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| "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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| "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", |
| "dateFinished": "Apr 1, 2015 9:11:10 PM", |
| "status": "FINISHED", |
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| { |
| "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\")", |
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| "id": "20150210-015259_1403135953", |
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| "code": "SUCCESS", |
| "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" |
| }, |
| "dateCreated": "Feb 10, 2015 1:52:59 AM", |
| "dateStarted": "Jul 3, 2015 1:43:40 PM", |
| "dateFinished": "Jul 3, 2015 1:43:45 PM", |
| "status": "FINISHED", |
| "progressUpdateIntervalMs": 500 |
| }, |
| { |
| "text": "%sql \nselect age, count(1) value\nfrom bank \nwhere age \u003c 30 \ngroup by age \norder by age", |
| "config": { |
| "colWidth": 4.0, |
| "graph": { |
| "mode": "multiBarChart", |
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| "name": "age", |
| "index": 0.0, |
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| } |
| ], |
| "values": [ |
| { |
| "name": "value", |
| "index": 1.0, |
| "aggr": "sum" |
| } |
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| "groups": [], |
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| "name": "age", |
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| "name": "value", |
| "index": 1.0, |
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| "id": "20150210-015302_1492795503", |
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| "code": "SUCCESS", |
| "type": "TABLE", |
| "msg": "age\tvalue\n19\t4\n20\t3\n21\t7\n22\t9\n23\t20\n24\t24\n25\t44\n26\t77\n27\t94\n28\t103\n29\t97\n" |
| }, |
| "dateCreated": "Feb 10, 2015 1:53:02 AM", |
| "dateStarted": "Jul 3, 2015 1:43:17 PM", |
| "dateFinished": "Jul 3, 2015 1:43:23 PM", |
| "status": "FINISHED", |
| "progressUpdateIntervalMs": 500 |
| }, |
| { |
| "text": "%sql \nselect age, count(1) value \nfrom bank \nwhere age \u003c ${maxAge\u003d30} \ngroup by age \norder by age", |
| "config": { |
| "colWidth": 4.0, |
| "graph": { |
| "mode": "multiBarChart", |
| "height": 300.0, |
| "optionOpen": false, |
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| "name": "age", |
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| "name": "value", |
| "index": 1.0, |
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| "params": { |
| "maxAge": "35" |
| }, |
| "forms": { |
| "maxAge": { |
| "name": "maxAge", |
| "defaultValue": "30", |
| "hidden": false |
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| "id": "20150212-145404_867439529", |
| "result": { |
| "code": "SUCCESS", |
| "type": "TABLE", |
| "msg": "age\tvalue\n19\t4\n20\t3\n21\t7\n22\t9\n23\t20\n24\t24\n25\t44\n26\t77\n27\t94\n28\t103\n29\t97\n30\t150\n31\t199\n32\t224\n33\t186\n34\t231\n" |
| }, |
| "dateCreated": "Feb 12, 2015 2:54:04 PM", |
| "dateStarted": "Jul 3, 2015 1:43:28 PM", |
| "dateFinished": "Jul 3, 2015 1:43:29 PM", |
| "status": "FINISHED", |
| "progressUpdateIntervalMs": 500 |
| }, |
| { |
| "text": "%sql \nselect age, count(1) value \nfrom bank \nwhere marital\u003d\"${marital\u003dsingle,single|divorced|married}\" \ngroup by age \norder by age", |
| "config": { |
| "colWidth": 4.0, |
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| "marital": "single" |
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| "name": "marital", |
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| "options": [ |
| { |
| "value": "single" |
| }, |
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| "value": "divorced" |
| }, |
| { |
| "value": "married" |
| } |
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| "hidden": false |
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| "msg": "age\tvalue\n19\t4\n20\t3\n21\t7\n22\t9\n23\t17\n24\t13\n25\t33\n26\t56\n27\t64\n28\t78\n29\t56\n30\t92\n31\t86\n32\t105\n33\t61\n34\t75\n35\t46\n36\t50\n37\t43\n38\t44\n39\t30\n40\t25\n41\t19\n42\t23\n43\t21\n44\t20\n45\t15\n46\t14\n47\t12\n48\t12\n49\t11\n50\t8\n51\t6\n52\t9\n53\t4\n55\t3\n56\t3\n57\t2\n58\t7\n59\t2\n60\t5\n66\t2\n69\t1\n" |
| }, |
| "dateCreated": "Feb 13, 2015 11:04:22 PM", |
| "dateStarted": "Jul 3, 2015 1:43:33 PM", |
| "dateFinished": "Jul 3, 2015 1:43:34 PM", |
| "status": "FINISHED", |
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| "text": "%md\n## Congratulations, it\u0027s done.\n##### You can create your own notebook in \u0027Notebook\u0027 menu. Good luck!", |
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| "msg": "\u003ch2\u003eCongratulations, it\u0027s done.\u003c/h2\u003e\n\u003ch5\u003eYou can create your own notebook in \u0027Notebook\u0027 menu. Good luck!\u003c/h5\u003e\n" |
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| "dateCreated": "Feb 13, 2015 11:04:28 PM", |
| "dateStarted": "Apr 1, 2015 9:12:18 PM", |
| "dateFinished": "Apr 1, 2015 9:12:18 PM", |
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| "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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| "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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| "dateCreated": "Mar 26, 2015 9:46:58 PM", |
| "dateStarted": "Jul 3, 2015 1:44:56 PM", |
| "dateFinished": "Jul 3, 2015 1:44:56 PM", |
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| "dateCreated": "Jul 3, 2015 1:30:47 PM", |
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