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Dealing with Data Disasters: Simple Fixes
Dealing with Data Disasters: Simple Fixes
How often have you received a data set that’s all set and ready for analytics or data visualization? One that didn’t come from a viz…
Kristin Henry
Jul 18
Analyzing & Visualizing Terrorist Attacks in Pakistan & India (2002–2015)
Analyzing & Visualizing Terrorist Attacks in Pakistan & India (2002–2015)
I am currently studying Data Science so the best approach to learn is by doing it real time and being a Pakistani I would look at the data…
Umer Mahasin
Jul 18
Data Curious 17.07.2017: A roundup of data stories, datasets and visualizations from last week
Data Curious 17.07.2017: A roundup of data stories, datasets and visualizations from last week
Welcome to my weekly roundup of data-driven things I noticed on the web last week. This is week 14(last week’s post is here, and special…
Benjamin Cooley
Jul 17
Analyze public discourse on refugees with cleanNLP
Analyze public discourse on refugees with cleanNLP
An analysis of refugee mentions in UN speeches and coverage in TV news
Hannah Yan Han
Jul 16
Love thy k — nearest neighbors
Love thy k — nearest neighbors
Using Voronoi tessellations/diagrams to visualize 1-NN
Amit Malhotra
Jul 15
Best Bookshelf: Data Visualization Adapting Real World Objects with D3.js
Best Bookshelf: Data Visualization Adapting Real World Objects with D3.js
This project is about data visualization project, Best Bookshelf.
Tanyoung Kim
Jul 15
The role of luck in poker: How the number of hands played affects the variance
The role of luck in poker: How the number of hands played affects the variance
What makes poker the most thrilling and painful at the same time? Variance. Everyone can be a winner. But for how long?
Miha Gazvoda
Jul 8
The Science of Risk Mitigation Within The Digital Enterprise
The Science of Risk Mitigation Within The Digital Enterprise
Doubling down on SaaS security, data-driven decisions, and the enterprise cloud.
Orlando Trott
Jul 5
A metallurgical scientist’s approach to predicting NBA team success
A metallurgical scientist’s approach to predicting NBA team success
By Peter Tsai, Ph.D.
Peter Tsai
Jul 11
Digital transformation is radically changing how people look for work, challenging companies to…
If you sometimes engage recruitment suppliers to plug resourcing gaps at your company, this Q&A with Charlotte Steel, Head of Talent at…
Shai Alexander
Jul 10
Data Curious 10.07.2017: A roundup of data stories, datasets and visualizations from last week
Welcome back to my weekly roundup of data-driven things I noticed on the web last week. This is week 13 (last week’s post is here, and…
Benjamin Cooley
Jul 11
Size isn’t everything
Size isn’t everything
Making sense of the “big-bad data monster”
Will Kimmel
Jul 10
CityClass project #2
CityClass project #2
Conclusions and further steps
Roman Kuchukov
Jul 9
A Beginners Guide to the World Within Data Science
A Beginners Guide to the World Within Data Science
The Goal
Conor Dewey
Jul 8
What coding skills do devs want to develop
What coding skills do devs want to develop
How do developers’ skills related to each other and how will the skills evolve?
Hannah Yan Han
Jul 8
This talk will make you reconsider cognitive bias and develop a “thinking eye” like Galileo.
This talk will make you reconsider cognitive bias and develop a “thinking eye” like Galileo.
Understand design thinking and data visualization.
Gabriel Mott Colors
Jul 8
Survey says…this is the ideal work/life balance
Survey says…this is the ideal work/life balance
Surveying people to figure out what is more important to them — money or their free time.
Late Night Froyo
Jun 24
Make your data speak for itself! Less is more (and people don’t read)
Make your data speak for itself! Less is more (and people don’t read)
I’ve gotten some pretty horrible data visualization examples lately from an analyst company that shall remain nameless. So, I started…
Courtney Jordan
Jul 7
Hacking Data Art at an AI Genomic Hackathon
Hacking Data Art at an AI Genomic Hackathon
A while ago, I noticed an interesting hackathon was coming up. The AI Genomics Hackathon focused on a rare disease (NF2). Yes, I had…
Kristin Henry
Jun 28
What happened to the missing migrants and who are they
What happened to the missing migrants and who are they
In 2013, at least 368 individuals died in two shipwrecks off Italian shore. This created much awareness on the deaths of migrants…
Hannah Yan Han
Jul 4
Jobs for the boys (and girls)
Jobs for the boys (and girls)
The ratio of women to men working in over 200 ASX listed organisations sits at 45% versus 55%. Anecdotally this situation appears logical…
Kelly Tall
Nov 6, 2016
Reducing Dimensionality from Dimensionality Reduction Techniques
Reducing Dimensionality from Dimensionality Reduction Techniques
In this post I will do my best to demystify three dimensionality reduction techniques; PCA, t-SNE and Auto Encoders. My main motivation for…
Elior Cohen
Jul 2
Data Curious 03.07.2017: A roundup of data stories, datasets and visualizations from last week
Data Curious 03.07.2017: A roundup of data stories, datasets and visualizations from last week
Welcome back to my weekly roundup of data-driven things I noticed on the web last week. This is week 12 (last week’s post is here, and…
Benjamin Cooley
Jul 3
Data Curious 26.06.2017: A roundup of data stories, datasets and visualizations from last week
Data Curious 26.06.2017: A roundup of data stories, datasets and visualizations from last week
Welcome back to my weekly roundup of data-driven things I noticed on the web last week. This is week 11 (last week’s post is here, and…
Benjamin Cooley
Jun 26
Analyzing College Memories Over Time
Analyzing College Memories Over Time
Was college really that great or does it just seem that way in hindsight?
Late Night Froyo
Jun 3
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