4.7 sec in total
610 ms
3.4 sec
646 ms
Visit bigdata.stanford.edu now to see the best up-to-date Big Data Stanford content for United States and also check out these interesting facts you probably never knew about bigdata.stanford.edu
Visit bigdata.stanford.eduWe analyzed Bigdata.stanford.edu page load time and found that the first response time was 610 ms and then it took 4.1 sec to load all DOM resources and completely render a web page. This is a poor result, as 65% of websites can load faster.
bigdata.stanford.edu performance score
name
value
score
weighting
Value12.2 s
0/100
10%
Value14.6 s
0/100
25%
Value12.2 s
3/100
10%
Value840 ms
34/100
30%
Value0
100/100
15%
Value18.0 s
3/100
10%
610 ms
31 ms
22 ms
170 ms
171 ms
Our browser made a total of 80 requests to load all elements on the main page. We found that 71% of them (57 requests) were addressed to the original Bigdata.stanford.edu, 11% (9 requests) were made to Fonts.gstatic.com and 5% (4 requests) were made to Assets.adobedtm.com. The less responsive or slowest element that took the longest time to load (1.2 sec) belongs to the original domain Bigdata.stanford.edu.
Page size can be reduced by 2.2 MB (55%)
4.0 MB
1.8 MB
In fact, the total size of Bigdata.stanford.edu main page is 4.0 MB. This result falls beyond the top 1M of websites and identifies a large and not optimized web page that may take ages to load. 60% of websites need less resources to load. Javascripts take 1.6 MB which makes up the majority of the site volume.
Potential reduce by 65.3 kB
HTML content can be minified and compressed by a website’s server. The most efficient way is to compress content using GZIP which reduces data amount travelling through the network between server and browser. This page needs HTML code to be minified as it can gain 14.1 kB, which is 18% of the original size. It is highly recommended that content of this web page should be compressed using GZIP, as it can save up to 65.3 kB or 86% of the original size.
Potential reduce by 73.3 kB
Image size optimization can help to speed up a website loading time. The chart above shows the difference between the size before and after optimization. Big Data Stanford images are well optimized though.
Potential reduce by 1.3 MB
It’s better to minify JavaScript in order to improve website performance. The diagram shows the current total size of all JavaScript files against the prospective JavaScript size after its minification and compression. It is highly recommended that all JavaScript files should be compressed and minified as it can save up to 1.3 MB or 84% of the original size.
Potential reduce by 752.4 kB
CSS files minification is very important to reduce a web page rendering time. The faster CSS files can load, the earlier a page can be rendered. Bigdata.stanford.edu needs all CSS files to be minified and compressed as it can save up to 752.4 kB or 90% of the original size.
Number of requests can be reduced by 46 (67%)
69
23
The browser has sent 69 CSS, Javascripts, AJAX and image requests in order to completely render the main page of Big Data Stanford. We recommend that multiple CSS and JavaScript files should be merged into one by each type, as it can help reduce assets requests from 35 to 1 for JavaScripts and from 13 to 1 for CSS and as a result speed up the page load time.
bigdata.stanford.edu
610 ms
css
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bigdata.stanford.edu accessibility score
Names and labels
These are opportunities to improve the semantics of the controls in your application. This may enhance the experience for users of assistive technology, like a screen reader.
Impact
Issue
<frame> or <iframe> elements do not have a title
bigdata.stanford.edu best practices score
Trust and Safety
Impact
Issue
Does not use HTTPS
Includes front-end JavaScript libraries with known security vulnerabilities
Ensure CSP is effective against XSS attacks
User Experience
Impact
Issue
Serves images with low resolution
General
Impact
Issue
Detected JavaScript libraries
Missing source maps for large first-party JavaScript
bigdata.stanford.edu SEO score
Mobile Friendly
Make sure your pages are mobile friendly so users don’t have to pinch or zoom in order to read the content pages. [Learn more](https://developers.google.com/search/mobile-sites/).
Impact
Issue
Document uses legible font sizes
Tap targets are not sized appropriately
EN
EN
UTF-8
Language claimed in HTML meta tag should match the language actually used on the web page. Otherwise Bigdata.stanford.edu can be misinterpreted by Google and other search engines. Our service has detected that English is used on the page, and it matches the claimed language. Our system also found out that Bigdata.stanford.edu main page’s claimed encoding is utf-8. Use of this encoding format is the best practice as the main page visitors from all over the world won’t have any issues with symbol transcription.
bigdata.stanford.edu
Open Graph description is not detected on the main page of Big Data Stanford. Lack of Open Graph description can be counter-productive for their social media presence, as such a description allows converting a website homepage (or other pages) into good-looking, rich and well-structured posts, when it is being shared on Facebook and other social media. For example, adding the following code snippet into HTML <head> tag will help to represent this web page correctly in social networks: