Word clouds are becoming increasingly popular in data science and analytics. They are successors of tag clouds or better said younger siblings. The main difference is that tag clouds are usually made of tags manually written by user(s) or chosen from a predefined list and word clouds are based on some advanced text analytics mostly performed by software algorithms. Word clouds are used as a tool to extract essence of some text corpus and to represent it in a graphic form. Words with the higher frequency are shown bigger and those with lower frequency smaller or even excluded. This is the basic concept but the algorithm is quite a bit more complex. But is it possible to apply the word cloud algorithm on custom text without coding?

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There are different methods for website data scrapping and importing it into Excel. In this tutorial we will show you how to do it with Puppeteer, Node JS package. The method using Puppeteer might look scary at first but it’s actually quite easy and what is the most important you can get anything you want from the web page very accurately. Knowing JavaScript is useful but interestingly it’s something you can learn quickly up to the point to be able to scrape data.

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There are more and more arm64 CPUs(Central Processing Unit) on the market in different hardware configurations able to run Ubuntu Linux and to run serious processing tasks. Even some cloud services providers included arm64 processors to their offer. One of the biggest names in the cloud industry, Oracle, offers interesting always free virtual machine instances based on Ampere Arm chip. With these virtual machines, besides Always free plan, you get better scaling performance meaning more controlled price performance ratio than with x86 architecture CPUs. It’s also nice to know that cloud company won’t bill your credit card unless you explicitly change your pricing plan which is not the always the case in the cloud industry. Installing Puppeteer on arm64 processors is still bit more complicated than on x86 CPUs, so to make it as straight forward as possible read on.

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There are many ways how to scrape data from a website. You can do it with almost any programming language out there but with variable success. Nowadays it’s bit harder to be successful in website data scraping because many websites use advanced web technologies, progressive web and what not. In other words it’s not just parsing static HTML but getting access to DOM(Document Object Model) of webpage because it’s usually interactively modified meaning when you interact with webpage new parts of HTML are added and some parts removed on the fly.

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There are still free things on the internet. You can use free cloud storage for backup copy of your data. Keep in mind that this should be only one layer of your backup solution, others include data copy on your physical backup hard drive. However, free cloud backup is great for daily backup where you will keep only certain amount of copies depending on how big is your backup. Let’s see what options we have regarding server backup for free.

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In Javascript, and in any other programing language, functions are one of the most important building blocks. Basically, you can’t do anything without them, therefore it is super important to know as much as possible about them. This article will take you into the world of Javascript functions – you will learn (almost) everything you need to know about them. Let’s get started.
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Sometimes you need to automate file copying between Linux servers. For example, your shell script might need to copy the backup from time to time and you don’t want to provide the password in the clean text format. So what you can do about this?
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In this article, we are going to take a look at logistic or logit regression, and we are going to learn the differences between binary, multinomial, and ordinal logistic regression.
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In this article, we are going to investigate what are outliers in linear regression, why and when are they important, and what should we do about them – should we remove them from the data presentation or not.
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Linear regression is also known as ordinary least squares (OLS) and linear least squares, and it opens the doors into the regression world. Linear regression is one of the most widely known modeling techniques and is usually among the first few topics that people master when they learn predictive modeling. We differentiate between a simple and multiple linear regression, and in this article, we’re going to focus on these two.
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