{"id":1966,"date":"2023-11-24T14:35:24","date_gmt":"2023-11-24T13:35:24","guid":{"rendered":"https:\/\/www.trusteddecisions.com\/uncategorized-lv\/aprakstosa-datu-analize-definicija-un-ievads\/"},"modified":"2026-05-06T22:29:23","modified_gmt":"2026-05-06T20:29:23","slug":"aprakstosa-datu-analize-definicija-un-ievads","status":"publish","type":"post","link":"https:\/\/www.trusteddecisions.com\/lv\/aprakstosa-datu-analize-definicija-un-ievads\/","title":{"rendered":"Apraksto\u0161\u0101 datu anal\u012bze: defin\u012bcija un ievads"},"content":{"rendered":"\n<h2 class=\"wp-block-heading\"><br\/><img decoding=\"async\" src=\"https:\/\/images.surferseo.art\/4bdb4355-bb2e-4b67-880b-4089f4f981dd.png\" alt=\"Atv&#x113;rt grafiku\" width=\"185\" height=\"185\"\/><\/h2>\n\n<h2 class=\"wp-block-heading\">Ievads apraksto\u0161o datu anal\u012bz\u0113<\/h2>\n\n<p><strong>Apraksto\u0161\u0101 datu anal\u012bze<\/strong> ir <strong>datu ieguves<\/strong> <strong>pamatmetode<\/strong>, kas \u013cauj efekt\u012bvi analiz\u0113t un interpret\u0113t <strong>lielus datu apjomus<\/strong>. <strong>Apraksto\u0161ajai statistikai<\/strong> ir galven\u0101 loma datu aprakst\u012b\u0161an\u0101 un struktur\u0113\u0161an\u0101. <\/p>\n\n<p>Tai ir b\u016btiska <strong>noz\u012bme<\/strong> m\u016bsu datu p\u0101rvald\u012btaj\u0101 pasaul\u0113. Neatkar\u012bgi no t\u0101, vai tie ir uz\u0146\u0113mumi, klienti, p\u0113t\u012bjumi vai soci\u0101lie pla\u0161sazi\u0146as l\u012bdzek\u013ci &#8211; katru dienu tiek \u0123ener\u0113ti milz\u012bgi <strong>datu apjomi<\/strong>, kas sniedz mums v\u0113rt\u012bgu inform\u0101ciju, ja m\u0113s tos pareizi interpret\u0113jam. Pareizi <strong>analiz\u0113jot datus<\/strong>, uz\u0146\u0113mumi var g\u016bt m\u0113r\u0137tiec\u012bgu ieskatu un pie\u0146emt pamatotus l\u0113mumus. <\/p>\n\n<h3 class=\"wp-block-heading\">Apraksto\u0161o datu anal\u012bzes noz\u012bme un m\u0113r\u0137is<\/h3>\n\n<p><strong>Apraksto\u0161\u0101s datu anal\u012bzes<\/strong> m\u0113r\u0137is ir ieg\u016bt skaidru p\u0101rskatu par sare\u017e\u0123\u012bt\u0101m <strong>datu kop\u0101m<\/strong>. Galven\u0101 uzman\u012bba ir piev\u0113rsta <strong>datu strukt\u016bru<\/strong> vienk\u0101r\u0161o\u0161anai un <strong>galven\u0101s inform\u0101cijas<\/strong> identific\u0113\u0161anai. Tas tiek dar\u012bts, cita starp\u0101 analiz\u0113jot konkr\u0113tus <strong>parametrus, kas<\/strong> tiek izmantoti, lai detaliz\u0113ti nov\u0113rt\u0113tu datus.<\/p>\n\n<p>\u0160ie rezult\u0101ti kalpo par pamatu <strong>turpm\u0101kai anal\u012bzei<\/strong> un <strong>l\u0113mumu pie\u0146em\u0161anai<\/strong>. <strong>Apraksto\u0161o statistiku<\/strong> bie\u017ei izmanto ar\u012b k\u0101 pamatu turpm\u0101ku <strong>secino\u0161\u0101s statistikas<\/strong> meto\u017eu pielieto\u0161anai, ar kur\u0101m, pamatojoties uz apraksto\u0161ajiem rezult\u0101tiem, tiek <strong>izdar\u012bti secin\u0101jumi par<\/strong> popul\u0101ciju. <\/p>\n\n<p>\u0160aj\u0101 rakst\u0101 m\u0113s skaidrojam <strong>apraksto\u0161\u0101s datu anal\u012bzes<\/strong> pamatus, apsprie\u017eam t\u0101s metodes un pielietojumu praks\u0113, k\u0101 ar\u012b apl\u016bkojam t\u0101s probl\u0113mas un iesp\u0113jas. Iepaz\u012bstin\u0101m ar\u012b ar da\u017eiem <strong>r\u012bkiem, ko<\/strong> var izmantot <strong>datu anal\u012bzei<\/strong>. <\/p>\n\n<p><strong>Pievienojieties mums \u0161aj\u0101 aizraujo\u0161aj\u0101 ce\u013cojum\u0101 datu anal\u012bzes pasaul\u0113!