NameDate
BusinessTech Academy · front
Data Dive tracker
A data dive starts with a question about something real. You guess first, look at one chart, then test your guess yourself in the pool. Keep this sheet for every dive. The back has a row for each one.
The five steps, every dive
- Your guess. Before you see any chart, write your guess in two places: the Your guess box on the dive's worksheet, and a short version in the My guess box on the back of this sheet. Do not change either one later. Being wrong is fine: that is how you learn.
- Look. Read the chart. Answer the Find out questions.
- Try it. Open the pool on the same data and do the five steps on screen. Write down the numbers you find.
- Say it. Write one sentence on that dive's worksheet: I think ... because ... and I checked it by ... The last part matters most. Name something you did to the chart.
- What you found. Check your numbers against the screen. Then, on the back, circle whether your guess was right and write the big idea in your own words.
Four questions to ask any chart
- Read a chart: What does this chart show, and what does it leave out?
- Ask who counted: Every number was counted by someone or something. Who counted, and how?
- Compare and choose: The same data can tell different stories. How you slice it changes the answer.
- Find what's missing: Sometimes the most important part of the data is the part that is not there.
What you need
This sheet, a pencil, the dive's worksheet, and a browser for step 3. Each dive takes about 30 minutes.
NameDate
BusinessTech Academy · back
My dives
| Dive | The question | Date | My guess | Was I right? | The big idea, in my words |
|---|---|---|---|---|---|
| 1.1 | 2,508 earthquakes. Can you spot the big ones? | yes · partly · no | |||
| 1.2 | Can a chart make a small difference look huge? | yes · partly · no | |||
| 1.3 | Is 78 bad-air days a lot? | yes · partly · no | |||
| 1.4 | What is the most common tree on LA streets? | yes · partly · no | |||
| 1.5 | Is half of 311 really about old couches? | yes · partly · no | |||
| 2.1 | Which part of New York has the most rats? | yes · partly · no | |||
| 2.2 | Can the city check its own rat numbers? | yes · partly · no | |||
| 2.3 | Do rats take the weekend off? | yes · partly · no | |||
| 2.4 | Did all of LA stop reporting problems for a day? | yes · partly · no | |||
| 2.5 | Can one machine on one mountain be trusted? | yes · partly · no | |||
| 2.6 | What does a school job actually pay? | yes · partly · no | |||
| 3.1 | Did global warming stop in 1998? | yes · partly · no | |||
| 3.2 | Was September a normal month for LA's 311? | yes · partly · no | |||
| 3.3 | Does carbon dioxide help us find planets? | yes · partly · no | |||
| 3.4 | Where do LA's 311 requests really cluster? | yes · partly · no | |||
| 3.5 | Does most of California breathe bad air? | yes · partly · no | |||
| 3.6 | Which students are struggling most? | yes · partly · no | |||
| 3.7 | Does a more expensive college pay off? | yes · partly · no | |||
| 4.1 | Does a blank spot on a map mean clean air? | yes · partly · no | |||
| 4.2 | Is every part of Earth warming? | yes · partly · no | |||
| 4.3 | Are earthquakes in Southern California slowing down? | yes · partly · no | |||
| 4.4 | Are planets like Earth rare? | yes · partly · no |