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restore tutoral note

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Lee moon soo 2016-11-24 14:25:14 -08:00
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notebook/2A94M5J1Z/note.json
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@ -4,36 +4,27 @@
"text": "%md\n## Welcome to Zeppelin.\n##### This is a live tutorial, you can run the code yourself. (Shift-Enter to Run)",
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"data": "\u003ch2\u003eWelcome to Zeppelin.\u003c/h2\u003e\n\u003ch5\u003eThis is a live tutorial, you can run the code yourself. (Shift-Enter to Run)\u003c/h5\u003e\n"
}
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"msg": "\u003ch2\u003eWelcome to Zeppelin.\u003c/h2\u003e\n\u003ch5\u003eThis is a live tutorial, you can run the code yourself. (Shift-Enter to Run)\u003c/h5\u003e\n"
},
"dateCreated": "Feb 13, 2015 11:16:21 PM",
"dateStarted": "Apr 1, 2015 9:11:09 PM",
@ -44,109 +35,86 @@
{
"title": "Load data into table",
"text": "import org.apache.commons.io.IOUtils\nimport java.net.URL\nimport java.nio.charset.Charset\n\n// Zeppelin creates and injects sc (SparkContext) and sqlContext (HiveContext or SqlContext)\n// So you don\u0027t need create them manually\n\n// load bank data\nval bankText \u003d sc.parallelize(\n IOUtils.toString(\n new URL(\"https://s3.amazonaws.com/apache-zeppelin/tutorial/bank/bank.csv\"),\n Charset.forName(\"utf8\")).split(\"\\n\"))\n\ncase class Bank(age: Integer, job: String, marital: String, education: String, balance: Integer)\n\nval bank \u003d bankText.map(s \u003d\u003e s.split(\";\")).filter(s \u003d\u003e s(0) !\u003d \"\\\"age\\\"\").map(\n s \u003d\u003e Bank(s(0).toInt, \n s(1).replaceAll(\"\\\"\", \"\"),\n s(2).replaceAll(\"\\\"\", \"\"),\n s(3).replaceAll(\"\\\"\", \"\"),\n s(5).replaceAll(\"\\\"\", \"\").toInt\n )\n).toDF()\nbank.registerTempTable(\"bank\")",
"user": "anonymous",
"dateUpdated": "Nov 19, 2016 12:42:20 PM",
"dateUpdated": "Jan 14, 2016 7:58:56 PM",
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"data": "\nimport org.apache.commons.io.IOUtils\n\nimport java.net.URL\n\nimport java.nio.charset.Charset\n\nbankText: org.apache.spark.rdd.RDD[String] \u003d ParallelCollectionRDD[0] at parallelize at \u003cconsole\u003e:32\n\ndefined class Bank\n\nbank: org.apache.spark.sql.DataFrame \u003d [age: int, job: string, marital: string, education: string, balance: int]\n"
}
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"type": "TEXT",
"msg": "import org.apache.commons.io.IOUtils\nimport java.net.URL\nimport java.nio.charset.Charset\nbankText: org.apache.spark.rdd.RDD[String] \u003d ParallelCollectionRDD[32] at parallelize at \u003cconsole\u003e:65\ndefined class Bank\nbank: org.apache.spark.sql.DataFrame \u003d [age: int, job: string, marital: string, education: string, balance: int]\n"
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"dateStarted": "Jul 3, 2015 1:43:40 PM",
"dateFinished": "Jul 3, 2015 1:43:45 PM",
"status": "FINISHED",
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"text": "%sql \nselect age, count(1) value\nfrom bank \nwhere age \u003c 30 \ngroup by age \norder by age",
"dateUpdated": "Nov 19, 2016 12:42:14 PM",
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},
"dateCreated": "Feb 10, 2015 1:53:02 AM",
"dateStarted": "Jul 3, 2015 1:43:17 PM",
@ -156,51 +124,44 @@
},
{
"text": "%sql \nselect age, count(1) value \nfrom bank \nwhere age \u003c ${maxAge\u003d30} \ngroup by age \norder by age",
"user": "anonymous",
"dateUpdated": "Nov 19, 2016 12:42:52 PM",
