Child Care Data Analysis: (the who, what, and where of child care with a wealth of information on active child care programs by region, county, or zip code) |
• Raw Data - with minimal cleanup required (e.g., facility name, address, regulation type, facility type, licensed capacity, age range) |
• Analysis (e.g., pivot tables, comparative analysis, etc.) • Additional program details (e.g., cost of care, accreditation status, accreditation status, accepts MO subsidy, etc.) |
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Demographics: (to better understand a population and a market) |
• Basic demographics (e.g., population, household income, age breakdown, etc.) |
• Advanced demographics (e.g., Income inequality ratio, Number of business establishments, Percent of cost-burdened households, Population living in rural area, percent, etc.) |
• Key insights and issues • Computational analysis |
Data Visualization: (understand the patterns hidden in the numbers) |
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• Basic graphs and charts |
• Advanced graphs & charts |
Geographic Visualization: (spot geographic patterns and trends that cannot be seen in database tables and spreadsheets) |
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• Simple maps (e.g., census data, optimal routes, mapping your own data, etc.) |
• Advanced maps (e.g., site evaluation, data mapping with demographic overlays, drive-time rings, etc.) |