Portfolio

Introduction to the Analysis of Non-Economic Determinants of Happiness with Tableau and R.

This research emerges from personal observations made across diverse countries, where an unexpected contrast was noted: individuals in economically less affluent countries often appeared more outwardly happy than those in wealthier, “first-world” nations. This observation sparked curiosity and scrutiny of the World Happiness Report, where paradoxically, some of the highest-ranked nations in terms of happiness also exhibited high suicide rates. This phenomenon highlighted the complex and multidimensional nature of happiness and well-being, extending beyond purely economic metrics like GDP.

Grounded in psychology, this study adopts a subjective well-being approach to assess happiness, focusing on intrinsic and environmental factors such as mental health and sunlight exposure. Psychological research, particularly the work of Ed Diener and the positive psychology movement, emphasises that subjective well being measured by individual perceptions of life satisfaction, emotions, and mental health provides a more nuanced and accurate understanding of happiness compared to external metrics like income. To align with this perspective, traditional economic indicators, especially GDP, are removed from the analysis, allowing an examination of happiness influenced by non-economic variables.

Data Analytics Projects

A showcase of diverse data projects highlighting skills in data cleaning, analysis, visualisation, and application development using SQL, R, ggplot2, Shiny, and more.

Data Cleaning with R: A Journey in Efficient Data Preparation.

Click here to explore my portfolio project, showcasing data cleaning techniques in R, inspired by the guidance of Dr. Greg Martin.

Discover meaningful patterns and trends.

Unlock the power of data analysis with R, DPLYR, and GGPLOT2. .Discover meaningful patterns and trends.

Data wrangling with tidyverse

Utilize R to filter, subset data, identify missing values, select specific columns, delay the appearance of a column, reorder rows, arrange by specific criteria, and apply mutations.

Sales Performance Dashboard

This Shiny app provides a real-time overview of key sales metrics for a hypothetical company, helping to monitor sales volume, revenue, customer acquisition, and profits across regions and product categories. It visualizes trends through interactive charts, offering insights into segment performance, profit margins, and regional sales distributions, empowering data-driven decisions to optimize sales strategies and customer engagement.

Analyse Dataset in a Model Car Database with MySQL Workbench

I analysed global development trends

using the Gapminder dataset and visualized the results with ggplot2. Key metrics such as GDP per capita, life expectancy, and population growth were explored across different countries and continents over time. The visualizations revealed patterns of economic growth, health improvements, and demographic shifts, highlighting disparities between regions. These insights were represented through scatter plots, line charts, and facet grids for better comparison.

Empower Data-Driven Decisions

Digital Marketing Campaign Dashboard Analysis

Description

This Tableau dashboard presents an in-depth analysis of a digital marketing campaign’s performance. Key metrics such as sales distribution, ROI by category, segment performance, and previous month’s sales are visualized for actionable insights.

What Problem Does This Analysis Solve?

Exploratory Dashboard for Profit Analysis

Description

This Tableau dashboard serves as an exploratory tool to analyze profit trends, identify high-performing product categories, and assess regional profitability.

Key Use and Benefits:

  • Interactive Profit Analysis: