Christoph Scheuch
@christophscheuch.bsky.social
Expert in Reproducible Research & Scalable Data Workflows | Founder at tidy-intelligence.com | Co-creator of tidy-finance.org & econdataverse.org | Data Editor at sfs.org | Lecturer at hu-berlin.de
Big milestone: {econdataverse} is now on CRAN #rstats. Install & load multiple #EconDataverse packages in one step, just like the {tidyverse} 🥹
September 11, 2025 at 11:56 AM
Big milestone: {econdataverse} is now on CRAN #rstats. Install & load multiple #EconDataverse packages in one step, just like the {tidyverse} 🥹
Looking forward to my first pure #Python conference ever at PyData Berlin 🐍
If you are interested in getting to know Shinylive and WebAssembly in Python, feel free to join my talk tomorrow at noon titled „Building Reactive Data Apps with Shinylive and WebAssembly“ ✌️
If you are interested in getting to know Shinylive and WebAssembly in Python, feel free to join my talk tomorrow at noon titled „Building Reactive Data Apps with Shinylive and WebAssembly“ ✌️
September 1, 2025 at 7:54 AM
Looking forward to my first pure #Python conference ever at PyData Berlin 🐍
If you are interested in getting to know Shinylive and WebAssembly in Python, feel free to join my talk tomorrow at noon titled „Building Reactive Data Apps with Shinylive and WebAssembly“ ✌️
If you are interested in getting to know Shinylive and WebAssembly in Python, feel free to join my talk tomorrow at noon titled „Building Reactive Data Apps with Shinylive and WebAssembly“ ✌️
I’m a big fan of the Positron IDE, so when @rachaeldempsey.bsky.social asked me to provide a testimonial, I didn’t hesitate 🙏
August 19, 2025 at 11:14 AM
I’m a big fan of the Positron IDE, so when @rachaeldempsey.bsky.social asked me to provide a testimonial, I didn’t hesitate 🙏
Last week, the IMF released new World Economic Outlook data. Since @tealemery.bsky.social and I are currently building an #rstats package to access it, I made a quick Shinylive app to explore the data interactively. Feedback welcome!
apps.econdataverse.org/economic-out...
apps.econdataverse.org/economic-out...
April 27, 2025 at 10:35 AM
Last week, the IMF released new World Economic Outlook data. Since @tealemery.bsky.social and I are currently building an #rstats package to access it, I made a quick Shinylive app to explore the data interactively. Feedback welcome!
apps.econdataverse.org/economic-out...
apps.econdataverse.org/economic-out...
Day 5 of the #30DayChartChallenge: Ranking 📊
I visualized the Economic Complexity Index (ECI) by Harvard’s Growth Lab - Japan has led for 20+ years, while South Korea jumped from 19th to 2nd. Used a bump chart with a simple hover effect (link to app & code below) ✌️
I visualized the Economic Complexity Index (ECI) by Harvard’s Growth Lab - Japan has led for 20+ years, while South Korea jumped from 19th to 2nd. Used a bump chart with a simple hover effect (link to app & code below) ✌️
April 5, 2025 at 8:08 AM
Day 5 of the #30DayChartChallenge: Ranking 📊
I visualized the Economic Complexity Index (ECI) by Harvard’s Growth Lab - Japan has led for 20+ years, while South Korea jumped from 19th to 2nd. Used a bump chart with a simple hover effect (link to app & code below) ✌️
I visualized the Economic Complexity Index (ECI) by Harvard’s Growth Lab - Japan has led for 20+ years, while South Korea jumped from 19th to 2nd. Used a bump chart with a simple hover effect (link to app & code below) ✌️
Day 4 of #30DayChartChallenge: Big or Small 📊
Just 162k of the world’s largest farms (>1000 ha) control 38.6% of agricultural land. Meanwhile, 374M small farms (<1 ha) manage only 6.7% 🫣
I visualized this imbalance using a radial chart - form meets function 😅
Interactive app & link to paper below
Just 162k of the world’s largest farms (>1000 ha) control 38.6% of agricultural land. Meanwhile, 374M small farms (<1 ha) manage only 6.7% 🫣
I visualized this imbalance using a radial chart - form meets function 😅
Interactive app & link to paper below
April 4, 2025 at 9:08 AM
Day 4 of #30DayChartChallenge: Big or Small 📊
Just 162k of the world’s largest farms (>1000 ha) control 38.6% of agricultural land. Meanwhile, 374M small farms (<1 ha) manage only 6.7% 🫣
I visualized this imbalance using a radial chart - form meets function 😅
Interactive app & link to paper below
Just 162k of the world’s largest farms (>1000 ha) control 38.6% of agricultural land. Meanwhile, 374M small farms (<1 ha) manage only 6.7% 🫣
I visualized this imbalance using a radial chart - form meets function 😅
Interactive app & link to paper below
#Day03 of the #30DayChartChallenge 📊
Played with color highlights & hover effects in #Vega-Altair! Instead of a circular chart, I mapped the circular material use rate across Europe ♻️ - and wow, the Netherlands is way ahead 🇳🇱
Played with color highlights & hover effects in #Vega-Altair! Instead of a circular chart, I mapped the circular material use rate across Europe ♻️ - and wow, the Netherlands is way ahead 🇳🇱
April 3, 2025 at 8:39 AM
#Day03 of the #30DayChartChallenge 📊
Played with color highlights & hover effects in #Vega-Altair! Instead of a circular chart, I mapped the circular material use rate across Europe ♻️ - and wow, the Netherlands is way ahead 🇳🇱
Played with color highlights & hover effects in #Vega-Altair! Instead of a circular chart, I mapped the circular material use rate across Europe ♻️ - and wow, the Netherlands is way ahead 🇳🇱
Day 2 of the #30DayChartChallenge! I built an interactive slope chart using Shinylive + Vega-Altair - you can pick the countries to display with a selectize dropdown. Explore it here: apps.tidy-intelligence.com/apps/30-day-...
April 2, 2025 at 7:12 AM
Day 2 of the #30DayChartChallenge! I built an interactive slope chart using Shinylive + Vega-Altair - you can pick the countries to display with a selectize dropdown. Explore it here: apps.tidy-intelligence.com/apps/30-day-...
Kicking off my first #30DayChartChallenge with something special: learning Shiny for #Python and leveling up my #vega altair skills to build interactive visualizations. My first chart has an interactive legend and zoom! Link to Shinylive app and code below 👇
April 1, 2025 at 7:32 AM
Kicking off my first #30DayChartChallenge with something special: learning Shiny for #Python and leveling up my #vega altair skills to build interactive visualizations. My first chart has an interactive legend and zoom! Link to Shinylive app and code below 👇
The latest new #tidyfinance chapter introduces discounted cash flow analysis for company valuation (link to chapters below 👇)
Also, give a warm welcome to @patrick-weiss.bsky.social, our team’s go-to expert on valuation. Glad to have him on Bluesky ✌️
Also, give a warm welcome to @patrick-weiss.bsky.social, our team’s go-to expert on valuation. Glad to have him on Bluesky ✌️
March 28, 2025 at 11:02 AM
The latest new #tidyfinance chapter introduces discounted cash flow analysis for company valuation (link to chapters below 👇)
Also, give a warm welcome to @patrick-weiss.bsky.social, our team’s go-to expert on valuation. Glad to have him on Bluesky ✌️
Also, give a warm welcome to @patrick-weiss.bsky.social, our team’s go-to expert on valuation. Glad to have him on Bluesky ✌️
In another new Tidy Finance chapter, we dive into the fundamentals of company analysis using balance sheets, income statements, and cash flows - laying the groundwork for the already existing asset pricing chapters
#TidyFinance #RStats #Python #FinancialAnalysis #Valuation
#TidyFinance #RStats #Python #FinancialAnalysis #Valuation
March 24, 2025 at 11:07 AM
In another new Tidy Finance chapter, we dive into the fundamentals of company analysis using balance sheets, income statements, and cash flows - laying the groundwork for the already existing asset pricing chapters
#TidyFinance #RStats #Python #FinancialAnalysis #Valuation
#TidyFinance #RStats #Python #FinancialAnalysis #Valuation
In another new Tidy Finance chapter, we implement the classic Markowitz model in R and Python. Understanding mean-variance optimization is essential, as it serves as a cornerstone of modern finance. As always, we welcome your feedback 🙏 Check out the new chapters below 👇
March 17, 2025 at 1:58 PM
In another new Tidy Finance chapter, we implement the classic Markowitz model in R and Python. Understanding mean-variance optimization is essential, as it serves as a cornerstone of modern finance. As always, we welcome your feedback 🙏 Check out the new chapters below 👇
We just released a new Tidy Finance chapter on working with stock returns! Learn to apply tidy principles, visualize patterns, and build scalable workflows in R or Python. Fresh content - feedback welcome! Links below 👇
March 12, 2025 at 4:04 PM
We just released a new Tidy Finance chapter on working with stock returns! Learn to apply tidy principles, visualize patterns, and build scalable workflows in R or Python. Fresh content - feedback welcome! Links below 👇
📢 released another new R package to CRAN: {uisapi}
Easily pull data from the @unesco.org Institute for Statistics (UIS) API into R - filling a gap since no R package covered this data source (at least on CRAN).
