From time to time, I got to deal with CSVs that are millions lines each, whether the data is from large datasets or from web scraping.
One time, I extracted the followings of the followers of an account, having in mind to know with which accounts they were competing on their audience.
That was an 10k followers account - and, give or take, each follower was in average following 800 accounts as well: that's 8,000,000 lines in total. And I had this data in a CSV, not in a database (oup's).
Question is: what are the accounts the most followed by the follower of an account?
That's a basic COUNTIF question.
Excel only takes into account a little more than 1,000,000 rows. Even more - try to perform a =COUNTIF() on 1 million rows. You'll get the result two days after.
So here I'm just sharing a little Python script, that actually does the work in less than 2 minutes. I'm leaving comments to explain the script below.
Hope it'll help someone!
Measure what matters - the rest doesn’t count.
I'm sharing here a proven tactic that drive results to get back at least 25% of your lost checkouts, while the e-commerce average is around 8%.
Launching an ecommerce store? You have everything ready, your products, your website, your design - even your analytics? Yupee !But how about your CRM ? In this article, we'll review a simple go-to plan you can start with today to extend your CRM capabilities. Let's dive in!
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One way to challenge big brands is to leverage data. Which data? Yours
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