This is your work, valued

Montpellier, France

Holtz Yan

Elite
@holtzy

I ❤️ data visualization 🤷🏻‍♂️

The-Python-Graph-Gallery. A website displaying hundreds of charts made with Python

2.2k

data_to_viz. Leading to the dataviz you need

1.1k

D3-graph-gallery. A collection of simple graphics made with D3.js

850

R-graph-gallery. A website that displays hundreds of R charts with their code

745

react-graph-gallery. A set of graph examples showing how to make react and d3.js work together

336

dataviz-inspiration. A collection of viz I love

134

Pimp-my-rmd. A few tips about R markdown

113

epuRate. A clean R Markdown template for your reports

99

lumo. A clean, minimalist quarto theme for your data analysis reports

70

quarto-tricks. A set of tips and tricks for Quarto

65

Talk. The material for my talks

40

R-Markdown-Parallax. How to use parallax on your R Markdown output

35

data_analysis_website. Make your data science report a website. In 10 minutes.

33

dataviz-project-boilerplate. Ready to go for a dataviz project

23

GenMap-Comparator. An application to compare genetic maps with D3 & Shiny

22

Google-Scholar-Network. Using R to study the co-author relationship of researchers

22

Visualizing-the-ICD10-Classification. A set of visualization showing how human diseases are organized

19

Crypto-Arbitrage. Crypto arbitrage: a feasibility analysis

19

data_to_art. Turning data into art

18

pacific-challenge. My entry for the pacific challenge

17

UKB_geo_application. A website describing genetic and geographical features in the UK Biobank

14

Mortality. Visualizing mortality linked with Mental Disorders

13

About-Surfers-On-Twitter. Analysing the #Surf hashtag on twitter

13

Publication. A list of my scientific publication

12

nice-dashboards. A list of dashboards I like

11

data-to-stat. Visual explanation of statistical concepts

10

paletteer. 🎨🎨🎨 Collection of most color palettes in a single R package

10

advanced-quarto. Example of a great data analysis report with Quarto

9

Teaching. Documents I use for teaching

9

JM-GWAS. GWAS pipeline: Vitamin-D in the UKB including SMR analysis

8

productive-r-workflow-homework-solution. Solution for the exercices of the productive r workflow course

8

dataviz-color-finder. TypeScript

6

productive-r-workflow. JavaScript

6

google-scholar-explorer. Exploring what google scholar can tell us

5

dataviz-corner. The Dataviz Corner

5

immo-renta. Compute the profitability of a house investment

4

Bioinformatics-Tool-Box. My tool box for Bioinformatics

4

RMarkdown-demo. A minimal data analysis pipeline demo

4

Julanne_Thesis. Material related to Julanne Thesis

3

QTL-Explorer. An application for QTL vizualisation

3

LCSLCIS. an R library

3

Mental-Disorder-Review. A visual essay on mental disorders

3

GreenTech-Challenge. A shiny App studying the pesticide concentrations in France

3

frontend-flashcards. A set of flashcards related with JS, typescript, CSS and other frontend stuff

2

vieux-sac. A tiny website for my friend's birthday

2

d3-explorer. Exploration of the d3.js codebase

2

france-geojson. Contours des régions, départements, arrondissements, cantons et communes de France (métropole et départements d'outre-mer) au format GeoJSON

2

design-system. A library of react UI components for my websites

2

Quarto. Quarto

2

dataviz-caveat-flashcards. A set of cards summarizing the most common caveats in data visualization

2

the-NB-COMO-Project. A Shiny app describing comorbidity in the Danish Health Register

2

Publication-WSSMV-Resistance. Reproducible analysis of the publication concerning resistance of Durum wheat to WSSMV

2

matplotblog. Matplotlib blog

1

Resistance-to-fusarium. Reproducible analysis of our study concerning Durum wheat and Fusarium

1

speedrun. HTML

1

matplotlib.github.com.

1

procogia. Preparing a collaboration

1

books. Some books I loved

1