{"id":"https://openalex.org/W3176499236","doi":"https://doi.org/10.1007/978-1-4842-6825-4_7","title":"Analyzing the Data","display_name":"Analyzing the Data","publication_year":2021,"publication_date":"2021-01-01","ids":{"openalex":"https://openalex.org/W3176499236","doi":"https://doi.org/10.1007/978-1-4842-6825-4_7","mag":"3176499236"},"language":"en","primary_location":{"id":"doi:10.1007/978-1-4842-6825-4_7","doi":"https://doi.org/10.1007/978-1-4842-6825-4_7","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-1-4842-6825-4_7","pdf_url":null,"source":{"id":"https://openalex.org/S4306462844","display_name":"Apress eBooks","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"ebook platform"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Data Science with Raspberry Pi","raw_type":"book-chapter"},"volume":{"id":"https://openalex.org/W4241961631","display_name":"Data Science with Raspberry Pi"},"type":"book-chapter","is_traditional":true,"indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5042322363","display_name":"K. Mohaideen Abdul Kadhar","orcid":"https://orcid.org/0000-0001-9722-3013","observed_orcids":["https://orcid.org/0000-0001-9722-3013"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"K. Mohaideen Abdul Kadhar","raw_affiliation_strings":["Pollachi, Tamil Nadu, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Pollachi, Tamil Nadu, India","institution_ids":[]}]},{"author_position":"last","author":{"id":null,"display_name":"G. Anand","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"G. Anand","raw_affiliation_strings":["Pollachi, Tamil Nadu, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Pollachi, Tamil Nadu, India","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.0,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"135","last_page":"154"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13141","display_name":"Statistical Methods and Applications","score":0.3244999945163727,"subfield":{"id":"https://openalex.org/subfields/2613","display_name":"Statistics and Probability"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T13141","display_name":"Statistical Methods and Applications","score":0.3244999945163727,"subfield":{"id":"https://openalex.org/subfields/2613","display_name":"Statistics and Probability"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T13373","display_name":"Data Mining and Machine Learning Applications","score":0.32420000433921814,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10799","display_name":"Data Visualization and Analytics","score":0.13979999721050262,"subfield":{"id":"https://openalex.org/subfields/1704","display_name":"Computer Graphics and Computer-Aided Design"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/exploratory-data-analysis","display_name":"exploratory data analysis","score":1.0},{"id":"https://openalex.org/keywords/data-summarization","display_name":"data summarization","score":0.8140000104904175},{"id":"https://openalex.org/keywords/data-visualization","display_name":"data visualization","score":0.7110000252723694},{"id":"https://openalex.org/keywords/data-quality-issues","display_name":"data quality issues","score":0.531000018119812},{"id":"https://openalex.org/keywords/machine-learning-data-preparation","display_name":"machine learning data preparation","score":0.8019999861717224}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7555795907974243},{"id":"https://openalex.org/C120894424","wikidata":"https://www.wikidata.org/wiki/Q1322871","display_name":"Exploratory data analysis","level":2,"score":0.7180911302566528},{"id":"https://openalex.org/C2776372474","wikidata":"https://www.wikidata.org/wiki/Q508291","display_name":"Simplicity","level":2,"score":0.650454044342041},{"id":"https://openalex.org/C3018260909","wikidata":"https://www.wikidata.org/wiki/Q1322871","display_name":"Exploratory analysis","level":2,"score":0.623528003692627},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5327836275100708},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5156515836715698},{"id":"https://openalex.org/C2780586882","wikidata":"https://www.wikidata.org/wiki/Q7520643","display_name":"Simple (philosophy)","level":2,"score":0.5037233233451843},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.4989349842071533},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.06923326849937439},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/978-1-4842-6825-4_7","doi":"https://doi.org/10.1007/978-1-4842-6825-4_7","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-1-4842-6825-4_7","pdf_url":null,"source":{"id":"https://openalex.org/S4306462844","display_name":"Apress eBooks","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"ebook platform"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Data Science with Raspberry Pi","raw_type":"book-chapter"}],"best_oa_location":null,"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W7151249393","https://openalex.org/W4406479237","https://openalex.org/W4385883778","https://openalex.org/W1565692342","https://openalex.org/W4413432147","https://openalex.org/W3193195945","https://openalex.org/W3211201227","https://openalex.org/W3032467329","https://openalex.org/W4299613028","https://openalex.org/W4214497118"],"abstract_inverted_index":{"Exploratory":[0],"data":[1,10,22,65,88],"analysis":[2,62],"(EDA)":[3],"is":[4,17,77],"the":[5,9,21,29,33,36,43,48,64,70,87],"process":[6],"of":[7,39,61],"understanding":[8],"by":[11],"summarizing":[12],"its":[13],"characteristics.":[14],"This":[15],"step":[16],"important":[18],"before":[19],"modeling":[20],"for":[23,54,81,105],"machine":[24],"learning.":[25],"From":[26],"this":[27,59,96],"analysis,":[28],"user":[30],"can":[31],"extract":[32],"information,":[34],"identify":[35,69],"root":[37],"cause":[38],"any":[40,52],"issues":[41],"in":[42,74,95],"data,":[44],"and":[45,68,72,103],"figure":[46],"out":[47],"steps":[49],"to":[50,66],"initiate":[51],"policies":[53],"development.":[55],"In":[56],"simple":[57],"terms,":[58],"type":[60],"explores":[63],"understand":[67],"patterns":[71],"trends":[73],"it.":[75],"There":[76],"no":[78],"common":[79,101],"method":[80],"doing":[82,106],"EDA;":[83],"it":[84],"depends":[85],"on":[86],"we":[89,98],"are":[90],"working":[91],"with.":[92],"For":[93],"simplicity":[94],"chapter,":[97],"will":[99],"use":[100],"methods":[102],"plots":[104],"EDA.":[107]},"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2026-10-10T09:11:00.788812","created_date":"2021-07-05T00:00:00"}
