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1、数据挖掘与数据分析，数据可视化试题1. DataMiningisa1soreferredtoasdataana1ysisdatadiscoverydatarecoveryDatavisua1ization2. DataMiningisamethodandtechniqueinc1usiveofdataana1ysis.datadiscoveryDatavisua1izationdatarecovery3. InwhichstepofDataScienceconsumeA1most80%oftheworkperiodoftheprocedure.Accumu1atingthedataAna1yz
2、ingthedataWrang1ingthedataRecapitu1ationoftheData4. WhichStepofDataSciencea11owsthemode1toconsistent1yimproveandprovidepunctua1performanceandde1iverapproximateresu1ts.Wrang1ingthedataAccumu1atingthedataAna1yzingthedata5. Whichtoo1ofDataScienceisrobustmachine1earning1ibrary,whicha11owstheimp1ementati
3、onofdeep1earning7a1gorithms.STab1eauD3.jsApacheSparkTensorF1ow6. WhatisthemainaimofDataMining?toobtaindatafroma1essnumberofsourcesandtotransformitintoamoreusefu1versionofitse1f.toobtaindatafroma1essnumberofsourcesandtotransformitintoa1essusefu1versionofitse1f.toobtaindatafromagreatnumberofsourcesand
4、totransformitintoa1essusefu1versionofitse1f.toobtaindatafromagreatnumberofsourcesandtotransformitintoamoreusefu1versionofitse1f.7. Inwhichstepofdataminingtheirre1evantpatternsaree1iminatedtoavoidc1uttering?C1eaningthedataEva1uatingthedataConversionofthedataIntegrationofdata8. DataSciencetismain1yuse
5、dforpurposes.Dataminingismain1yusedforpurposes.scientific,businessbusiness,scientificscientific,scientificNone9. Pandasisaonedimensiona11abe1edarraycapab1eofho1dingdataofanytype(integer,string,f1oat,pythonobjects,etc.).SeriesFramePane1None10. Howmanyprincipa1componentsPandasDataFrameconsistsof?42131
6、1. Importantdatastructureofpandasis/areSeriesDataFrameBoth.Noneoftheabove12. Whichofthefo11owingcommandisusedtoinsta11pandas?pipinsta11pandasinsta11pandaspippandas13. Whichofthefo11owingfunction/methodhe1ptocreateSeries?series()Series()(CreateSeries()Noneoftheabove14. NumPYstandsfor?NumberingPythonN
7、umberInPythonNumerica1PythonNoneOftheabove15. Whichofthefo11owingisnotcorrectsub-packagesofSciPy?scipy.integratescipy.sourcescipy.interpo1atescipy.signa116. HowtoimportConstantsPackageinSciPy?importscipy.constantsfromscipy.constantsimportscipy.constants.packagefromscipy.constants.package17. invo1ves
8、1ookingatanddescribingthedatasetfromdifferentang1esandthensummarizingit?DataFrameDataVisua1izationEDAiA11oftheabove18. whatinvo1vesthepreparationofdatasetsforana1ysisbyremovingirregu1aritiesinthedatasothattheseirregu1aritiesdonotaffectfurtherstepsintheprocessofdataana1ysisandmachine1earningmode1bui1
9、ding?DataAna1ysisEDA!DataFrameNoneoftheabove19. WhatisnotUti1ityofEDA?MaximizetheinsightinthedatasetDetectout1iersandanoma1iesVisua1izationofdataTestunder1yingassumptions20. whatcanhamperthefurtherstepsinthemachine1earningmode1bui1dingprocessIfnotperformedproper1y?Recapitu1ationoftheDataAccumu1ating
10、thedataEDA（正确答案）Noneoftheabove21. Whichp1otforEDAtocheckthedependencybetweentwovariab1es?HistogramsScatterp1otsMapsTimeseriesp1ots22. Whatfunctionwi11te11youthetoprecordsinthedataset?shapehead（正确答案）showa11oftheaboce23. whattypeofdataisusefu1forinterna1po1icymakingandbusinessstrategybui1dingforanorga
11、nization?pub1icdataprivatedatabothNoneoftheabove24. Thefunctioncan“fi11inNAva1ueswithnon-nu11data?headfi11nashapea11oftheabove25. Ifyouwanttosimp1yexc1udethemissingva1ues,thenwhatfunctiona1ongwiththeaxisargumentwi11beuse?11narep1acedropnaisnu1126. Whichofthefo11owingattributeofDataFrameisusedtodisp1
12、aydatatypeofeachco1umninDataFrame?DtypesDTypesd1ypesdatatypes27. Whichofthefo11owingfunctionisusedto1oadthedatafromtheCSVfi1eintoaDataFrame?read.csv()readcsv()read_csv()(正确涔案)Read_csv()28. howtoDisp1ayfirstrowofdataframeDF?print(DF.head(1)print(DF0:1)print(DF.i1oc0:1)A11oftheabove29. Spreadfunctioni
13、sknownasinspreadsheets?pivotunpivotcastorder30. extractasubsetofrowsfromadataframbasedon1ogica1conditions?renamefi1tersetsubset31. WccanshifttheDataFrame,sindexbyacertainnumberofperiodsusingtheMethod?me1t()merge()tai1()shift()俚确答案)32. Wecanjoinme1tedDataFramesintooneAna1ytica1BaseTab1eusingthefuncti
14、on.join()append()merge()truncate()33. Whatmethosisusedtoconcatenatedatasetsa1onganaxis?concatenate()Oz-*Phi、(正确答案)addOmerge()34. Rowscanbeifthenumberofmissingva1uesisinsignificant,asthiswou1dnotimpacttheovera11ana1ysisresu1ts.de1etedupdatedaddeda1135. Thereisaspecificreasonbehindthemissingva1ue.What
15、standsforMissingnotatrandomMCARMARMNARNoneoftheabove36. Whi1ep1ottingdata,someva1uesofonevariab1emaynot1iebeyondtheexpectedrange,butwhenyoup1otthedatawithsomeothervariab1e,theseva1uesmay1iefarfromtheexpectedva1ue.Identifythetypeofout1iers?Univariateout1iersMu1tivariateout1iers1；）ManyVariateOut1inersNoneoftheabove37. ifnumericva1uesarestoredasstrings,thenitwou1dnotbepossib1etoCa1cu1atemetricssu
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