Media Summary: With the availability of powerful but relatively low-level plotting libraries like d3.js, plot.ly, and matplotlib, it is easier than it has ever ... Companies and teams use a blend of data analysis tools. This can make it hard to collaborate, build good workflows, or effectively ... In this talk, Warren will discuss how he and his team at the U.S. Treasury's Office of Financial Research leveraged HighCharts.js to ...

Plotcon 2016 Haley Jeppson Visualizing - Detailed Analysis & Overview

With the availability of powerful but relatively low-level plotting libraries like d3.js, plot.ly, and matplotlib, it is easier than it has ever ... Companies and teams use a blend of data analysis tools. This can make it hard to collaborate, build good workflows, or effectively ... In this talk, Warren will discuss how he and his team at the U.S. Treasury's Office of Financial Research leveraged HighCharts.js to ... As the challenges of protecting global food supply chains become more complex, the technical approaches being used to ... Text is one of the most interesting and varied data sources on the web and beyond, but it is one of the most difficult to deal with ... If you are struggling to make a plot, tear yourself away from stackoverflow for a moment and ... take a hard look at your data.

Photo Gallery

PLOTCON 2016: Haley Jeppson, Visualizing Multivariate Categorical Data
PLOTCON 2016: Nathan Goldbaum, Domain specific visualization
PLOTCON 2016: Matt Sundquist and Ben Jones, Tableau & Plotly for Collaboration
PLOTCON 2016: Eduardo Ariño de la Rubia, 23 Visualizations and When to Use Them in 30 Minutes
PLOTCON 2016: Scott Sanderson, Self-Visualizing Systems
PLOTCON 2016: Kristen Thyng, Custom Colormaps for Your Field
PLOTCON 2016: Hadley Wickham, New open viz in R
PLOTCON 2016: Warren Reed, Building Data Products to Visualize New Financial Datasets
PLOTCON 2016: Peter Wang, Interactive Viz of a Billion Points with Bokeh Datashader
PLOTCON 2016: Kristen Beck, Bringing microscopic data to life using R Markdown and Plotly
PLOTCON 2016: Mollie Pettit & Jess Freane, Get Your Point Across
PLOTCON 2016: Safia Abdalla, Storytelling for Society's Sake: nteract and Data Visualization
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PLOTCON 2016: Haley Jeppson, Visualizing Multivariate Categorical Data

PLOTCON 2016: Haley Jeppson, Visualizing Multivariate Categorical Data

Visualizing

PLOTCON 2016: Nathan Goldbaum, Domain specific visualization

PLOTCON 2016: Nathan Goldbaum, Domain specific visualization

With the availability of powerful but relatively low-level plotting libraries like d3.js, plot.ly, and matplotlib, it is easier than it has ever ...

Sponsored
PLOTCON 2016: Matt Sundquist and Ben Jones, Tableau & Plotly for Collaboration

PLOTCON 2016: Matt Sundquist and Ben Jones, Tableau & Plotly for Collaboration

Companies and teams use a blend of data analysis tools. This can make it hard to collaborate, build good workflows, or effectively ...

PLOTCON 2016: Eduardo Ariño de la Rubia, 23 Visualizations and When to Use Them in 30 Minutes

PLOTCON 2016: Eduardo Ariño de la Rubia, 23 Visualizations and When to Use Them in 30 Minutes

Data

PLOTCON 2016: Scott Sanderson, Self-Visualizing Systems

PLOTCON 2016: Scott Sanderson, Self-Visualizing Systems

Data

Sponsored
PLOTCON 2016: Kristen Thyng, Custom Colormaps for Your Field

PLOTCON 2016: Kristen Thyng, Custom Colormaps for Your Field

Visualizations

PLOTCON 2016: Hadley Wickham, New open viz in R

PLOTCON 2016: Hadley Wickham, New open viz in R

Visualisation

PLOTCON 2016: Warren Reed, Building Data Products to Visualize New Financial Datasets

PLOTCON 2016: Warren Reed, Building Data Products to Visualize New Financial Datasets

In this talk, Warren will discuss how he and his team at the U.S. Treasury's Office of Financial Research leveraged HighCharts.js to ...

PLOTCON 2016: Peter Wang, Interactive Viz of a Billion Points with Bokeh Datashader

PLOTCON 2016: Peter Wang, Interactive Viz of a Billion Points with Bokeh Datashader

Visualization

PLOTCON 2016: Kristen Beck, Bringing microscopic data to life using R Markdown and Plotly

PLOTCON 2016: Kristen Beck, Bringing microscopic data to life using R Markdown and Plotly

As the challenges of protecting global food supply chains become more complex, the technical approaches being used to ...

PLOTCON 2016: Mollie Pettit & Jess Freane, Get Your Point Across

PLOTCON 2016: Mollie Pettit & Jess Freane, Get Your Point Across

Why does one decide to

PLOTCON 2016: Safia Abdalla, Storytelling for Society's Sake: nteract and Data Visualization

PLOTCON 2016: Safia Abdalla, Storytelling for Society's Sake: nteract and Data Visualization

While

PLOTCON 2016: Irene Ros, Text is data! Analysis and visualization methods

PLOTCON 2016: Irene Ros, Text is data! Analysis and visualization methods

Text is one of the most interesting and varied data sources on the web and beyond, but it is one of the most difficult to deal with ...

PLOTCON 2016: Jenny Bryan, Behind every great plot there's a great deal of wrangling

PLOTCON 2016: Jenny Bryan, Behind every great plot there's a great deal of wrangling

If you are struggling to make a plot, tear yourself away from stackoverflow for a moment and ... take a hard look at your data.

PLOTCON 2016: Kristen Sosulski, The Future of Business Intelligence: Data Visualization

PLOTCON 2016: Kristen Sosulski, The Future of Business Intelligence: Data Visualization

How can data

PLOTCON 2017: Aneesh Karve, Visualization without Guesswork

PLOTCON 2017: Aneesh Karve, Visualization without Guesswork

Until recently, guidelines for

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