Clean Data Science: Evaluating The Cleanliness of NYC Craft Beer Bar Kitchens

[unable to retrieve full-text content]An analysis of NYC Open Data health inspections showing that craft beer bar kitchens in Manhattan are cleaner than the average establishment by a statistically significant margin. An encouraging finding for Dry January.
Original Post: Clean Data Science: Evaluating The Cleanliness of NYC Craft Beer Bar Kitchens

Creating Data Visualization in Matplotlib

By DataScience.com Sponsored Post. Prerequisites Experience with the specific topic: Novice Professional experience: No industry experience The reader should be familiar with basic data analysis concepts and have some experience with a programming language (Python is ideal but not required). The dataset used can be downloaded here. You will only need day.csv after unzipping the dataset. Introduction to Data Visualization Data visualization is a key part of any data science workflow, but it is frequently treated as an afterthought or an inconvenient extra step in reporting the results of an analysis. Taking such a stance is a mistake — as the cliché goes, a picture is worth a thousand words. Data visualization should really be part of your workflow from the very beginning, as there is a lot of value and insight to be gained from just looking at your data. Summary…
Original Post: Creating Data Visualization in Matplotlib

Neighbors Know Best: (Re) Classifying an Underappreciated Beer

A look at beer features to determine whether a specific brew might be better served (pun intended) by being classified under a different style. kNN analysis supported with in-post plots and linked iPython notebook. By Reginal Eps, EndlessPint. Not One Thing  Beer is delicious but it is not one thing. If you disagree with the former part of the previous…
Original Post: Neighbors Know Best: (Re) Classifying an Underappreciated Beer

iSight Cloud – Lightning fast visualizations on large data sets

SnappyData is launching a FREE cloud service called iSight-Cloud so anyone can try our engine and provide us some feedback. You can try our simple demos in a visual environment or even bring your own data sets to try. By Jags Ramnarayan, CTO SnappyData. Introducing iSight Cloud – Lightning fast visualizations on large data sets at a fraction of the…
Original Post: iSight Cloud – Lightning fast visualizations on large data sets

Data Science Hackathon, Metis / Invisible Institute, Nov 19, San Francisco

Join hackathon to explore data science models and D3 visualizations to help the efforts of the Citizens Police Data Project.Join Metis for a day-long hackathon, where we explore data science models and D3 visualizations to help the efforts of the Citizens Police Data Project. This is donation-based event, where all proceeds will go to Invisible Institute/CPDP.All attendees will receive a…
Original Post: Data Science Hackathon, Metis / Invisible Institute, Nov 19, San Francisco

5 Steps for Advanced Data Analysis using Visualization

In most of the scientific researches, due to large amount of experiment data, statistical analysis is typically done by technical experts in computing and statistics. Unfortunately, these experts are not the experts of underlying research; which may cause gaps in analysis. If actual researchers are given easy to use tools and methods to handle and analyse data, it will enrich…
Original Post: 5 Steps for Advanced Data Analysis using Visualization

Equifax: Data Visualization Engineer

Seeking a Data Visualization Engineer to support and to develop solutions that will foster data driven decision making. You will work on large-scale datasets in our Big Data platform transforming data, aggregating key metrics and building interactive visualizations. Company: EquifaxLocation: St. Louis, MOWeb: www.equifax.comPosition: Data Visualization Engineer_Contact_:Apply online. Equifax Data and Analytics is a high-energy, fast-growing organization charged with building…
Original Post: Equifax: Data Visualization Engineer

The R Graph Gallery Data Visualization Collection

Welcome to the R graph gallery, a collection of R graph examples, organized by chart type, searchable by R function, with reproducible code and explanation. By Yan Holtz, INRA. Data visualization is one of the key steps of the Data Science Process. There are hundreds of possibilities when it comes to visualizing data – choosing and using the right one is…
Original Post: The R Graph Gallery Data Visualization Collection

Monash University: Graphics Software Specialist

Identify and install existing software packages, and develop bespoke application programs to support ambitious and innovative research, outreach and industrial engagement projects making use of the CAVE2 or other MIVP systems (e.g. 3D-ALIVE).At: Monash UniversityLocation: Clayton Campus (a suburb of Melbourne), AustraliaWeb: www.monash.edu.auJob No: 552605Duration: Three year fixed-term appointmentRemuneration: $79,850 – $87,581 pa HEW Level 07 (plus 17% employer superannuation)…
Original Post: Monash University: Graphics Software Specialist

How top companies use data to make wise decisions

Lucky people are those who pay attention to patterns and maintain a healthy curiosity. Download JMP Foreword magazine and read about those people.Lucky people are those who pay attention to patterns and maintain a healthy curiosity. And JMP is made for just this sort of person. JMP is for the inquisitive. For those who understand that real answers to real…
Original Post: How top companies use data to make wise decisions