An open-source exploration of the city's neighborhoods, nightlife, airport traffic, and more, through the lens of publicly available taxi and Uber data.
Images are clickable to open hi-res versions.
Added by Denis Rasulev on November 20, 2015 at 9:20pm — No Comments
Big Data is, as the adjective suggests, is quite large. Businesses are asked to leverage all sorts of data and data types to make decisions and insights on where to move forward. In years past, making sense of Big Data was the purview of engineers and statisticians who spent the better part of a decade studying these patterns and numbers. But, in recent years, software developers have attempted to cut the middle man out. Data analytics is now becoming more accessible to those even if they…Continue
Added by Brian Horvath on November 9, 2015 at 11:30pm — No Comments
Added by Divya Parmar on November 2, 2015 at 9:53am — No Comments
More than 10 years ago, on an early summer afternoon in 2005, I recall an interesting conversation with a friend about the potential of analytics, in an empty coffee shop on the beach. Having spent much of the previous decade helping clients derive value from traditional Business Intelligence (BI) and other IT implementations, we were conjecturing that the next wave might be business teams enhancing their decision making with better data and more detailed…Continue
Added by Venkat Viswanathan on September 23, 2015 at 4:26am — No Comments
NASA is using big data to make complex knowledge more readily available. Learn how graph visualization can help turn large corpus of documents into concrete insights.
Even in a mature and knowledge-driven organization like NASA, finding an answer to a common business issue can be frustrating. Past surveys at NASA have shown that most people have trouble finding the…Continue
After data science, which I discussed in an earlier post, data visualization is one of the most common buzzwords thrown around in the tech and business communities. To demonstrate how one can actually visualize data, I want to use one of the hottest tools in the market right now: Tableau. You can download Tableau Public for free …Continue
Added by Divya Parmar on August 18, 2015 at 8:25am — No Comments
Added by Pansop on June 22, 2015 at 12:30am — No Comments
As most of you guys know, the country of Nepal has been hit with a powerful earthquake killing over 1,800 lives(as of this writing). Thousands are injured. Lives are disrupted. Historic temples, monuments, buildings are leveled.
I plead you to help whatever you can. Money. Time. Good wishes, thoughts, and prayers. Scroll to the end of this post for where you…
We are excited to announce that all 1000+ functions on Blockspring can now be run from your spreadsheet.
You'll be able to create interactive data visualizations, run algorithms, pull data from the web, automate tweets and emails, call APIs, and more. In a nutshell, you get the full power of programming from the comfort of a spreadsheet.
To get started, install the …Continue
Added by Paul Katsen on April 2, 2015 at 9:00pm — No Comments
Recently we did a project with Worldreader to visualize their global impact. Here is an animated globe showing readers using Worldreader mobile, based on WebGL Globe by the Google Data Arts Team. (Best viewed in Google Chrome.)…Continue
Added by Cameron Turner on February 26, 2015 at 10:30am — No Comments
We've made a new interactive visualization of data science patterns.
The original infographics allows you to zoom in to find the various patterns; see snapshot below:…Continue
Added by Linda Terlouw on February 24, 2015 at 11:00am — No Comments
In this article we perform analytics on a huge dataset available from https://www.pwcmoneytree.com. PWC Money tree provides 20 years of Venture capital investment data from 1995 onward. Having data that goes far into the history should give us enough to extract the necessary analytical juice out of it.
The year 2000 was…Continue
Added by Nilesh Jethwa on January 14, 2015 at 9:46am — No Comments
Post adapted from Correlation vs Causation: Visualization, Statistics, and Intuition!
As someone who has a tendency to think in numbers, I love when success is…Continue
The top tech companies by market capitalization are IBM, HP , Oracle , Microsoft , Cisco , SAP , EMC , Apple , Amazon and Google
All of the top tech companies are selected based on their current market capitalization with the exception of Yahoo. The year 2014 is not included as part of this analysis.
Data: The source of this data is from the public financial records from SEC.gov
All the sales figures are normalized and reported in USD…Continue
How has the interest in Big Data, Hadoop, Business Intelligence, Analytics and dashboards changed over the years?
One easy way to gauge the interest is to measure how much news is generated for the related term and Google Trends allows you do that very easily.
After plugging all of the above terms in Google…Continue
Added by Nilesh Jethwa on December 2, 2014 at 10:37am — No Comments
Having found a dataset on Ebola cases, thought of checking it out quickly what the statistics really look like.
The dataset contains 3 countries and within each there are multiple regions.
So just using the high level information at the country level this is what we can see in a simple line chart.
In the below Chart,
The blue line > Total Death cases
The green line > Total Cases
The Orange line > Currently admitted
And the Red…Continue
Added by Nilesh Jethwa on October 6, 2014 at 6:57am — No Comments
D3.js is an awesome library for visualization. However, it requires a developer to perform the magic. So far, it has not been so popular with traditional data analysts.
At vida.io, we set out to bring D3.js to less technically savvy users. We want to enable them to create amazing data visualizations with D3.js. Our approach is template.
What is a D3.js Template?
It’s a D3.js visualization that you can reuse by just plugging in new data. For example, one of our…Continue
Added by Ryan Montano on August 28, 2014 at 9:30am — No Comments
Added by Ryan Montano on August 21, 2014 at 9:30am — No Comments
How to handle large dataset with D3.js?Continue
Added by Phuoc Do on July 7, 2014 at 9:01am — No Comments