code markedmondson.me

Mark Edmondson - An Englishman in Copenhagen Coding Data

An Englishman in Copenhagen Coding Data
traffic

OVERVIEW

This site code.markedmondson.me currently has an average traffic classification of zero (the lower the better). We have evaluated nine pages within the site code.markedmondson.me and found twenty-five websites associating themselves with code.markedmondson.me. There is three public web accounts linked to this website.
Pages Analyzed
9
Links to this site
25
Social Links
3

CODE.MARKEDMONDSON.ME RANKINGS

This site code.markedmondson.me has seen variant levels of traffic within the past the year.
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LINKS TO BUSINESS

Mark Edmondson

An Englishman in Copenhagen writing about digital, music and anything else. BigQuery Visualiser Shiny app now free and open sourced. A few weeks ago I tweeted a beta version of a BigQuery Visualiser Shiny app. The idea of the app is to enhance the standard BigQuery interface. To include plots of the data you query.

WHAT DOES CODE.MARKEDMONDSON.ME LOOK LIKE?

Desktop Screenshot of code.markedmondson.me Mobile Screenshot of code.markedmondson.me Tablet Screenshot of code.markedmondson.me

CODE.MARKEDMONDSON.ME HOST

We discovered that a lone root page on code.markedmondson.me took five hundred milliseconds to come up. We could not detect a SSL certificate, so our crawlers consider code.markedmondson.me not secure.
Load time
0.5 seconds
SSL
NOT SECURE
Internet Address
151.101.192.133

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SERVER OPERATING SYSTEM

I detected that this website is employing the GitHub.com operating system.

TITLE

Mark Edmondson - An Englishman in Copenhagen Coding Data

DESCRIPTION

An Englishman in Copenhagen Coding Data

CONTENT

This site code.markedmondson.me states the following, "An Englishman in Copenhagen Coding Data." Our analyzers noticed that the website also stated " Creating a real-time forecasting dashboard with Google Tag Manager, Google Cloud and R Shiny - Part one." The Website also stated " In part one of this two part series we walk through the steps to stream data from a Google Tag Manager. GTM implementation into a Google App Engine. GAE web app, which then adds data to a BigQuery. Table via BigQuerys data streaming capability. In part two, we then go into how to query that table in realtime from R, make a forecast use Shiny."

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