Yahoo Indexed Pages: View This represents how many pages from are currently visible to the public on Yahoo search engine.Google Indexed Pages: 2,440 This represents how many pages from are currently visible to the public on Google search engine.Backlinks are very important for search engines since more backlinks mean more popularity leading to a better positioning on search engines. Backlinks:478 This represents how many websites have links redirecting to.If has no pages indexed it means it's too new, is banned or suffered a penalty.į has 2,440 pages on Google which is a lot. If you are buying or it is your competitor checking how many pages indexed it has is vital. Search Engine & Internet Presense of A website with a large amount of indexed pages in search engines is more likely to have tons of visits. COM is the most popular and it represents Commercial websites.ĪSP.NET_SessionId=mblfmwlq5jzzmg05k0ndgja4 path= HttpOnly Domain Suffix: Commercial A domain suffix is the last part of a domain name and is often referred to as a "top-level domain" or TLD.DBA SOFTLAYER This shows the company who handled the registration of this domain. ICANN Registrar: EVERYONES INTERNET, LTD.It's a number that represents the identification and location of a website. IP Address:188.138.81.30 IP Addresses are similar to physical addresses.PageRank also considers the importance of each page that casts a vote, as votes from some pages are considered to have greater value, thereby giving the linked page a greater value. Pages that Google search engine believes are important receive a higher PageRank and are more likely to appear at the top of the search results. Google Pagerank: 5/10 Google PageRank reflects the importance of web pages by considering more than 500 million variables and 2 billion terms.Quantcast Rank: Not ranked/Not available The Quantcast rank is a measure of 's popularity.This rank is calculated using a combination of average daily visitors and pageviews from over the last 3 months. The lower the rank is, the more popular the website is. Alexa Rank: 46,750 ( +58% over the last 3 months) The Alexa rank is a measure of 's popularity.If you need any more detail on what I am looking to achieve, please let me know. I'd appreciate any steer as I know this is probably an M code solution. csv, move it into the correct folder and overwrite the existing file, then click refresh on Power BI to get the most up-to-date stats. Ideally, I'd like to be able to get the dashboard to a situation where I just need to download the. Obviously, the difficulty is the fact that this is a recurring exercise, so the automated solution needs to be able to deal with a different number of rows each time. csv into Power BI and then split the four tables into four queries? The clear delimiter here is the blank row that separates each table from each other. It doesn't take long but introduces human error (especially if this task moves to someone else). The analysis is relatively simple (even for me, a beginner), but it's the automation of loading the data into Power BI without having to split the. Some examples of questions my dashboard should be able to answer include:ġ) "How many M&A deals do we have on the database?" (A countrows on the first table).Ģ) "What proportion of deals in March were SBOs" (A countif type function of the second table)ģ) A scatter plot of M&A deals by date and size csv files which I then pull into Power BI separately and interrogate as 4 separate queries. As each table has fundamentally different information on it, I want to interrogate the data separately as four separate queries. I do a pull from our platform on a weekly basis and, as the data is always updating as we add new deals to our database, the number of rows in each table will grow every time I do a download. The key point is that each table has a different number of rows and a different number of columns but are always separated by one blank row. csv to highlight how the tables are arranged. Here is a link to a dummy version of that. csv file produced by a proprietary application that includes 4 different tables all jammed together into a single file.
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