"To understand something, write about it," they say. I'm curious. So I started writing: first on my personal blog, mostly about data vis when I got into the field around 2014. There was so much to learn! Since November 2017, I get paid by Datawrapper to do just that: Figuring things out, and taking you all on a tour with me:
Hi! My name is Lisa 
.
I write, create, talk & host events about data vis, currently for Datawrapper in Berlin.
Here's what I've worked on.
November 2023
on Datawrapper ↗
How to get started with data visualization
A very subjective but practical guide (with exercises!) about what to do when you want to get into data vis.
July 2022
on Datawrapper ↗
How to choose an interpolation for your color scale
How to assign each of your data values to a certain color.
July 2021
on Datawrapper ↗
In defense of simple charts
I’m here to tell you that simple charts are great. That they’re necessary. Underappreciated. And that you should be proud of yourself if you create simple charts.
February 2021
A data vis crossword puzzle!
Find the 13 vis types, 5 tools, 14 people, and 22 concepts from the field of data vis and win a data vis book.
September 2020
on Datawrapper ↗
How to pick more beautiful colors for your data visualizations
Common color mistakes and how to avoid them
October 2018
One Chart, Nine Tools – Revisited
2.5 years ago I recreated the same chart with 24 different charting tools. It's time to revisit some of them.
September 2016
How I Feel When I Learn To Code
Aaaall the feels: Pride, Panic, Despair, Overwhelm, Annoyance.
April 2016
Map vs. Territory
"Everything simple is false. Everything which is complex is unusable." – Paul Valéry
December 2015
Meaning + Beauty in Data Vis and Data Art
In Data Vis, we should see aesthetics as a tool to increase understanding. In Data Art, we can see aesthetics as the purpose.
Selected projects
Before delving into data vis, I studied print design for six years. Here you can find some of these older works, but also data visualizations I've created for newsrooms, in my free time, and, most recently, for the Datawrapper blog:
2025
for Datawrapper
Datawrapper visualizations I created in 2025 (so far)
World records, population growth, and German baby boomers: What I visualized for Datawrapper in 2025.
2024
on Datawrapper ↗
We’re waiting longer than ever for our favorite TV shows to return
Since the early 2000s, wait times between seasons have gone up.
2023
on Datawrapper ↗
The most common baby names are far less common these days
In 1880, every 12th boy in the U.S. was named John. Things have changed.
2021
on Datawrapper ↗
Years, months, days, and hours — in one chart
A chart experiment: Different time scales in a single time series.
2016
Which Cities Are On Similar Latitudes?
A simple visualization that removes data to let us see more.
2016
for SPIEGEL
Back then, everything was worse.
Illustrating a weekly graphic for a column in the German magazine DER SPIEGEL.
2015
My Google Search History – visualized
I visualized the 40,000 search queries I asked Google between June 2010 and April 2015.
2014
Data Vis in my Master's Thesis
During my master's thesis, I redesigned three magazines in three different styles. Here are the pages that involve the best infographics.
2013
Documentation of my internship at Bloomberg Businessweek
In spring 2013, I spent eleven wonderful weeks as an intern at the Bloomberg Businessweek in New York City.
Organized events
I started going to conferences and meetups about data visualization as soon as I had the epiphany that "Whoa, this is a real field, and people actually do this for a living!" At some point, I wanted to bring data vis enthusiasts together myself – to meet them, but to also give back to a community that had given me so much. So far, I’ve organized three things:
March 2024
for Datawrapper
Unwrapped, a Datawrapper conference
3 days, 33 speakers, 1400 sign-ups: The first conference I organized.
January 2018
for Datawrapper
Data Vis Book Club
15 virtual, introvert-friendly book club discussions about data vis books.
January 2014
Data Vis Meetup Berlin
Between 2014 and the pandemic, I (co-)organized the data vis meetup Berlin.
Selected talks
Talks let me combine images (slides) and text (my speech) in a more tension-building, direct way than blog posts. I taught data vis at different universites and have given general data vis workshops over the years – but here you can find the talks I used as an excuse to research a completely new question:
May 2017
at Republica
Why We Don't Believe In Facts, And How To Fix That
It's not about truth vs lie, it's about them vs us. Plus some data vis that made me think.
March 2017
at INCH
Why do we visualize data?
Categorising the different reasons for visualizing data, and looking at examples & different industries on the way.
December 2016
at CCC & OpenVisConf
A Data Point Walks Into a Bar
"If I look at the mass I will never act. If I look at the one, I will." A look at data (vis) vs anecdotes.
October 2016
at NACIS
Map Poetry
Drawing our internal maps lets us explore how we and others see the world.
October 2016
at the GeoNYC Meetup
Making Election Maps Popular Again
Why we should map the popular votes, even in US elections.
June 2016
at Information+
Less News, More Context
"With which information can my audience navigate this world better?" Looking at goals of journalism, and how data vis fits in.
About me
Lisa Charlotte Muth is a Berlin-based writer for the data visualization tool Datawrapper. Before that, she studied graphic design for six years and created data visualizations for newsrooms like Tagesspiegel, Bloomberg, SPIEGEL, ZEIT Online, and NPR as an OpenNews Fellow. She co-hosted the Berlin Data Vis meetup, started the global, digital Data Vis Book Club, writes a handbook, and tries to live a good life.