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@ -210,21 +171,16 @@
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"dateCreated": "Feb 12, 2015 2:54:04 PM",
"dateStarted": "Nov 19, 2016 12:42:52 PM",
"dateFinished": "Nov 19, 2016 12:42:54 PM",
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@ -232,42 +188,38 @@
"text": "%sql \nselect age, count(1) value \nfrom bank \nwhere marital\u003d\"${marital\u003dsingle,single|divorced|married}\" \ngroup by age \norder by age",
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@ -292,17 +244,12 @@
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"dateCreated": "Feb 13, 2015 11:04:22 PM",
"dateStarted": "Jul 3, 2015 1:43:33 PM",
@ -314,36 +261,27 @@
"text": "%md\n## Congratulations, it\u0027s done.\n##### You can create your own notebook in \u0027Notebook\u0027 menu. Good luck!",
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"dateCreated": "Feb 13, 2015 11:04:28 PM",
"dateStarted": "Apr 1, 2015 9:12:18 PM",
@ -353,48 +291,6 @@
},
{
"text": "%md\n\nAbout bank data\n\n```\nCitation Request:\n This dataset is public available for research. The details are described in [Moro et al., 2011]. \n Please include this citation if you plan to use this database:\n\n [Moro et al., 2011] S. Moro, R. Laureano and P. Cortez. Using Data Mining for Bank Direct Marketing: An Application of the CRISP-DM Methodology. \n In P. Novais et al. (Eds.), Proceedings of the European Simulation and Modelling Conference - ESM\u00272011, pp. 117-121, Guimarães, Portugal, October, 2011. EUROSIS.\n\n Available at: [pdf] http://hdl.handle.net/1822/14838\n [bib] http://www3.dsi.uminho.pt/pcortez/bib/2011-esm-1.txt\n```",
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"data": "\u003cp\u003eAbout bank data\u003c/p\u003e\n\u003cpre\u003e\u003ccode\u003eCitation Request:\n This dataset is public available for research. The details are described in [Moro et al., 2011]. \n Please include this citation if you plan to use this database:\n\n [Moro et al., 2011] S. Moro, R. Laureano and P. Cortez. Using Data Mining for Bank Direct Marketing: An Application of the CRISP-DM Methodology. \n In P. Novais et al. (Eds.), Proceedings of the European Simulation and Modelling Conference - ESM\u00272011, pp. 117-121, Guimarães, Portugal, October, 2011. EUROSIS.\n\n Available at: [pdf] http://hdl.handle.net/1822/14838\n [bib] http://www3.dsi.uminho.pt/pcortez/bib/2011-esm-1.txt\n\u003c/code\u003e\u003c/pre\u003e\n"
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"dateCreated": "Mar 26, 2015 9:46:58 PM",
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"dateUpdated": "Nov 18, 2016 10:38:40 AM",
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@ -406,13 +302,31 @@
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"msg": "\u003cp\u003eAbout bank data\u003c/p\u003e\n\u003cpre\u003e\u003ccode\u003eCitation Request:\n This dataset is public available for research. The details are described in [Moro et al., 2011]. \n Please include this citation if you plan to use this database:\n\n [Moro et al., 2011] S. Moro, R. Laureano and P. Cortez. Using Data Mining for Bank Direct Marketing: An Application of the CRISP-DM Methodology. \n In P. Novais et al. (Eds.), Proceedings of the European Simulation and Modelling Conference - ESM\u00272011, pp. 117-121, Guimarães, Portugal, October, 2011. EUROSIS.\n\n Available at: [pdf] http://hdl.handle.net/1822/14838\n [bib] http://www3.dsi.uminho.pt/pcortez/bib/2011-esm-1.txt\n\u003c/code\u003e\u003c/pre\u003e\n"
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@ -423,13 +337,8 @@
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