- **Maria and Sanjay**: They access an open data archive that contains years of standardized test performance for public schools in the city they are considering moving to.
- **Anne**: She collects open data from her state regarding nursing homes, specifically looking at records that show citations and license standing for different facilities.
- **Amari**: He and his neighbors utilize an online app provided by the city to report potholes, which includes historical data on repair times and maintenance records.
### 2. Clean and/or Filter Data
- **Maria and Sanjay**: While analyzing standardized test data, they filter through the performance data of specific schools to focus only on those located in their desired neighborhood.
- **Anne**: She cleans her data set by focusing only on nursing homes that have clean citation records and are in good standing, discarding any facilities with negative records.
- **Amari**: He and his neighbors analyze the data on pothole repairs by filtering it down to their specific neighborhood to compare it with other areas.
### 3. Visualize and Find Patterns
- **Amari**: After collecting a year's worth of repair data, he visualizes the average repair times for potholes in his neighborhood versus other neighborhoods, showcasing the disparity to the City Council.
- **Maria and Sanjay**: They likely look for trends in school performance over the years presented in the data to identify schools that consistently perform well.
- **Anne**: She may visualize the data to compare the number of citations across nursing homes, helping her to identify which facilities feel trustworthy based on historical performance.
Rephrase the sentences in 8th grade
1 answer
1. Collect or Choose Data
Maria and Sanjay: They found a public data archive that has years of test scores for schools in the city where they want to move.
Anne: She gathered public data from her state about nursing homes, specifically checking for records that show violations and whether the facilities are properly licensed.
Amari: He and his neighbors use a city app to report potholes and can see past data on how long repairs took and maintenance records.
2. Clean and/or Filter Data
Maria and Sanjay: While looking at the test scores, they only focus on schools in the neighborhood they are interested in, removing data from other areas.
Anne: She cleans up her data by only looking at nursing homes that have clean records and are in good standing, getting rid of any with negative reports.
Amari: He and his neighbors narrow down the data on pothole repairs to just their neighborhood, comparing it to other areas.
3. Visualize and Find Patterns
Amari: After collecting a year’s worth of repair data, he creates a chart showing the average time to fix potholes in his neighborhood compared to others, highlighting the differences for the City Council.
Maria and Sanjay: They probably search for patterns in the test scores over the years to find schools that do well consistently.
Anne: She might create a chart to compare the number of violations at different nursing homes, helping her see which ones seem the most trustworthy based on their history.
