Commitd36bffa

James Lee

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improve AverageHousePriceProblem and WordCount

1 parent1b5926d commitd36bffaCopy full SHA for d36bffa

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-5

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src/main/java/com/sparkTutorial/pairRdd/aggregation/reducebykey
- WordCount.java
- housePrice
  - AverageHousePriceProblem.java

-5

lines changed

Lines changed: 1 addition & 1 deletion

Original file line number	Diff line number	Diff line change
`@@ -14,7 +14,7 @@`
`14`	`14`	`importjava.util.Arrays;`
`15`	`15`	`importjava.util.Map;`
`16`	`16`
`17`		`-publicclassWorldCount {`
	`17`	`+publicclassWordCount {`
`18`	`18`
`19`	`19`	`publicstaticvoidmain(String[]args)throwsException {`
`20`	`20`

Lines changed: 4 additions & 4 deletions

Original file line number	Diff line number	Diff line change
`@@ -5,11 +5,11 @@ public class AverageHousePriceProblem {`
`5`	`5`
`6`	`6`	`publicstaticvoidmain(String[]args)throwsException {`
`7`	`7`
`8`		`-/* TODO: Create a Spark program to read the house data from in/RealEstate.csv, output the average price for houses with different number of bedrooms.`
	`8`	`+/* Create a Spark program to read the house data from in/RealEstate.csv,`
	`9`	`+ output the average price for houses with different number of bedrooms.`
`9`	`10`
`10`		`- The HOUSES dataset contains a collection of recent real estate listings in San Luis Obispo county and`
`11`		`- around it. The dataset is provided in two formats: as a CSV file and as a Microsoft Excel (19972003)`
`12`		`- spreadsheet.`
	`11`	`+ The houses dataset contains a collection of recent real estate listings in San Luis Obispo county and`
	`12`	`+ around it.`
`13`	`13`
`14`	`14`	`The dataset contains the following fields:`
`15`	`15`	`1. MLS: Multiple listing service number for the house (unique ID).`

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