MOM, I WANT TO BE A DATA ARTIST

@alrocar

DISCLAIMER!

This is NOT a Python workshop

This is NOT a visualization cookbook

@alrocar

https://showyourstripes.info/

@alrocar

DATA

METHODOLOGY

TECHNIQUE

@alrocar

 https://warningstripes.com/

@alrocar

DATA ARTISTS

@alrocar

DATA ARTISTS

@alrocar

https://twitter.com/alrocar/lists/data-artists/members

DATA JOURNALISTS

DATA SCIENTISTS

CARTOGRAPHERS

https://twitter.com/sarahslo/lists/women-in-dataviz

@alrocar

SOURCE: MYSELF

@alrocar

MOM, I WANT TO BE A DATA ARTIST

@alrocar

DISCLAIMER!

There's not just one path

Data viz is f***ing hard

@alrocar

TECH SKILLS

KNOWLEDGE BASE: STATS, ML, SPATIAL...

TOOLS: PYTHON, SQL, JAVASCRIPT...

PLATFORMS: CARTO, ADOBE...

ART: PHOTOGRAPHY, WRITING, DESIGN...

@alrocar

SOFT SKILLS

PASSION

PATIENCE

COMMUNICATION

LISTEN!

ETHICS

@alrocar

HOW DO I LEARN?

THE "IMPRACTICAL" PATH

@alrocar

HOW DO I LEARN?

DO IT FOR FUN

@alrocar

HOW DO I LEARN?

THE FRANK ABAGNALE JR. METHOD TO LEARN VISUALIZATION TECHNIQUES

@alrocar

Layer composition and blending

@alrocar

https://github.com/alrocar/carto-nba

Layer composition and blending

SQL and spatial
Halos, blurry effect, etc.
CARTO Python SDK

Correlations

@alrocar

Visualization feature engineering

@alrocar

Visualization feature engineering

Hierarchy: Strahler coefficient
Azimuth styling

Tanaka style

@alrocar

Spatial processing

Contour lines, polygonize (GDAL Python bindings)
Segmentize
Azimuth styling

Animations

@alrocar

Animating the 4 color theorem

https://carto.com/developers

CARTO as a PLATFORM

@alrocar

# NOT WORKING CODE, JUST TO ILLUSTRATE HOW THIS FITS IN PYTHON
from cartoframes.viz import Map, Layer
from cartoframes.data import Dataset
import pandas

# DATA ACQUISITION AND INGESTION
df = pandas.read_csv(csv_file)
carto_table = "my_data"
Dataset(df).upload(table_name=carto_table)

# DATA ANALYSIS AND TRANSFORMATION
sql = "SELECT ... SOME SPATIAL ANALYSIS"
dataset = Dataset.create_from_query(sql, carto_table)

# VISUALIZATION
m = Map([
      Layer(
          dataset,
          ```
              color: ramp($column_name, bold)
              width: 15
              symbol: cross
          ```
      )
  ])
  
# SHARE IT
m.publish()

https://carto.com/developers/cartoframes/examples/

everything is related to everything else, but near things are more related than distant things"

you will learn from anyone, but you are more likely to learn from near folks than from distant ones"

@mamataakella

@xurxosanz

@ ramiroaznar

@alrocar

GRACIAS

@alrocar