the excess significant figures? Removing them is important for clarity.
@JoachimSchork Awesome @JoachimSchork! Very timely for me! I started a kinda deeper dive on KDE and got very tangled up trying to use the Epanechnikov kernel with plotly()... Looking forward to it.
@JoachimSchork R is not used by many peoples in data science python is most used language in python you can make by using python
@JoachimSchork @JoseLuis_Hndz Is there any reason to use xtable + Latex rather than using Quarto to produce both the tables and the document text?
@JoachimSchork I was using Boom but the output wasn't good enough. My examiner ( Mattias Ritter who's also a German) wasn't having it, I got an average grade because of that. Thanks for sharing.
@JoachimSchork “A” will never be a mistake IMHO, “B” may be more controversial. Also, people tend to assume that a line graph means time evolution and the area have different connotations
@JoachimSchork A. I could interpret the data right away.
@JoachimSchork Okay. I feel much better now. lol. I recently learned R and used logistic regression for my data. My AUC was 0.76 with 4 predictive variables. Not bad but not great either.
@JoachimSchork A. For sure. It's the best graph for time series and analyzing trends. Besides, is more simple and clear.
@JoachimSchork Nice model. 6 variables with very low p values? I’m extremely jealous.
It's April and that means it's time for the #30DayChartChallenge! For the "Part to Whole" prompt, I decided to make a bullet chart looking at the Gender Pay Gap in different occupations using #TidyTuesday data from 2019! #DataViz #RStats #ggplot2 #Day1