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Скачать или смотреть Databricks | 08 - EPIAI - 01 Netflix Stream & Score IMDb A Descriptive Data Analysis On A Dataset

  • academy.neuavenue
  • 2025-09-10
  • 31
Databricks | 08 - EPIAI - 01 Netflix Stream & Score IMDb A Descriptive Data Analysis On A Dataset
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Описание к видео Databricks | 08 - EPIAI - 01 Netflix Stream & Score IMDb A Descriptive Data Analysis On A Dataset

Databricks | 08 - EPIAI - 01 Netflix Stream & Score IMDb A Descriptive Data Analysis On A Dataset

Data Cleaning: Checked for missing values, duplicates, and converted data types if necessary.

EPIA (Excellence Project In Agile Industries )

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This project aims to perform a descriptive data analysis on a dataset that includes information about various movies and TV shows. The dataset contains multiple attributes such as the title, content type (movie or show), age certification, release year, IMDb ratings, number of votes, runtime, and more. Through univariate and comparative visualizations, we explore patterns in content ratings, the distribution of IMDb scores, runtime statistics, and how these vary across different age groups and content types. This analysis helps us understand general trends in popular content and viewer preferences across platforms. All visualizations are presented in an engaging and insightful way for both technical and non-technical audiences.
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Azure Databricks Community Edition for free trial by using compute object in your Databricks Workspace

This video guides you step-by-step on how to access the English version of the Databricks Community Edition free trial. Learn how to sign up for a no-cost workspace where you can explore big data processing with Apache Spark, collaborate on projects, and build your skills in data engineering and analytics. Perfect for students, educators, and hobbyists looking to get started with Databricks quickly. In this tutorial, we cover the signup process, key features of the Community Edition, and useful tips to make the most of your free trial.

Stay tuned for more videos in this series where we dive deeper into data ingestion, transformations, and machine learning workflows on Databricks!

If you find this video helpful, please like, comment, and subscribe to support more beginner-friendly Databricks tutorials. Feel free to ask questions or suggest topics for future videos.

This description is informative, beginner-friendly, and encourages engagement while outlining what viewers will learn and expect next steps


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