This project focuses on analyzing and visualizing the results of a survey conducted among data professionals. The goal is to uncover trends, patterns, and insights about their roles, tools, skills, and challenges. From data import to advanced visualizations, the analysis leverages a variety of techniques to ensure a comprehensive understanding of the survey results.
- Importing Survey Dataset and Initial Visualization: A first look at the data, including demographic and professional information.
- Use of Power Query: Data cleaning and preparation to address inconsistencies and ensure accuracy.
- Managing Relationships: Connecting survey tables for seamless data exploration and analysis.
- Use of DAX: Developing calculated measures and columns to derive meaningful insights.
- Drill Down Features: Exploring hierarchical data to examine detailed survey responses.
- Conditional Formatting: Highlighting significant trends and variances dynamically.
- Use of Bins and Lists: Categorizing survey data for better segmentation and analysis.
- Use of Popular Visualizations: Employing charts and graphs to effectively communicate key findings.
- Power BI (or other data visualization platforms)
- Power Query
- DAX (Data Analysis Expressions)
- Importing Survey Data: Load the survey results into the workspace from various sources.
- Data Preparation: Utilize Power Query to clean and transform the survey data.
- Relationship Management: Establish connections between tables to facilitate multidimensional analysis.
- DAX Calculations: Develop measures to calculate averages, percentages, and other metrics.
- Drill Down Features: Enable navigation through hierarchical survey responses for in-depth analysis.
- Conditional Formatting: Highlight patterns in responses using rules-based formatting.
- Bins and Lists: Group responses into segments for improved clarity.
- Advanced Visualization: Craft compelling visual narratives using bar charts, line graphs, pie charts, and more.
