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Visual Capitalist www.visualcapitalist.com
Rich visual content for the modern investor. Visual Capitalist is a new way to discover business opportunities and learn about investment trends. #subscription_available #@@zarrar #data #data_science #content_driven #data_visualization #ideas #pub
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Pretty cool #data #data_visualization #unique_spin #interesting #geeky #social_bookmarking #pub
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Full-stack intelligent monitoring of infrastructure, system and apps running in Amazon Web Services and Rackspace cloud environments #servers #sysadmin #monitoring #alternatives #SaaS #freemium #dev #data_visualization #$IT_management #$AFMA #$kippt_bookmark #devops #pages #paid #pricing #services #services_to_try #tiers #trial #metrics #data #pub
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Heh #personal #geeky #last.fm #data_heaven #music #data_visualization #dataisbeautiful #quantified_self #statistics #fun #pub
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Vizable vizable.tableau.com
#iPad #mobile_apps #data #!TO_TAG_bit_more #productivity_fun #geeky #@to_look_at #data_visualization #quantified_self #apps #graphs #analytics #toread #pub
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Tableau can help anyone see and understand their data. Connect to almost any database, drag and drop to create visualizations, and share with a click. #analytics #!TO_TAG_bit_more #data #enterprise-ish #data_analytics #data_visualization #homepages #toread #pub
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Sherbit www.sherbit.io
"Take Control of Your Data Your apps and smart devices are constantly collecting data about you. Sherbit puts it all together, so you can easily understand and analyze your information." #quantified_self #API_driven #data_visualization #iOS #web_2.0 #pub
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#data_visualization #SaaS #enterprise #pub
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#performance_monitoring #app_monitoring #SaaS #freemium #pricey #data_analytics #data_collection #data_driven #charts #analytics #public_companies #tech_companies #startups #dev #cross-language #server_monitoring #data_visualization #servers #sysadmin #monitoring #alternatives #unique_spin #$IT_management #industry_bigs #ballers #$AFMA_umbrella #error_tracking #devops #Error_handling #alerts #pub
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#ideas #copycopy #pub

subsidiary_sites: footer links to LOGIKA Corporation(R) http://www.logika.net

allows_user_registration, oauth, oauth_only: can only login and register via Twitter.

They also have solid clickbait/linkbait content like hashtag definitions, pages for every hashtag. SO basically a ton of stuff. IE:

https://www.hashtags.org/analytics/economy/ which is a solid page of automated stuff and aggregated data.

They got "content resources" like https://www.hashtags.org/how-to/search/how-to-use-hashtag-analytics/ or https://www.hashtags.org/platforms/twitter/what-characters-can-a-hashtag-include/

Then my god just screaming of spambutnotspam sort of shiz: https://www.hashtags.org/articles which is linked from the first tab on home page is just a few listed links, clicking any goes to another page usually, same look, like: https://www.hashtags.org/business/. Clicking something on there then goes to article editorial sort of pages about stuff happening with hashtags. I wonder how automated this is? Example list of article editorial page is: https://www.hashtags.org/business/brands/ and then an article from there is: https://www.hashtags.org/business/brands/microsofts-windowsphone-remains-in-constant-flux-among-hashtag-trends/. It is only 5 down but 9 months old...so not too updated with how they are spreading the stuff out. Latest one on that page is 6 weeks old. So they are def still updating.

Overall the monthly pricing is not cheap for sure.

_New tag: google_bait, which is basically SEO bait. And prob want to change clickbait and linkbait to have an underscore_

_New tag: allows_user_registration. Was going to do membership or something but that's already there and maybe points toward something paid. While I'm just saying free registration is possible/easy to do. Initially was going to do site_or_app_that_allows_user_registration but that is clearly too long...and now I'm writing too much_ #automated #revenue_model #research #linkbait #spambutnotspam #aggregation #oauth_only #SaaS #twitters #oauth #data_driven #!TO_TAG_bit_more #paid #monitoring #ideas #reference_for_work #data_visualization #data_mining #social_media #data #pricey #hashtags #APIs #SEO #data_analytics #revenue_stream #web_2.0 #monthly #subsidiary_sites #tracking #google_bait #copycopy #work #data_generation #SEO_oriented #allows_user_registration #crawling #@to_look_into #toread
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#integrations #SaaS #google_sheets #freemium #data_visualization #trial #data_driven #spreadsheets #FSC #work #dev #$to_try #%product_hunt #pub
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#D3 #javascript #in-depth #code #best_of #data_visualization #code_examples #$project_2018_js #dev #pub
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Discover insights faster and communicate more effectively with interactive notebooks for data analysis, visualization, and exploration. #$project_2018_js #D3 #javascript #code #code_examples #data_visualization #bookmarked_on_site #dev #pub
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Using d3 SVG legend @d3-svg-legend The legend uses getBBox() internally to determine the height of a text label and accordingly calculates translate values and positions the legend labels. For cases when the target container does not have a layout, this mechanism fails. To overcome such scenarios, the shapePadding() property can be put into use. Define Scale type with domain/range Define Legend type Draw the SVG legend Includes #bookmarked_on_site #D3 #javascript #code #code_examples #data_visualization #$project_2018_js #dev #pub
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Super in-depth! Adjusting legend positions horizontally Suppose , we want to draw legends using d3 From this data In most situations we have constant sized legends Which is problem if we change data Now, result looks like this But, using this snippet, we can modify group positions after it is drawn var marginLeft = 0; groups.each(function (d, i, arr) { var wrapper = d3.select(this); var bbox = wrapper.node().getBoundingClientRect(); wrapper.attr('transform', 'translate(' + marginLeft + ',15)') #dev #bookmarked_on_site #D3 #code #data_visualization #code_examples #$project_2018_js #javascript #in-depth #best_of #pub
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d3 Legend See this issue for more information. #$project_2018_js #D3 #dev #code #code_examples #data_visualization #bookmarked_on_site #javascript #pub
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Discover insights faster and communicate more effectively with interactive notebooks for data analysis, visualization, and exploration. #javascript #D3 #lists #code #data_visualization #code_examples #$project_2018_js #dev #pub
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#dev #D3 #cant_bookmark_on_site #code #data_visualization #code_examples #$project_2018_js #javascript #pub
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#ebooks #dev #in-depth #D3 #code #best_of #code_examples #data_visualization #$project_2018_js #javascript #pub
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D3 in Depth www.d3indepth.com
#in-depth #D3 #javascript #code #best_of #code_examples #data_visualization #$project_2018_js #dev #pub
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If you’re planning to build a React app with more than a few simple data visualizations, you’ll probably want to pick an approach that: Given the above criteria, these are what I’d consider to be the… #bookmarked_on_site #D3 #dev #second_tier #data_visualization #$project_2018_js #javascript #pub
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Data-Driven Declarative Documents. Contribute to joelburget/d4 development by creating an account on GitHub. #javascript #D3 #$project_2018_js #%on_github #code #best_of #data_visualization #code_examples #bookmarked_on_site #dev #pub
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