Marriage rates by Census region
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Marriage rates by Census region
Who won the most games against which losing team?
InfoCaptor now officially works with Cloudera's Hadoop distribution and specifically with Hive and Impala.
Once you get connected to either Impala or Hive you can perform drag and drop visualization just like with any other data source.
InfoCaptor adds native Impala and Hive functionality within the Visualizer so you can leverage Date/time functions for date hierarchy visualizations.
Read the details about InfoCaptor does big data with Impala and Hive
Using the data from pwcmoneytree.com and easy to use dashboard software we perform analytics on a huge dataset that spans 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 definitely the peak for VC investment craziness. A whopping 105 Billions was pumped into startups and bringing them quickly for IPO. Ever since after the crash of 2000... Continue reading the original article
Lot of the entities have already paid the amount back to the government with interest and the government has made profits! Government has also lost money on lot of other organizations/companies that failed to repay back.
Checkout the full Visualization on the profit/loss analysis of Government Bailout money
And Here is the big list of all companies/organizations that made profit/loss and the percentage
Click on the image to see the full list
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 trends and further analysis leads to the following visualizations.
Aggregating the results by year
It is very amazing to see that the stream representing Dashboards has remained constant through out the years.
So does the stream for Analytics and Business Intelligence in general exihibit similar trend.
Analytics is kind of widening its mouth as we move forward and that is being helped by the combination of terms such as Hadoop + Big Data + Analytics being used almost together.
Now check the line chart below
Looks like the Trend for Dashboards define the lower bound and the trend for Business Intelligence define the upper bound. The trend for Hadoop started around first Quarter of 2007. The trend for Big Data started around third Quarter of 2008 and ever since they both are rapidly increasing. It remains to see whether they will cross "Business Intelligence" in terms of popularity of kind of merge and find a stable position somewhere in the middle.
Before Big Data and Hadoop came into picture the term "Analytics" exhibited a stable ground closer to dashboards but now the trend for Analytics seems to be following Big Data and Hadoop.
Let us take a deeper look into each week since 2004
Look at the downward spikes occuring around Christmas time. Nobody wants to hear about Big Data or Dashboards during holidays.
And finally, here is a quarterly cyclical view
Quarterly breakup of units sold by manufacturer
Here is more individual breakdown by Quarterly expenditure on Fruits (figures in 100 million)