Unlock the power of spatial analysis using CARTO and python [CARTOframes]

Sep 27, 20192 likes962 views

In this webinar, learn how to integrate spatial data and analysis to your data science models using CARTOframes—a Python package that allows data scientists to seamlessly integrate CARTO maps, data, and analysis into their current environment. Watch the recorded at: https://go.carto.com/webinars/spatial-analysis-carto-python-recorded

Unlock the Power of
Spatial Analysis using
CARTO and Python
This webinar is about to start at 1PM EDT / 7PM CEST
Use the Chat Panel in GoToWebinar for questions, comments or feedback
Recording will be emailed within 1-3 business days after the webinar
Follow @CARTO on Twitter!

CARTO — Turn Location Data into Business Outcomes
Introductions
Andy Eschbacher
Senior Data Scientist
César Monteserín
Product Manager

CARTO — Turn Location Data into Business Outcomes
Table of Contents
● Why has CARTO built a library for data scientists?
● CARTOframes: big picture
● CARTOframes: step by step
● Demo
● Q&A

CARTO — Turn Location Data into Business Outcomes
Why?
Reduce context switching

CARTO — Turn Location Data into Business Outcomes
Why?
20%
Data Analysis
80%
Data Preparation

CARTO — Turn Location Data into Business Outcomes
Why?
80%
Data Analysis
20%
Data Preparation

CARTO — Turn Location Data into Business Outcomes
Powering end-to-end data science
workﬂows
Explore Enrich Analyze Share
Clean, geocode and
visualize your data
straight out of Jupyter
notebooks.
Access a wide range
of datasets—all on
standardized spatial
aggregations to
reduce your time to
insight.
Get insights from
your data using our
API and your own
libraries, functions,
and workﬂows.
Once your analysis
is done, add widgets
and share your
results.

CARTO — Turn Location Data into Business Outcomes
➔ Get your data ready
➔ Visualize
● Geocode large datasets in just one
request
● Create isochrones for your points
● Local data and hosted datasets
● Maps with several layers
● Custom basemaps
● Legends, pop-ups and widgets
● Layouts
1. Explore

CARTO — Turn Location Data into Business Outcomes
➔ Discover and enrich your data
● Direct access to our Data Observatory
● Open and premium datasets
● Discover the data you need
○ By category
○ By country
○ By geography
● Check stats about available datasets
● Request a dataset
● Enrich your dataframe (points or
polygons)
2. Enrich

CARTO — Turn Location Data into Business Outcomes
3. Analyze
➔ Feature engineering (soon)
➔ Spatial projection (soon)
We are working to help you productize your
workﬂows and reduce your data preparation
time, enabling you to focus on your analysis.

CARTO — Turn Location Data into Business Outcomes
➔ Prepare your analysis output
➔ Publish
● Make your analysis easy to consume by
others in your organization by adding
widgets: histogram, category,
animation control, time series.
● Publish your map to CARTO and get
the shareable link as response.
4. Share

Thanks for listening!
Any questions?
Request a demo at CARTO.COM
César Monteserín
Product Manager // cmonteserin@carto.com
Andy Eschbacher
Senior Data Scientist // andy@carto.com

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Unlock the power of spatial analysis using CARTO and python [CARTOframes]

1. Unlock the Power of Spatial Analysis using CARTO and Python This webinar is about to start at 1PM EDT / 7PM CEST Use the Chat Panel in GoToWebinar for questions, comments or feedback Recording will be emailed within 1-3 business days after the webinar Follow @CARTO on Twitter!

2. CARTO — Turn Location Data into Business Outcomes Introductions Andy Eschbacher Senior Data Scientist César Monteserín Product Manager

3. CARTO — Turn Location Data into Business Outcomes Table of Contents ● Why has CARTO built a library for data scientists? ● CARTOframes: big picture ● CARTOframes: step by step ● Demo ● Q&A

4. CARTO — Turn Location Data into Business Outcomes Why? Reduce context switching

5. CARTO — Turn Location Data into Business Outcomes Why? 20% Data Analysis 80% Data Preparation

6. CARTO — Turn Location Data into Business Outcomes Why? 80% Data Analysis 20% Data Preparation

7. CARTO — Turn Location Data into Business Outcomes Powering end-to-end data science workﬂows Explore Enrich Analyze Share Clean, geocode and visualize your data straight out of Jupyter notebooks. Access a wide range of datasets—all on standardized spatial aggregations to reduce your time to insight. Get insights from your data using our API and your own libraries, functions, and workﬂows. Once your analysis is done, add widgets and share your results.

8. CARTO — Turn Location Data into Business Outcomes ➔ Get your data ready ➔ Visualize ● Geocode large datasets in just one request ● Create isochrones for your points ● Local data and hosted datasets ● Maps with several layers ● Custom basemaps ● Legends, pop-ups and widgets ● Layouts 1. Explore

9. CARTO — Turn Location Data into Business Outcomes ➔ Discover and enrich your data ● Direct access to our Data Observatory ● Open and premium datasets ● Discover the data you need ○ By category ○ By country ○ By geography ● Check stats about available datasets ● Request a dataset ● Enrich your dataframe (points or polygons) 2. Enrich

10. CARTO — Turn Location Data into Business Outcomes 3. Analyze ➔ Feature engineering (soon) ➔ Spatial projection (soon) We are working to help you productize your workﬂows and reduce your data preparation time, enabling you to focus on your analysis.

11. CARTO — Turn Location Data into Business Outcomes ➔ Prepare your analysis output ➔ Publish ● Make your analysis easy to consume by others in your organization by adding widgets: histogram, category, animation control, time series. ● Publish your map to CARTO and get the shareable link as response. 4. Share

12. Thanks for listening! Any questions? Request a demo at CARTO.COM César Monteserín Product Manager // [email protected] Andy Eschbacher Senior Data Scientist // [email protected]

Unlock the power of spatial analysis using CARTO and python [CARTOframes]

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