The Team Behind Statistics Globe

Statistics Globe is an education platform that provides free programming tutorials in R and Python as well as theoretical explanations for the field of statistics and data science.

On this page, we want to give you a brief overview about the team behind this platform. This covers the authors of tutorials on Statistics Globe as well as the people behind the scene that are responsible for the appearance of the Statistics Globe website and its social media channels.

 

Joachim Schork
Main Author & Founder of Statistics Globe
Joachim Schork is the main author and founder of Statistics Globe. He has a master’s degree in Survey Statistics and several years of working experience in the field of Official Statistics. His areas of work include the imputation of missing data, the statistical matching of different data sources, and the sampling design of surveys. Joachim is responsible for the creation of new tutorials and the conceptional planning of the website, the YouTube channel, and the social media platforms. Read more about Joachim...
Micha Gengenbach
Video Editing & Social Media Management
Micha Gengenbach is the manager, developer, and SEO of Statistics Globe’s YouTube and social media accounts. He has a background as a certified business administrator with several years of experience in a sales back-office and as a sales representative. Micha is responsible for the editing of videos on the Statistics Globe YouTube channel as well as for Statistics Globe’s appearance on social media platforms such as LinkedIn, Facebook, and Twitter. Read more about Micha...
Matthias Bäuerlen
Video Editing, Promotion & Public Relations
Matthias Bäuerlen is responsible for the editing of YouTube videos and for the promotion of Statistics Globe. If you want to talk about any kind of collaborations, don’t hesitate to get in touch with him! Matthias has experience in the field of education and as an orthopedic technician. Furthermore, he has an eagle eye when it comes to the improvement of online workflows – a perfect skill to make the tutorial creation on Statistics Globe even more efficient. Read more about Matthias...

Guest Authors on Statistics Globe

Statistics Globe regularly features tutorials of guest authors. Below, you can find all authors who have published articles on Statistics Globe in the past. You may click on the images to get further information about these authors as well as a list of their articles on Statistics Globe.

 

Philip Gigliotti
1 Article
Jim Frost
1 Article
Adrián Álvarez Molina
1 Article

Social Media & Contact

A major goal of the Statistics Globe platform is to exchange with other statisticians, data scientists, programmers, and researchers of any field. Please let us know in the comments or on social media, in case you have any questions or topics you want to discuss!

In case you want to follow Statistics Globe on social media or if you want to contact us via email, you can find all details below.

 

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9 Comments. Leave new

  • how are you sir
    i want (ggplot ) for clusters for example bar plots of clusters

    thanks

    Reply
  • Hi Joachim,
    Hope you are well.
    Your tutorials are very helpful for understanding R programming for people without any background of the same.
    I’m hardcore biologist and wish to do data analyses and statistical analyses using R. However, I’m having trouble in finding reference for arranging my data (data frame) for certain packages (e.g.: vegan, microbiome, phyloseq, etc.)
    Can you help with these?

    Regards,

    Shruti

    Reply
    • Hey Shruti,

      I’m fine, and you? 🙂

      First of all, thanks a lot for the very kind words! Glad to hear that you like the Statistics Globe tutorials!

      Regarding your question: I’m not a biologist, so I have never worked with these packages. However, could you explain how your data should be modified? Maybe we can still find a solution.

      Regards

      Joachim

      Reply
      • Thank you so much for your reply.
        I deal with with environmental samples and I use molecular methods to draw certain inferences based on data that I get (metagenomic) and relating it to various environmental factors such temperature, pH, etc and sometimes intra-comparison within the samples. There are packages in R (Bioconductor actually) like the ones I mentioned which are widely used and a re known to help create and obtain different interpretations. And my major query is that for each of these packages, for R to read the file, the data has to be arranged in a particular way, so how do we know it or is there a way where changes in the script would make file readable

        -Regards,
        Shruti

        Reply
  • Thank you so much for your reply. I would surely try this and see if it works.

    -Regards,
    Shruti

    Reply
  • Yes, thank you. I hope to find a solution soon too ☺😇

    Regards,
    Shruti

    Reply

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