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💡 Title and Header
At the top, there's the title "Netflix" and an icon indicating that this dashboard relates to Netflix's film and TV content. It also displays the total content count (5476) and the overall average rating (6.7).
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📊 KPI (Key Performance Indicator)
This section presents key metrics such as the number of films, TV shows, average rating, and total votes for each category.
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📈 Bar Chart of Title Count by Rating
This chart shows the count of titles (films or TV shows) based on rating groups (1-9). Users can click on a bar to view details of the content falling into that rating group.
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📊 Bar Chart of Average Rating and Title Count per Genre
This chart displays the average rating and title count for each genre, providing insight into which genre has the highest rating and the most titles.
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🌍 Country Filter and Detail Table
At the bottom left, there's a filter to select countries, and a table displaying details such as title count, average rating, vote count, and votes per title for each selected country.
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🗺️ World Map
This world map shows the distribution of titles (films or TV shows) across different countries. Users can use the filter above the map to display visualizations based on different metrics such as title count, average rating per title, vote count, or votes per title.
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📋 Title Table
On the right side, there's a table listing titles along with details such as plot, rating, and vote count. This table allows users to view detailed information about specific titles.
Overall, this dashboard is designed to provide a comprehensive overview of Netflix's film and TV content, including rating information, vote counts, geographic distribution, and title-specific details. The visually appealing and interactive interface helps users explore the data easily and find relevant information.
Visualization.mp4
This Power BI project aims to create an interactive dashboard that provides insights into the Netflix TV shows and movie catalog.
The data for this project is sourced from the Kaggle Netflix Dataset, which contains information about various titles, including their genres, countries of production, release years, ratings, and number of votes.
The logos and images used in this project are taken from the official Netflix Branding website.
The color palette used in the visualizations is generated using the Coolors Gradient Creation tool, which provides a visually appealing gradient based on Netflix's signature red color.
Before starting this project, it is essential to have a solid understanding of the following Power BI concepts:
- Power BI: Power BI is a cloud-based set of analytic tools and capabilities that expand the utility of Excel for data analytics. It is tightly integrated with Excel, works on computers and mobile devices, and is offered at various levels of capabilities.
- Key Competencies:
- Power BI DAX: Knowledge of Data Analysis Expressions, which includes a library of functions, statements, queries, and operators to build formulas and expressions.
- Data Sources: Knowledge of getting data from multiple databases and files, as well as troubleshooting links to data sources.
- Cleaning Data: Knowledge of fixing column metadata, strategies for fixing outliers and missing data.
- Data Modeling: Modeling data for analysis by working with relationships, defining hierarchies, configuring properties, categories, and formatting.
- Visualizing Data: Ability to create maps, charts, graphs, and matrices.
- Administrative: Knowledge of the capabilities of various Power BI offerings and managing access to data.
By following this documentation and having a solid understanding of the prerequisites, you will be able to create an insightful and visually appealing Power BI dashboard for the Netflix dataset🤗.
Have a great day!✨