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DataBasic.io Blog | About Our Tools and Activities for Learning to Work with Data

About Our Tools and Activities for Learning to Work with Data. Skip to primary content. Skip to secondary content. Designing Tools for Learners (Not Users). We (Catherine and Rahul) just co-authored an article in the Journal of Community Informatics called Design Principles, Tools and Activities for Data Literacy Learners. We offer four qualities that a tool designed for learners should aspire to be: focused. And we go on to talk about DataBasic as a case study. Here are the four qualities:. Tool is intr...

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About Our Tools and Activities for Learning to Work with Data. Skip to primary content. Skip to secondary content. Designing Tools for Learners (Not Users). We (Catherine and Rahul) just co-authored an article in the Journal of Community Informatics called Design Principles, Tools and Activities for Data Literacy Learners. We offer four qualities that a tool designed for learners should aspire to be: focused. And we go on to talk about DataBasic as a case study. Here are the four qualities:. Tool is intr...
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DataBasic.io Blog | About Our Tools and Activities for Learning to Work with Data | blog.databasic.io Reviews

https://blog.databasic.io

About Our Tools and Activities for Learning to Work with Data. Skip to primary content. Skip to secondary content. Designing Tools for Learners (Not Users). We (Catherine and Rahul) just co-authored an article in the Journal of Community Informatics called Design Principles, Tools and Activities for Data Literacy Learners. We offer four qualities that a tool designed for learners should aspire to be: focused. And we go on to talk about DataBasic as a case study. Here are the four qualities:. Tool is intr...

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DataBasic.io Blog | About Our Tools and Activities for Learning to Work with Data | Page 2

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About Our Tools and Activities for Learning to Work with Data. Skip to primary content. Skip to secondary content. Newer posts →. One Week of DataBasic.io. January 19, 2016. We launched DataBasic.io. Just one week ago and would love to share some of how our first week went. More than 4000 people. Tried out DataBasic.io in just our first week 🙂. First up, we got some great press online; from Matt Carroll’s review. To the MIT Media Lab to the UN in Jakarta! Mdash; MIT Media Lab (@medialab) January 16, 2016.

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DataBasic at Boston Civic Media | DataBasic.io Blog

http://blog.databasic.io/2016/06/23/databasic-at-boston-civic-media

About Our Tools and Activities for Learning to Work with Data. Skip to primary content. DataBasic at Boston Civic Media. June 23, 2016. Rahul recently led a short workshop on DataBasic at the Boston Civic Media annual meeting. The 1 hour hands-on session focused on how to use the arts to tell your civic data story. Curious about how to use the arts to tell your civic data story? Wondering how to use the arts to help learn how to work with data? This entry was posted in Uncategorized.

3

Our round-up of Databasic workshops and demos from Spring 2016 | DataBasic.io Blog

http://blog.databasic.io/2016/05/04/our-round-up-of-databasic-workshops-and-demos-from-spring-2016

About Our Tools and Activities for Learning to Work with Data. Skip to primary content. Our round-up of Databasic workshops and demos from Spring 2016. May 4, 2016. This has been an eventful spring for Databasic! After launching in January to great success. We have been traveling to classes, conferences and workshops to help different groups of people learn about working with data. Which they later presented to guests from the City of Boston and State of MA. The Institute for Infinitely Small Things.

4

v1.2.0: New Features and Bug Fixes | DataBasic.io Blog

http://blog.databasic.io/2016/03/02/v1-2-0-new-features-and-bug-fixes

About Our Tools and Activities for Learning to Work with Data. Skip to primary content. V120: New Features and Bug Fixes. March 2, 2016. We just released a new version of DataBasic – version 1.2.0! Yeah, it doesn’t sound that exciting but trust us, there is some good stuff here 🙂. CSV parsing is now much more robust. We’ve added the idea of “normalization” to SameDiff. We cleaned up some of our sample data. We sped up everything. Go try it out now at databasic.io. This entry was posted in Uncategorized.

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Big Data and Development at the MIT Media Lab | DataBasic.io Blog

http://blog.databasic.io/2016/07/12/big-data-and-development-at-mit-media-lab

About Our Tools and Activities for Learning to Work with Data. Skip to primary content. Big Data and Development at the MIT Media Lab. July 12, 2016. We conducted a workshop as part of the Data-Pop Alliance’s. Global Professional Training Program on Big Data and Development at the MIT Media Lab. Data-Pop’s program focuses on building capacity for working with data for global professionals who are involved in development work and policymaking. You can read more about their approach here. Public engagement...

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databasic.io databasic.io

WordCounter

https://www.databasic.io/en/wordcounter

Choose your language: en. WordCounter analyzes your text and tells you the most common words and phrases. This tool helps you count words, bigrams. In plain text. This is often the first step in quantitative text analysis. Are you an Educator? Try our Activity Guide. DataBasic activities are suitable for classes and workshops for participants from middle school through higher education. No prior data experience necessary!

databasic.io databasic.io

WTFcsv

https://www.databasic.io/en/wtfcsv

Choose your language: en. WTFcsv tells you WTF is going on with your .csv file. Data arrives at your doorstep in the form of a spreadsheet but how do you find a story in rows and columns? WTFcsv provides the first step by characterizing each column's data type. And contents so that you can ask more questions. UFO Sightings in Massachusetts. Are you an Educator? Try our Activity Guide.

databasic.io databasic.io

SameDiff

https://www.databasic.io/en/samediff

Choose your language: en. SameDiff compares two or more text files and tells you how similar or different they are. SameDiff compares one corpus. Of text to another corpus of text to show you similarities and differences. It uses a cosine similarity. To rate whether the documents are really similar or totally different. Are you an Educator? Try our Activity Guide.

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