BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//NYCDH Week - ECPv6.15.17//NONSGML v1.0//EN
CALSCALE:GREGORIAN
METHOD:PUBLISH
X-ORIGINAL-URL:https://nycdh.org/dhweek
X-WR-CALDESC:Events for NYCDH Week
REFRESH-INTERVAL;VALUE=DURATION:PT1H
X-Robots-Tag:noindex
X-PUBLISHED-TTL:PT1H
BEGIN:VTIMEZONE
TZID:America/New_York
BEGIN:DAYLIGHT
TZOFFSETFROM:-0500
TZOFFSETTO:-0400
TZNAME:EDT
DTSTART:20210314T070000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:-0400
TZOFFSETTO:-0500
TZNAME:EST
DTSTART:20211107T060000
END:STANDARD
BEGIN:DAYLIGHT
TZOFFSETFROM:-0500
TZOFFSETTO:-0400
TZNAME:EDT
DTSTART:20220313T070000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:-0400
TZOFFSETTO:-0500
TZNAME:EST
DTSTART:20221106T060000
END:STANDARD
BEGIN:DAYLIGHT
TZOFFSETFROM:-0500
TZOFFSETTO:-0400
TZNAME:EDT
DTSTART:20230312T070000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:-0400
TZOFFSETTO:-0500
TZNAME:EST
DTSTART:20231105T060000
END:STANDARD
END:VTIMEZONE
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20220210T150000
DTEND;TZID=America/New_York:20220210T170000
DTSTAMP:20260531T161110
CREATED:20220127T182119Z
LAST-MODIFIED:20220209T150310Z
UID:7067-1644505200-1644512400@nycdh.org
SUMMARY:The Web Is All You Need: A Data Analysis Stack for the 2020s
DESCRIPTION:For most of the last decade digital humanists doing data analysis have chosen between R and Python. But in the past few years\, the Javascript ecosystem has blossomed in a way that makes it a viable–and dare I say\, fun–way to collaboratively share\, explore\, and analyze data. Students don’t need to install anything to start a lesson\, collaborators can work directly with you in real time\, and anyone who can code can easily add interactive sliders\, controls to unlock datasets for others. \nThis workshop will provide an introduction to building and sharing data analysis for and of the web using observable notebooks. We’ll explore the basic platform\, and how it improves on python- or r-based notebooks you may have used; introduce the arquero and vega-lite packages that allow data manipulation and visualization; and talk about some strategies for making even the largest datasets explorable to anyone with a smartphone.
URL:https://nycdh.org/dhweek/event/the-web-is-all-you-need-a-data-analysis-stack-for-the-2020s/
LOCATION:Online\, New York\, NY\, United States
CATEGORIES:2022,Data Analysis,Mapping,Visualization,Workshop
ORGANIZER;CN="Ben Schmidt":MAILTO:bmschmidt@gmail.com
END:VEVENT
END:VCALENDAR