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Data Dico - Page 2
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SEO audit: Content analysis
| Language | Error! No language localisation is found. | ||||||||||||||||||||||||||||||||||||
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| Title | Data Dico - Page 2 | ||||||||||||||||||||||||||||||||||||
| Text / HTML ratio | 16 % | ||||||||||||||||||||||||||||||||||||
| Frame | Excellent! The website does not use iFrame solutions. | ||||||||||||||||||||||||||||||||||||
| Flash | Excellent! The website does not have any flash contents. | ||||||||||||||||||||||||||||||||||||
| Keywords cloud | Hillary Posts post Ben Heubl speeches Follow read minute Clinton unique Data analysis strategy speak Text stories find untold models | ||||||||||||||||||||||||||||||||||||
| Keywords consistency |
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| Headings |
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| Images | We found 1 images on this web page. |
SEO Keywords (Single)
| Keyword | Occurrence | Density |
|---|---|---|
| Hillary | 3 | 0.15 % |
| Posts | 2 | 0.10 % |
| post | 2 | 0.10 % |
| Ben | 2 | 0.10 % |
| Heubl | 2 | 0.10 % |
| speeches | 2 | 0.10 % |
| Follow | 2 | 0.10 % |
| read | 2 | 0.10 % |
| minute | 2 | 0.10 % |
| Clinton | 2 | 0.10 % |
| unique | 2 | 0.10 % |
| Data | 1 | 0.05 % |
| analysis | 1 | 0.05 % |
| strategy | 1 | 0.05 % |
| speak | 1 | 0.05 % |
| Text | 1 | 0.05 % |
| stories | 1 | 0.05 % |
| find | 1 | 0.05 % |
| untold | 1 | 0.05 % |
| models | 1 | 0.05 % |
SEO Keywords (Two Word)
| Keyword | Occurrence | Density |
|---|---|---|
| Hillary Clinton | 2 | 0.10 % |
| this post | 2 | 0.10 % |
| In this | 2 | 0.10 % |
| minute read | 2 | 0.10 % |
| read Text | 1 | 0.05 % |
| way to | 1 | 0.05 % |
| one way | 1 | 0.05 % |
| is one | 1 | 0.05 % |
| speeches is | 1 | 0.05 % |
| on speeches | 1 | 0.05 % |
| R on | 1 | 0.05 % |
| in R | 1 | 0.05 % |
| analysis in | 1 | 0.05 % |
| Text analysis | 1 | 0.05 % |
| Data Dico | 1 | 0.05 % |
| 14 minute | 1 | 0.05 % |
| to find | 1 | 0.05 % |
| to speak | 1 | 0.05 % |
| strategy to | 1 | 0.05 % |
| her strategy | 1 | 0.05 % |
SEO Keywords (Three Word)
| Keyword | Occurrence | Density | Possible Spam |
|---|---|---|---|
| In this post | 2 | 0.10 % | No |
| Data Dico Posts | 1 | 0.05 % | No |
| minute read Text | 1 | 0.05 % | No |
| way to find | 1 | 0.05 % | No |
| one way to | 1 | 0.05 % | No |
| is one way | 1 | 0.05 % | No |
| speeches is one | 1 | 0.05 % | No |
| on speeches is | 1 | 0.05 % | No |
| R on speeches | 1 | 0.05 % | No |
| in R on | 1 | 0.05 % | No |
| analysis in R | 1 | 0.05 % | No |
| Text analysis in | 1 | 0.05 % | No |
| read Text analysis | 1 | 0.05 % | No |
| speak 14 minute | 1 | 0.05 % | No |
| 14 minute read | 1 | 0.05 % | No |
| find some new | 1 | 0.05 % | No |
| to speak 14 | 1 | 0.05 % | No |
| strategy to speak | 1 | 0.05 % | No |
| her strategy to | 1 | 0.05 % | No |
| and her strategy | 1 | 0.05 % | No |
SEO Keywords (Four Word)
| Keyword | Occurrence | Density | Possible Spam |
|---|---|---|---|
| Data Dico Posts About | 1 | 0.05 % | No |
| minute read Text analysis | 1 | 0.05 % | No |
| to find some new | 1 | 0.05 % | No |
| way to find some | 1 | 0.05 % | No |
| one way to find | 1 | 0.05 % | No |
| is one way to | 1 | 0.05 % | No |
| speeches is one way | 1 | 0.05 % | No |
| on speeches is one | 1 | 0.05 % | No |
| R on speeches is | 1 | 0.05 % | No |
| in R on speeches | 1 | 0.05 % | No |
| analysis in R on | 1 | 0.05 % | No |
| Text analysis in R | 1 | 0.05 % | No |
| read Text analysis in | 1 | 0.05 % | No |
| 14 minute read Text | 1 | 0.05 % | No |
| some new untold stories | 1 | 0.05 % | No |
| speak 14 minute read | 1 | 0.05 % | No |
| to speak 14 minute | 1 | 0.05 % | No |
| strategy to speak 14 | 1 | 0.05 % | No |
| her strategy to speak | 1 | 0.05 % | No |
| and her strategy to | 1 | 0.05 % | No |
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Data Dico - Page 2 Data DicoPostsAboutCategories Ben HeublI am a data journalist and developer Follow London, UK Email Twitter GithubRecent Posts Building a model to spot how unique Hillary Clinton really is 15 minute readHow unique is Hillary Clinton’s style? What does her speeches tell us well-nigh her uniqueness? In this post I built several Naive Bayes models, trained them on ... Hillary Clinton and her strategy to speak 14 minute readText wringer in R on speeches is one way to find some new untold stories in the presidential referendum discussion. In this post we will concentrate on Hillar...Previous12Next Follow: GitHub Feed© 2017 Powered by Ben Heubl