Topic
Global coffee trade. Which countries produce, export, import coffee and in what volume? A comparison of the domestic coffee consumption around the Globe.
https://www.ico.org/new_historical.asp
https://www.kaggle.com/datasets/michals22/coffee-dataset?select=Coffee_domestic_consumption.csv
Plan
Thursday 30 March. Submit proposal. Have a clear data story! Vision for design of dashboard page mapped(see criteria below). Be certain that the data story will be easy to interpret.
Friday 31 March & Saturday 1 April Address Data and Delivery components of project. Explore dataset. Select which way to house the data in a database e.g. SQLite. Develop understanding about powering with a Python Flask API, including HTML/CSS, JavaScript and chosen database.
Monday 3 April. Address Visualisations. Once again, be certain that the data story is easy to interpret.
Vision for design of dashboard page mapped. Leaflet and plotly chart and web scraping attempted. Design includes; 3 charts referencing data 2/3 user-driven interactions e.g. dropdown, filter, zoom.
Construct back end with page running without errors. Selected and played with a JavaScript library not used in class e.g. D3.js, Chart.js, Three.js.
Tuesday 4 April & Wednesday 5 April Be certain question in proposal has been answered.
Check data story is easy to interpret and start to create the slide deck. Will the data story and slide deck maintain audience interest and is it clear? Are images clear and accurate with labels? Be certain visualisations can be supported by precise/ample explanations. Check relevance of material.
Thursday 6 April Check data story is easy to interpret and start to create the slide deck. Will the data story and slide deck maintain audience interest and is it clear? Are images clear and accurate with labels? Be certain visualisations can be supported by precise/ample explanations. Check relevance of material.
Prepare readme. Write-up of findings and implications, supported with numbers and visualisations. Be certain question in proposal has been answered with precise description and findings. Has the questions had discerning statistical analysis? aggregation correlation summary statistics comparison
Tuesday 11 April - Presentation