data-viz
Skill4 starsChanged 5 months agoMITView on GitHub
Create data visualizations from the command line. Generate charts, graphs, and plots from CSV/JSON data without leaving the terminal.
9 other projects use a version of this.
Adopted by
Most recently taken up by
- CatCatUncle/openworkbuddytheir own version, first seen Nov 5, 2026
- KyaniteLabs/tastechecktheir own version, first seen Nov 2, 2026
- kudeerliu48-web/CloseCodetheir own version, first seen Nov 1, 2026
- langchain-ai/design-agenttheir own version, first seen Oct 25, 2026
- jakelherridge/apd-storytelling-systemtheir own version, first seen Oct 20, 2026
- jessegrabowski/claude_skillstheir own version, first seen Oct 15, 2026
Used with
Projects with it also use deep-research.
Other files people use alongside this one.
Files found in the same public projects as a version of this one, more often than they turn up anywhere else. Each project counts once, large collections count for less, and this file's own repository is left out.
NVIDIASkilldeep-research
Queue deep, multi-step research and analysis tasks to the DeepAgents worker. Supports execution depth presets, request-specific rubrics, SubAgent delegation, and RubricMiddleware cross-validation.
Also in 3 projects that use this
Other versions9 projects use a version of this.
Word for word · 0
None found.
Edited · 0
None found.
Wrote their own version · 9
- langchain-ai/design-agent★ 596same name
- CatCatUncle/openworkbuddy★ 398same name
- kudeerliu48-web/CloseCode★ 14same name
- KyaniteLabs/tastecheck★ 12same name
- kevinaimonster/skill-hub★ 4same name
- AdamsukS/data-viz-skill★ 1same name
- jakelherridge/apd-storytelling-system★ 0same name
- jessegrabowski/claude_skills★ 0same name
- jordiportal/brain-skills★ 0same name
How matches are found. Word for word: the exact same text. Edited: shares passages with this file (“99% same” means 99% of its five-word phrases also appear here; 10% or more counts). Their own version: similar meaning, or, weakest, the same name. We can’t tell which project had it first. Projects are counted among the 200 most-starred candidates, and mentions are links to the repository we found, up to 50 per site, so both counts are a floor.
In this repository16 other files it gives its agents.
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The file
We split this skill into the rules it gives an agent
4 rules. 0 are common, 1 is distinctive, and 3 are very specific to this project.
0
Common
Most of the 6 edited versions we read keep these.
1
Distinctive
This author's own choices. Worth a look.
3
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Distinctive: line 48
Create terminal-based charts and visualizations from CSV, JSON, or piped data.
- Very specific: line 179
Use -d, for comma-delimited data, -d'\t' for tabs
- Very specific: line 180
Use -H when your data has headers
- Very specific: line 183
Use watch for live updating charts: watch -n1 'command | uplot bar'
“Common” is measured: kept by at least 6 in 10 of the 6 edited versions of this file we could read. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
Data Visualization
Create terminal-based charts and visualizations from CSV, JSON, or piped data.
Quick Visualizations with YouPlot
YouPlot (uplot) creates Unicode charts in the terminal.
Bar Chart
echo -e "Apple,30\nBanana,45\nCherry,20\nDate,35" | uplot bar -d, -t "Fruit Sales"Line Chart
seq 1 20 | awk '{print $1, sin($1/3)*10+10}' | uplot line -t "Sine Wave"Histogram
awk 'BEGIN{for(i=0;i<1000;i++)print rand()}' | uplot hist -t "Random Distribution" -n 20Scatter Plot
awk 'BEGIN{for(i=0;i<100;i++)print rand()*100, rand()*100}' | uplot scatter -t "Random Points"From CSV Files
# Bar chart from CSV
cat sales.csv | uplot bar -d, -H -t "Monthly Sales"
# Line chart with headers
cat timeseries.csv | uplot line -d, -H -t "Stock Price"From JSON (with jq)
# Extract data from JSON and plot (CoinGecko markets as a live example)
curl -s "https://api.coingecko.com/api/v3/coins/markets?vs_currency=usd&order=market_cap_desc&per_page=10&page=1" \
| jq -r '.[] | "\(.symbol),\(.current_price)"' | uplot bar -d,Termgraph (Python Alternative)
Simple horizontal bar charts:
echo -e "2020 50\n2021 75\n2022 90\n2023 120" | termgraphWith colors:
echo -e "Sales 150\nCosts 80\nProfit 70" | termgraph --color greenGnuplot (Advanced)
For publication-quality charts:
# Quick line plot
gnuplot -e "set terminal dumb; plot sin(x)"
# From data file
gnuplot -e "set terminal dumb; plot 'data.txt' with lines"Sparklines
Inline mini-charts:
# Using spark (if installed)
echo "1 5 22 13 5" | spark
# Output: ▁▂█▅▂
# Pure bash sparkline
data="1 5 22 13 5"; min=$(echo $data | tr ' ' '\n' | sort -n | head -1); max=$(echo $data | tr ' ' '\n' | sort -n | tail -1); for n in $data; do printf "\u258$((7-7*($n-$min)/($max-$min)))"; done; echoASCII Tables
Format data as tables:
# Using column
echo -e "Name,Score,Grade\nAlice,95,A\nBob,82,B\nCarol,78,C" | column -t -s,
# Using csvlook (csvkit)
cat data.csv | csvlookReal-World Examples
Stock Price Chart
# Fetch and plot stock data (using Alpha Vantage free API)
curl -s "https://www.alphavantage.co/query?function=TIME_SERIES_DAILY&symbol=AAPL&apikey=demo" | \
jq -r '.["Time Series (Daily)"] | to_entries | .[:20] | reverse | .[] | "\(.key) \(.value["4. close"])"' | \
uplot line -t "AAPL Stock Price"System Metrics
# CPU usage over time
for i in {1..20}; do
top -bn1 | grep "Cpu(s)" | awk '{print 100-$8}'
sleep 1
done | uplot line -t "CPU Usage %"API Response Times
# Measure and plot response times
for i in {1..10}; do
curl -s -o /dev/null -w "%{time_total}\n" https://example.com
done | uplot line -t "Response Time (s)"Tips
- Use
-d,for comma-delimited data,-d'\t'for tabs - Use
-Hwhen your data has headers - Pipe through
headortailto limit data points - Combine with
jqfor JSON data extraction - Use
watchfor live updating charts:watch -n1 'command | uplot bar'
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