- [Instructor] In this problem, we will forecast…the population of California…by educational attainment level.…Our end result will be a table that shows a forecast…for each educational level through the year 2060.…To accomplish this, we will start with our database…of California population predictions by county,…that we used in problems one and three.…We will make use of a second data set…from the California open data portal,…that contains population counts…by age, gender, educational attainment, and income,…for the years 2008 through 2014.…
We'll need to add this data to our graph…so that we can query across both data sets.…To do this, we'll need to refactor…our population prediction data model slightly,…to find common fields for the two data sets.…Once we've combined the data,…we'll write a Cypher query to compute our forecast.…For each year that we are creating a forecast,…we will first compute the total population prediction…at the state level by aggregating data…from our population prediction data set across all counties.…
- Strengths and weaknesses of Neo4j
- Data modeling
- Creating a database
- Joining data sets
- Modeling data for joining data sets
- Searching a database
- CRUD operations
- Performing calculations
Skill Level Intermediate
1. Neo4j in Five Minutes
A brief overview of Neo4j3m 23s
2. Create a Database
3. Join Two Datasets
4. Search a Database
5. Create, Read, Update, and Delete Operations
6. Averages and Calculations
Next steps1m 44s
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