🎓 Student Civic Data Lab
Short, hands-on lessons that teach you to read Houston's open data like a pro — spot patterns, question outliers, and turn numbers into neighborhood action.
Data Detective
TipEvery lesson uses real Houston data. Finish one and you'll read a chart faster than most adults. The worksheets are where the learning sticks.
🧠 Your data-literacy score
0/100
Complete lessons below to earn XP and grow your score.
A data point is one piece of information. In Houston's 311 data, a single pothole report is one data point. It has details: where it is, when it was reported, and whether it's fixed.
When you put thousands of data points together, you get a dataset — and patterns start to appear.
When you put thousands of data points together, you get a dataset — and patterns start to appear.
📝 Worksheet
- • Find one 311 record and list three facts it contains.
- • Explain why one data point alone can be misleading.
A dataset is a table where every row is a data point and every column is a kind of fact. Houston publishes hundreds of datasets — permits, crime, parks, and more.
Good datasets tell you who collected them, how often they update, and what each column means.
Good datasets tell you who collected them, how often they update, and what each column means.
📝 Worksheet
- • Open a dataset and name its columns.
- • Who owns this dataset? How often does it update?
An outlier is a value that doesn't fit the pattern. If permit times are usually 10–30 days and one is 800 days, that's an outlier.
Outliers can be real (a huge complicated project) or errors (a typo). A good analyst always asks: is this real, or a mistake?
Outliers can be real (a huge complicated project) or errors (a typo). A good analyst always asks: is this real, or a mistake?
📝 Worksheet
- • Find an outlier in a chart and guess if it is real or an error.
- • What would you do to check?
A trend is the direction data moves over time. Look at many months, not one. After a hurricane, drainage complaints spike — that's a short-term change. If they keep rising for years, that's a trend.
Always ask: what could explain this trend?
Always ask: what could explain this trend?
📝 Worksheet
- • Describe a trend you see in a line chart.
- • List two possible causes.
On a map, each dot is an event at a real place. Clusters show where a lot is happening. But be careful — a cluster might just mean more people live there, or that one area reports more.
Maps show 'where' but you still need 'why'.
Maps show 'where' but you still need 'why'.
📝 Worksheet
- • Find a cluster on a Houston map.
- • Give two reasons it might be there besides the obvious.
Each dataset is owned by a department. Public Works handles streets and drainage. HPD handles police data. Knowing the owner tells you who to ask when numbers look wrong — and who can fix the real problem.
📝 Worksheet
- • Match three datasets to their departments.
- • Who would you contact about a flooding street?
Open data and public records laws mean citizens can see how their government works. Texas has the Public Information Act. Open data portals like Houston's put data online so you don't even have to ask.
This is how democracy stays accountable.
This is how democracy stays accountable.
📝 Worksheet
- • Why does open data matter for democracy?
- • Name one thing you learned from Houston open data.
Never take a number at face value. Ask: Is it complete? Is it fresh? Who collected it? Does the total add up? Could it be biased?
Red flags help, but your own questions matter most. A good data citizen trusts, but verifies.
Red flags help, but your own questions matter most. A good data citizen trusts, but verifies.
📝 Worksheet
- • List four questions to ask about any dataset.
- • Find one red flag and explain it in your own words.