Data Science Dojo YouTube Channel Analytics and Report

Data Science Dojo YouTube Stats & Analytics Dashboard (Data Updated on 2019-10-16)
Data Science Dojo
Joined YouTube on: 2014-08-06Area: United States  Language: English 
Subscribers Live Sub Count
40.7K 
Total Views
2.08M  0.1%
Average Video Views
1.63K  0.7%
Total Videos
232 
Channel Tags
Related News
Global Rank
332,505th  (Top 3.7%)
Country/Area Rank
60,037th  (Top 9%)
NoxScore
  0.78 
Published Videos
0  (Recent Month)
Est. Partner Earning
$ 260.5  (Monthly)
Est. Potential Earnings
$ 23.65  (Each Video)
Data Science Dojo Daily Followers & Views Data Comparison 
7 Days
30 Days
Views
Subs
Subs Growth Last 7 Days: Subs Compared to Previous Last 7 Days:
Data Science Dojo Subscribers History Data (Recent Year)
Daily
Total
Tips: YouTube only displays three digits numbers of subscribers, so the curve has some changes
Data Science Dojo Views History Data (Recent Year)
Daily
Total
Data Science Dojo Future Projections (Next Year)
Estimated Audience Age & Gender 
Estimated Audience Geography 
Average interaction of the last 30 uploaded videos
  • Views/Subs
    3.86%
  • Likes/Views
    2.58%
  • Comments/Views
    0.21%
  • Dislikes/Views
    0.05%
Views Graph for the Last 30 Videos
Avg.Views1.57K
Most Viewed Video from Data Science Dojo YouTube Channel
9.11K Views· 2019-02-15 Published Date· 163 Likes· 20 Comments

How to automatically web scrape periodically so you can analyze timely/frequently updated data. There are many blogs and tutorials that teach you how to scrape data from a bunch of web pages once and then you’re done. But one-off web scraping is not useful for many applications that require sentiment analysis on recent or timely content, or capturing changing events and commentary, or analyzing trends in real time. As fun as it is to do an academic exercise of web scraping for one-off analysis on historical data, it is not useful when wanting to use timely or frequently updated data. Scenario: You would like to tap into news sources to analyze the political events that are changing by the hour and people’s comments on these events. These events could be analyzed to summarize the key discussions and debates in the comments, rate the overall sentiment of the comments, find the key themes in the headlines, see how events and commentary change over time, and more. You need a collection of recent political events or news scraped every hour so that you can analyze these events. What we’ll do: We’ll go through the process of writing standard web scraping commands in R, filtering timely data, analyzing or summarizing key information in the text, and sending an email alert of the results of your analysis. We’ll set up our script to run every hour so that text is scraped and analyzed periodically to capture changing events and commentary, or analyze trends in real time. Feel free to bring your laptop and follow along! Let’s go fetch your data! Repository: https://code.datasciencedojo.com/rebeccam/tutorials/tree/master/web_scraping_R-master -- Watch more community talks: https://tutorials.datasciencedojo.com/category/community-talks/ -- Learn more about Data Science Dojo here: https://datasciencedojo.com/data-science-bootcamp/ Watch the latest video tutorials here: https://tutorials.datasciencedojo.com/ See what our past attendees are saying here: https://datasciencedojo.com/reviews/ -- Like Us: https://www.facebook.com/datasciencedojo/ Follow Us: https://twitter.com/DataScienceDojo Connect with Us: https://www.linkedin.com/company/data-science-dojo Also find us on: Instagram: https://www.instagram.com/data_science_dojo/ Vimeo: https://vimeo.com/datasciencedojo #webscraping #rprogramming

Latest Videos from Data Science Dojo YouTube Channel
NoxInfluencer Team

Hi there! Any question please leave us a message via facebook(recommended) and we'll get back to you soon. Have a nice day ^.^

Questioning via facebook
(recommended)