As a Power BI developer, the goal is to analyze a YouTube dataset to extract

valuable insights and provide actionable recommendations for content creators

and marketers. The dataset comprises various engagement metrics and videos

attributes obtained from YouTube's API, enabling us to delve into viewer

behavior, video performance, and factors influencing engagement. The analysis

will empower stakeholders to optimize their content strategies and enhance

audience engagement on the platform.

Problem Statement:

The primary objective of this analysis is to uncover patterns, trends, and

correlations within the YouTube dataset focusing on engagement metrics and

video attributes. The analysis aims to answer key questions that will guide

content creators and marketers in making informed decisions to improve their

YouTube content and maximize viewer interaction.

Data Sources:

The YouTube dataset will be extracted, transformed, and loaded $($ETL$)$ into

Power BI$.$ The data retrieval will adhere to YouTube's terms of service and data

privacy guidelines.

Tasks To Be Performed:

$1.$ Display the maximum uploads in a card visual.

$2.$ Display the minimum view ranks in a card visual.

$3.$ Display the average views for the last $30$ days in a card visual. $($Data

Cleansing is required$).$

$4.$ Generate a line chart to highlight the title and maximum upload only who