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  1. 4 Αυγ 2021 · We’ll demonstrate how to use SQL to parse large datasets and gain valuable insights, in this case, to help you choose what movie to watch next using an IMDb dataset. In this article, we’ll be downloading a dataset directory from IMDb.

  2. 4 Δεκ 2023 · In this article, we’ll embark on a journey through the IMDb dataset using SQL queries to answer a series of intriguing questions. Whether you’re a cinephile or a SQL enthusiast, this ...

  3. This repository contains SQL queries and insights derived from the IMDb movie dataset. The dataset includes information about movies, genres, ratings, actors, directors, and more.

  4. 9 Ιουλ 2021 · Extracting useful information from the IMDb Top 250 movies DataFrame. This post is part 2 of my journey into analyzing the IMDb Top 250 movies. In Part 1; way back in January, I...

  5. 13 Φεβ 2021 · The easiest way is to just download the data from the IMDb alternate interfaces. The file you want is ratings.list.gz. The Top 250 films are listed in the first section.

  6. This dataset contains IMDB Top 250 lists from 1996 to 2020 with every movie's basic information; release year, ranking, score, stars, etc. It is suitable for data visualization. You can also create queries.

  7. 8 Απρ 2024 · Whether it's identifying top-rated movies, analyzing actor collaborations, or spotlighting directorial achievements, our expertise in SQL queries and analysis elevates your understanding of the IMDB dataset, paving the way for informed decision-making and enriched cinematic experiences.

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