• SOFTWARE + NUMBERS Visualization & Data Analytics

    Where is the real data?

    Connecting hidden links between data points can lead to deeper insights.

    See Examples

  • Gantry 4 FrameworkPowered Features

    We track customer
    habits

    Monitoring what viewers like (and don't) helps improve hit ratings and reduces flops.

    Read More View Stats

  • Two Menu OptionsDropdown & Splitmenu

    Quick
    Access

    Dropdown is CSS based, featuring icons, inline positions and configurable columns.

    Read More View Stats
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Our Methodology Follow The Numbers

What?

What factors are the most crucial? Detecting certain baseline metrics that matter can be a starting point.

Why?

Why are there hidden links between data points? Why have certain metrics stopped moving? Visual analytics can provide insights.

How?

How can key indicators be measured? Data modeling based on multiple sources can depict relevant patterns and trends.

Case Studies Open Data Analytics

nlnew rntwitter map charts articlev1

Details
Published: Saturday, 21 November 2015 18:04
Written by Super User
Social Media Impact Based on Public Data from Twitter

The charts displayed below depict the relative influence of posters and messages linked to @RalphNortham.

  • The most influential Tweeters were not always the ones with the most followers. Frequency multiplied by follower count led to a greater impact.
  • The top 25 Tweets (the ones that were propagated more widely than any others) were "RT" posts, not originals.

nlnew rntwitter map charts article

Details
Published: Saturday, 21 November 2015 18:04
Written by Super User
Social Media Impact Based on Public Data from Twitter

The charts displayed below depict the relative influence of posters and messages.

  • The most influential Tweeters were the ones with the most followers. Not surprisingly, they were often the origins for the most popular Tweets.
  • The frequency of posting was less important where impact was concerned. The Tweets that spread around most rapidly were from writers for the New York Times.
  • The top 25 Tweets (the ones that were propagated more widely than any others) were "RT" posts, not originals.

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