Feedback & suggestions welcome! 🙏 Repo link below 👇
Easily pull data from the @unesco.org Institute for Statistics (UIS) API into R - filling a gap since no R package covered this data source (at least on CRAN).
Feedback & suggestions welcome! 🙏 Repo link below 👇
March 7, 2025 at 4:18 PM
📢 released another new R package to CRAN: {uisapi}
Easily pull data from the @unesco.org Institute for Statistics (UIS) API into R - filling a gap since no R package covered this data source (at least on CRAN).
Feedback & suggestions welcome! 🙏 Repo link below 👇
Easily pull data from the @unesco.org Institute for Statistics (UIS) API into R - filling a gap since no R package covered this data source (at least on CRAN).
Feedback & suggestions welcome! 🙏 Repo link below 👇
Excited to present at #ShinyConf! My app uses {wbids} to visualize international debt networks from World Bank International Debt Statistics (IDS) data. Explore global financial relationships with just a few clicks!
March 4, 2025 at 8:56 AM
Excited to present at #ShinyConf! My app uses {wbids} to visualize international debt networks from World Bank International Debt Statistics (IDS) data. Explore global financial relationships with just a few clicks!
📢 New R package on CRAN: {owidapi}! Easily pull chart data from @ourworldindata.org into R: fetch data, explore datasets & embed charts in docs & Shiny apps (experimental). Feedback & ideas welcome 🙏
February 28, 2025 at 7:57 AM
📢 New R package on CRAN: {owidapi}! Easily pull chart data from @ourworldindata.org into R: fetch data, explore datasets & embed charts in docs & Shiny apps (experimental). Feedback & ideas welcome 🙏
Thrilled to teach "Data Science for Empirical Finance" at BSE Summer School this July! Link to details here:
bse.eu/summer-schoo...
bse.eu/summer-schoo...
January 24, 2025 at 10:47 AM
Thrilled to teach "Data Science for Empirical Finance" at BSE Summer School this July! Link to details here:
bse.eu/summer-schoo...
bse.eu/summer-schoo...
We’re writing new Tidy Finance chapters and needed company fundamentals data. Financial Modeling Prep (FMP) stood out for its beginner-friendly free tier and flexible subscriptions.
December 20, 2024 at 10:02 AM
We’re writing new Tidy Finance chapters and needed company fundamentals data. Financial Modeling Prep (FMP) stood out for its beginner-friendly free tier and flexible subscriptions.
Beta hat still one hilarious piece of swag for econometricians
December 14, 2024 at 10:40 PM
Beta hat still one hilarious piece of swag for econometricians
Join me tomorrow, December 4th, 2024, at 12:00 pm ET for the final Tidy Finance webinar with the R Consortium. I’ll introduce a practical approach to company valuation using the DCF method, with a step-by-step guide from financial data preparation to sensitivity analysis of key assumptions.
December 3, 2024 at 9:51 AM
Join me tomorrow, December 4th, 2024, at 12:00 pm ET for the final Tidy Finance webinar with the R Consortium. I’ll introduce a practical approach to company valuation using the DCF method, with a step-by-step guide from financial data preparation to sensitivity analysis of key assumptions.
With our new {wbids} package, analyzing international debt networks has never been easier. In a new blog post, I share the code to create interactive network visualizations using R to explore these relationships.
December 2, 2024 at 6:35 AM
With our new {wbids} package, analyzing international debt networks has never been easier. In a new blog post, I share the code to create interactive network visualizations using R to explore these relationships.
New package released to CRAN 🎉 Over the past few weeks @tealemery.bsky.social and I have collaborated on a new R package designed to work with International Debt Statistics from the World Bank. A thread on a why we believe this package meets high quality standards and is useful for data analysts 👇
November 17, 2024 at 2:58 PM
New package released to CRAN 🎉 Over the past few weeks @tealemery.bsky.social and I have collaborated on a new R package designed to work with International Debt Statistics from the World Bank. A thread on a why we believe this package meets high quality standards and is useful for data analysts 👇