SimaGhanadiyan / Adventure-Works

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Adventure Works Power BI Project

Description

Adventure Works is a large multinational company that manufactures and distributes products in four categories: bikes, bike components, accessories, and clothing. The company operates in three continents and six countries, including North America (United States & Canada), Europe (France, Germany, and the United Kingdom), and Australia (Australia). Adventure Works sells its products through two main channels: online sales and wholesalers.

Overview

This Power BI project aims to analyze and visualize data related to Adventure Works using Power BI Desktop. It covers various aspects such as data transformation, building a relational data model, creating calculated columns and measures with DAX, and designing interactive dashboards to visualize the data effectively.

Features Covered:

  • Connect and Transform Data:

    • Utilize Power BI's query editor to connect and transform raw data.
    • Explore data quality tools and key profiling metrics.
    • Transform tables using text, numerical, and date/time tools.
    • Practice combining, modifying, and refreshing queries.
  • Build a Relational Data Model:

    • Understand basic principles of data modeling, including normalization, fact & dimension tables, and common schemas.
    • Create table relationships using primary and foreign keys.
    • Configure report filters and trace filter context as it flows between related tables in the model.
    • Explore data modeling options like hierarchies, data categories, and hidden fields.
  • Create Calculated Columns and Measures with DAX:

    • Learn basic operators and common function categories (math, logical, text, date/time, filter, etc.).
    • Explore nested functions and more complex topics like iterators and time intelligence patterns.
  • Design Interactive Dashboards:

    • Visualize data using tools and techniques for inserting, formatting, and filtering visuals in the Power BI Report view.
    • Add interactivity using tools like bookmarks, slicer panels, parameters, tooltips, and report navigation.

Dependencies

  • Power BI Desktop image image image image

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