Welcome to my Data Analytics and Visualization Capstone Project. This comprehensive project showcases the practical skills I've developed throughout the Data Analytics Professional Certificate program, demonstrating my ability to transform raw data into meaningful insights.
The repository contains:
- An interactive dashboard built with IBM Cognos that presents key findings through dynamic visualizations
- A detailed presentation analyzing both the dashboard insights and additional data collected through API integration from Module 1
All coursework assignments are organized in the "4 Modules labs and assignments" folder, covering these essential data analytics competencies:
Module 1 - Data Collection
Module 2 - Data Wrangling
Module 3 - Exploratory Data Analysis
Module 4 - Data Visualization
- IBM Cognos Analytics account
- Appropriate permissions
- Organization network access
For better viewing experience, I've included high-resolution dashboard images in the "Dashboard Tabs" folder as a supplement to the PDF version.
Interactive dashboard analysis of technology usage and trends using IBM Cognos Analytics.
Interactive dashboard analysis of technology usage and trends using IBM Cognos Analytics. The dashboard visualizes current technology usage, future trends, and demographic information from survey data.
The dashboard consists of 3 main tabs:
- Top 10 Programming Languages (Bar Chart)
- Top 10 Databases (Column Chart)
- Platform Usage (Word Cloud)
- Top 10 Web Frameworks (Hierarchy Bubble Chart)
- Top 10 Desired Programming Languages (Bar Chart)
- Top 10 Desired Databases (Column Chart)
- Desired Platforms (Tree Map)
- Top 10 Desired Web Frameworks (Hierarchy Bubble Chart)
- Gender Distribution (Pie Chart)
- Geographic Distribution (Map Chart)
- Age Distribution (Line Chart)
- Education Level by Gender (Stacked Bar Chart)
m5_survey_data_technologies_normalised.csv
: Technology usage and preferences datam5_survey_data_demographics.csv
: Demographic information of respondents
- Demographics tab is filtered to show only "Man" and "Woman" categories