This project explores stories hidden within data through visualizations across fields like economics, health, environment, and society.
Each plot is linked with its code and dataset for easy exploration.
plots/– Visualizationscode/– Jupyter Notebooksdata/– Source datasets
This section highlights weekly data stories created from public datasets, with links to the notebooks, visual outputs, and related posts.
Notebook: Tourism_Q1_2025.ipynb
LinkedIn Post: Read the analysis
Focus: A multi-dimensional look at Canada’s tourism sector using Statistics Canada data, including GDP share (2010–2025), demand, output, and employment patterns (2022–2025). The project explores quarterly cycles, recovery trends post-COVID, and the relative contribution of key industries such as transportation, accommodation, and food services.
Notebook: Atlantic_Food_Price_Trends.ipynb
LinkedIn Post: Read the analysis
Focus: Monthly and quarterly trends in retail food prices across the Atlantic provinces, including essential items, proteins, and fresh produce. The analysis highlights cumulative inflation patterns, seasonal variations, and provincial price differences from 2017 to 2025.
Notebook: Balance_of_international_payments_Q1_2025.ipynb
LinkedIn Post: Read the analysis
Focus: Quarterly trends in Canada’s investment income receipts, sources of income (direct, portfolio, interest), and the evolution of net investment income (receipts vs. payments) from 2010 to Q1 2025.
Notebook: unemployment_atlantic_2022_25.ipynb
LinkedIn Post: Read the analysis
Focus: Monthly unemployment rates (seasonally adjusted) for total population, women, and men across Newfoundland and Labrador, Prince Edward Island, Nova Scotia, and New Brunswick.
Notebook: building permit.ipynb
LinkedIn Post: Read the analysis
Focus: Trends in total and per capita building permit values across Atlantic provinces (2021–2025), including growth patterns and province-level differences.
Notebook: Food_expenditures.ipynb
LinkedIn Post: Read the analysis
Focus: Breakdown of food expenditure categories for Canadian households, including province-level comparisons.


















