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Exploring the Exploratory Data Analysis Process!

Abhisek Roy
Abhisek Roy
Exploratory data analysis process

A dataset can be analysed in multiple ways. Exploratory data analysis process is one of the most widely used methods among the available solutions. In simple terms, the process involves the extraction of certain data points from the dataset and generating graphs. These graphs are then analysed visually to find trends or patterns. The visualisations […]

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Building Custom Web Crawler for Websites like Amazon

Abhisek Roy
Abhisek Roy
custom web crawler

Mammoths like Amazon and Walmart were not just built on great ideas, but also on top of large amounts of data. So when you try to build custom web crawler to fetch data from websites of companies like these, it does make sense. However, one also needs to deep dive into how the best data […]

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Scrape e-commerce data from Walmart- the world’s largest retail store

Abhisek Roy
Abhisek Roy
Walmart data

Based on this article published by Forbes, Walmart data had 20,000 stores in 28 countries as of July 2021. It is still the largest retailer in the world, with Amazon following far second at almost half its sales. Established in 1962, while it is not a new company, it has improved its tech efforts, leaving […]

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Data Scientists and their Methods of Data Science in today’s World

Abhisek Roy
Abhisek Roy
Data Scientists

Data Science is a field that has grown beyond leaps and bounds, just like man-made and machine-created data itself. It has led to the growth in the number of individuals from different fields like mathematics and bioscience, taking up data as a tool for solving problems. Algorithms have gone far beyond handling numbers and texts. […]

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How did Netflix Data revolutionize the Entertainment Industry?

Abhisek Roy
Abhisek Roy
Netflix Data

Digital transformation has revolutionized businesses across the globe. Companies that have stuck to age-old methods are being bought out or have gone bankrupt. There are multiple stories of a technically advanced but smaller company replacing a vintage giant. Netflix was not the father of the movie-rental business in the US. Blockbuster, founded in 1985, revolutionized […]

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Your Guide to Web Scrape Quora Q&As

Abhisek Roy
Abhisek Roy
Quora

Q&A sites like Quora are online socialization hubs for digital citizens worldwide to ask, answer, and discuss the most prominent issues, doubts, and topics. Extracting large-scale data from these online Q&A platforms can be useful to marketers and data scientists alike as it’s not only a multilingual Q&A website but also a social network in […]

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Scrape Hotel Data from Booking.com

Abhisek Roy
Abhisek Roy
Scrape booking com data

The COVID-19 pandemic hit every section of society and had an impact on almost all major industries. However, one sector that was hit the worst is travel and transport. Flight bookings were down, hotels were closed, no one was renting cars for sightseeing, all cruise ships were docked– a complete nightmare played out as the […]

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Can DIY Web Scraping Tools Serve Enterprises Effectively?

Abhisek Roy
Abhisek Roy
scrape the web

When it comes to scraping data from the web, different web scraping tool take different approaches. Automated Web Scraping often uses bots to extract data from multiple webpages of a website. Screen grabbing is another technique where the aim is to capture the specific pixels that are selected by the user, instead of delving into […]

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Is Scraping Sports Data The New Way To Beat Your Competition?

Abhisek Roy
Abhisek Roy

Scraping Sports Data may be the difference between building a winning or losing team.. Many of us might have seen or heard of the 2011 biographical drama, Moneyball which is an account of a basketball team’s manager’s attempt to assemble a winning team using data and a limited budget. Ever since different metrics related to […]

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The Importance of Data Normalisation

Abhisek Roy
Abhisek Roy

Companies have always used data to stay on the top. When businesses worked out of brick and mortar stores, most of this data crunching was offline since the datasets were smaller. As more companies have moved their businesses online (or at least parts of it), datasets have grown in sizes and now reach sizes up […]

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