Name: Easy Code-based Data Visualization with tidyplots
Start: 2025-09-17T17:00:00+01:00
End: 2025-09-17T19:00:00+01:00

In this meetup, we will explore the visualization of different types of datasets using tidyplots. We will cover the plotting of raw data points, amounts, and heatmaps, as well as measures for central tendency, dispersion, and uncertainty. We will conclude by visualizing distributions and proportions, and adding statistical comparisons and annotations.

Bilikisu Olatunji

Zeenatuddeen Muhammad

Ifeoma Egbogah

Queeneth Onwuka 

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## **Jan Broder Engler — Scientist & Software Developer**

### **Science**

* **Position & Focus: He is a Senior Scientist at the Institute of Neuroimmunology and Multiple Sclerosis, where his research centers on strategies to protect neurons from neuroinflammation. **
* **Recent Publications: His notable works include:**
    * **Protective effect of TCR-mediated MAIT cell activation during experimental autoimmune encephalomyelitis (Nature Communications, 2024)**
    * **The neuropathobiology of multiple sclerosis (Nature Reviews Neuroscience, 2024)**
    * **MicroRNA-92a-CPEB3 axis protects neurons against inflammatory neurodegeneration (Science Advances, 2023)**
    * **G9a dictates neuronal vulnerability to inflammatory stress via transcriptional control of ferroptosis (Science Advances, 2022)**
    * **Identifying CNS-colonizing T cells as potential therapeutic targets to prevent progression of multiple sclerosis (Med, 2021)**
    * **Bassoon proteinopathy drives neurodegeneration in multiple sclerosis (Nature Neuroscience, 2019) **

### **Software Development**

* **He builds open-source software tools designed to make code-based data visualization more accessible to scientists:**
    * **Tidyplots (2024): Streamlines creation of publication-ready plots for scientific papers.**
    * **iMeta (2025): Empowers life scientists with easy code-based data visualization (utilizes Tidyplots).**
    * **Tidyheatmaps (2024): Simplifies generating publication-quality heatmaps from tidy data.**

### **Online & Funding**

* **He expresses gratitude to the individuals and institutions supporting his work.**
    **His website features links to his ORCID, GitHub, and Bluesky profiles, along with additional links (presumably to UKE, DFG, etc.) indicating institutional affiliations and funding acknowledgments.**

Jan Broder Engler

Easy Code-based Data Visualization with tidyplots

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Easy Code-based Data Visualization with tidyplots

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