Massive Data Analysis

Your "big data" retrieval tool at AllThatStats

Run "Data Analysis"

Massive Data Analysis supports your research work by exploring 100+ million of time series within the split of a second for strong correlations:

to track for best series, e.g. to identify the most up-to-date GDP series within AllThatStats sources
to check given time series for completeness and correctness
to identify poorly documented or unknown time series
to explore and discover new exciting economic correlations
or get inspired and come up with new ideas into your field of research

It's possible to add/define a time shift function that might help you identify indicators correlating with a time delay, e.g. leading or lagging indicators. Make your choice.

Example

Most sources often provide the same indicators in various databases - but not in all cases updated on the same level. In the case of multiple sources - as provided by the AllthatStats platform - most likely, more up-to-data series or series coming up with more complete data histories might be available somewhere out there. Or time series are available in various units: expressed at market/constant prices, in national currencies/international $, at constant prices, -exchange rates, -ppp, indexes, etc.

Example 1 - starting Massive Data Analysis directly

You are looking for the European Union's latest figures on "GDP per capita".

Go to "Data Analysis" and run a keyword search directly with Massive Data Analysis. Key in "gdp per capita European Union". The hit list is shown immediately. Make your choice: the second hit provides a series (for EU 28 countries) spanning the time range from 1995-2013. Press "Continue" and within seconds, Massive Data presents additional time series showing similiar GDP patterns but varying time spans and units ranked by the corresponding correlation coefficients.

Example 2 - running Massive Data Analysis directly on database level

Start a retrieval at AllThatStats' services "Databases" or "Communicate". Open your "Selection" and run "Data Analysis" by time series on the fly.