Year 2 Term 7: Data & Visualization

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Read data from files, analyze it, and create visualizations. The foundation of data science.

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Data All Around Us 📊🌍

Discover what data really is — rows, columns, categorical and numerical — then store a real dataset in Python and count it with a tally dict

Parsing Data with split() ✂️📄

Turn a real CSV dataset — stored as a multi-line string — into a tidy list of dictionaries using split(), skipping the header and converting numeric fields with int(); the exact parsing skill your whole Data Story is built on

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Number Crunching 🔢🧮

Turn a parsed dataset into real insight — compute total, average, minimum, maximum and counts, tally categories with a dict, and find the top record with a loop

Turtle Graphics Charts 🐢📊

Meet Python's turtle — a drawing pen you steer with code — and use it to draw a real, colourful bar chart of your data, with a text-chart fallback for anyone who can't run turtle

Finding the Story in Data 🔎📰

Data alone isn't a story — the story is what the numbers MEAN. Turn stats into plain-English headlines, compare groups, spot trends, and plan your Data Story

Project: Data Story 📊📖

Build a complete Data Story program end-to-end — parse a CSV dataset, compute stats, draw a text bar chart, and print headline insights, all wired together with functions

Data Story Showcase & Celebration 📊🎤

Term 7 finale — polish and present your Data Story like a news reporter, give peer feedback, ace a fun data & viz quiz, and celebrate finishing the data term