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Data visualization charts made mostly with Python, matplotlib, pandas, and numpy, and some scipy, plotly, seaborn, holoviews bokeh, streamlit, and R. Dataviz on Twitter. #30DayChartChallenge

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30DayChartChallenge 2022

Hi, this was my first try at learning about data visualization, aside from a few matplotlib and Seaborn (Python) and d3.js (JavaScript) graphs I'd made earlier. Encouraged and inspired by the #30DayChartChallenge Twitter community, I experimented, had fun, and gained skills in finding data sources, differentiating the various kinds of charts, using pandas and numpy to work with the data, and writing matplotlib code. A couple of the projects also use scipy, plotly, seaborn, holoviews bokeh, streamlit, or R.

Intro to the 30 Day Chart Challenge

Comparisons Distributions Relationships Timeseries Uncertainties
01 part-to-whole 07 physical 13 correlation 19 global change 25 trend
02 pictogram 08 mountains 14 3-dimensional 20 new tool 26 interactive
03 historical 09 statistics 15 multivariate 21 down/upwards 27 future
04 flora 10 experimental 16 environment 22 animation 28 deviations
05 slope 11 circular 17 connections 23 tiles 29 storytelling
06 data day: OWID 12 theme day: The Economist 18 data day: OECD 24 theme day: Financial Times 30 data day: UN Population

COMPARISONS

Part to Whole (Day 1)

Sunburst Chart - about - code

Pictogram (Day 2)

Pictogram - about - code

Historical (Day 3)

Historical Timeline - about - code

Flora (Day 4)

Treemap - about - code

Slope (Day 5)

Slope Chart - about - code

Data OWID (Day 6)

Relational Plot - about - code

DISTRIBUTIONS

Physical (Day 7)

Bar Graph - about - code

Mountains (Day 8)

Ridgeline Plot - about - code

Statistics (Day 9)

Histogram, Poisson Distribution - about - code

Experimental (Day 10)

Word Tree - about - code

Circular (Day 11)

Circles - about - code

Theme The Economist (Day 12)

Stacked Bar Chart - about - code

RELATIONSHIPS

Correlation (Day 13)

Heat Map, Regression Plot - about - code

3D (Day 14)

Scatter Plot - about - code

Multivariate (Day 15)

Pairplot - about - code

Environment (Day 16)

Line Graph - about - code

Connections (Day 17)

Chord Diagram - about - code

Data: OECD(Day 18)

Bubble Plot - about - code

TIMESERIES

Global Change (Day 19)

Time Series Chart - about - code

New Tool (Day 20)

Stacked Area Chart - about - code

Down/Upwards (Day 21)

Candlestick Chart - about - code

Animation (Day 22)

Animated Line Graph - about - code

Tiles (Day 23)

Tile Map - about - code

Theme Financial Times (Day 24)

Time Series Graph - about - code

UNCERTAINTIES

Trend (Day 25)

Interactive (Day 26)

Pictogram, Bar Chart - about - code

Future (Day 27)

Deviations (Day 28)

Storytelling (Day 29)

Data: UN Population (Day 30)

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Data visualization charts made mostly with Python, matplotlib, pandas, and numpy, and some scipy, plotly, seaborn, holoviews bokeh, streamlit, and R. Dataviz on Twitter. #30DayChartChallenge

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