Here's how DRACODOC.GITHUB.IO makes money* and how much!

*Please read our disclaimer before using our estimates.
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DRACODOC . GITHUB . IO {}

  1. Analyzed Page
  2. Matching Content Categories
  3. CMS
  4. Monthly Traffic Estimate
  5. How Does Dracodoc.github.io Make Money
  6. Keywords
  7. Topics
  8. External Links
  9. Libraries

We are analyzing https://dracodoc.github.io/.

Title:
From Learning and Evolution to Data Science
Description:
This is about my exploration of Data Science, came from research background of AI, artificial learning and evolution.
Website Age:
12 years and 3 months (reg. 2013-03-08).

Matching Content Categories {πŸ“š}

  • Education
  • Science
  • Careers

Content Management System {πŸ“}

What CMS is dracodoc.github.io built with?

Custom-built

No common CMS systems were detected on Dracodoc.github.io, but we identified it was custom coded using Bootstrap (CSS).

Traffic Estimate {πŸ“ˆ}

What is the average monthly size of dracodoc.github.io audience?

🚦 Initial Traffic: less than 1k visitors per month


Based on our best estimate, this website will receive around 19 visitors per month in the current month.
However, some sources were not loaded, we suggest to reload the page to get complete results.

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How Does Dracodoc.github.io Make Money? {πŸ’Έ}

We don’t know how the website earns money.

Some websites aren't about earning revenue; they're built to connect communities or raise awareness. There are numerous motivations behind creating websites. This might be one of them. Dracodoc.github.io has a secret sauce for making money, but we can't detect it yet.

Keywords {πŸ”}

data, posted, read, comments, geocoding, summary, cleaning, shiny, project, science, experience, post, rstudio, nfirs, functions, cartocom, api, addin, addresses, address, task, script, workflow, postgis, red, cross, learning, evolution, categories, tags, reactive, talk, notes, found, good, topic, make, link, button, multiple, ggplots, dataset, package, writing, practice, part, performance, format, nyc, taxi,

Topics {βœ’οΈ}

american red cross data science project provide addin mechanism good alternative compare generate html codes creating web map examples looked simple high priority list substantial positive impact business thinking involved linux environment setup built interactive visualizations address format standard batch geocoding millions addin api easy shiny functions posted found rstudio began good practice project multiple ggplots posted final working script data cleaning data science nfirs data cleaning posted data analysis public data shiny functions shiny posted reactive programming link button multiple ggplots errors posted nfirs dataset geocoding task customize shiny 0 comments summary 2 comments summary 4 comments summary 0 comments intro invited talk usual tutorials talk slides greater extent οΏ½ color sync synchronize colors wrap carto api calls attempt recently immediately started deep understandings

Libraries {πŸ“š}

  • Bootstrap
  • Fancybox
  • FontAwesome
  • jQuery
  • jQuery module (index)

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