<\/strong><\/p>\n\n<h2 class=\"wp-block-heading\">Apraksto\u0161\u0101s datu anal\u012bzes defin\u012bcija un pamati<\/h2>\n\n<p><strong>Apraksto\u0161o datu anal\u012bzi<\/strong>, ko bie\u017ei d\u0113v\u0113 par apraksto\u0161o statistiku, izmanto, lai apkopotu un interpret\u0113tu <strong>datu apjomus<\/strong>. Lai vizualiz\u0113tu datu kopas pa\u0161reiz\u0113jo st\u0101vokli, tiek izmantoti statistikas galvenie skait\u013ci, grafiki un tabulas. \u0160ie vizualiz\u0101cijas veidi pal\u012bdz padar\u012bt redzamus datu mode\u013cus un tendences un bie\u017ei kalpo par pamatu turpm\u0101kai anal\u012bzei.<\/p>\n\n<h3 class=\"wp-block-heading\">At\u0161\u0137ir\u012bba starp apraksto\u0161o statistiku un secino\u0161o statistisko datu anal\u012bzi<\/h3>\n\n<p><strong>Apraksto\u0161\u0101 statistika<\/strong> apraksta un apkopo datus, bet <strong>secino\u0161\u0101 statistikas<\/strong> datu anal\u012bze \u013cauj <strong>izdar\u012bt secin\u0101jumus no<\/strong> \u0161iem datiem. \u0160os secin\u0101jumus var attiecin\u0101t uz popul\u0101ciju, no kuras tika izveidota izlase. <strong>Apraksto\u0161\u0101s metodes<\/strong> pal\u012bdz lab\u0101k izprast datus, savuk\u0101rt <strong>secino\u0161\u0101 statistika<\/strong> \u013cauj p\u0101rbaud\u012bt hipot\u0113zes un izteikt apgalvojumus par kop\u0113jo popul\u0101ciju.<\/p>\n\n<h3 class=\"wp-block-heading\">Statistikas loma apraksto\u0161o datu anal\u012bz\u0113<\/h3>\n\n<p><strong>Statistika<\/strong> ir <strong>apraksto\u0161\u0101s datu anal\u012bzes<\/strong> pamat\u0101. Tas \u013cauj vizualiz\u0113t un interpret\u0113t datus, izmantojot <strong>galvenos skait\u013cus<\/strong>, sadal\u012bjumus un grafikus. Centr\u0101lo tendenci raksturo, analiz\u0113jot konkr\u0113tus <strong>parametrus,<\/strong> piem\u0113ram, vid\u0113jo v\u0113rt\u012bbu, medi\u0101nu un modi. Dispersija un sadal\u012bjums sniedz inform\u0101ciju par main\u012bgumu datu kop\u0101s. <\/p>\n\n<h2 class=\"wp-block-heading\">Apraksto\u0161\u0101s datu anal\u012bzes metodes un parametri<\/h2>\n\n<p><strong>Apraksto\u0161aj\u0101 datu anal\u012bz\u0113<\/strong> noteico\u0161ie ir <strong>galvenie skait\u013ci un m\u0113r\u012bjumi<\/strong>. Tas ietver <strong>vid\u0113jo v\u0113rt\u012bbu<\/strong> un <strong>poz\u012bcijas parametru,<\/strong> lai aprakst\u012btu centr\u0101lo tendenci, k\u0101 ar\u012b <strong>izkliedi<\/strong>, lai vizualiz\u0113tu <strong>datu sadal\u012bjumu<\/strong>.<\/p>\n\n<p>V\u0113l viena svar\u012bga da\u013ca ir <strong>sadal\u012bjumi<\/strong> un <strong>bie\u017eumu anal\u012bze<\/strong>. Tie par\u0101da, k\u0101 ir sadal\u012bti <strong>datu ieraksti<\/strong> un kuras v\u0113rt\u012bbas sastopamas visbie\u017e\u0101k.<\/p>\n\n<p><strong>Nov\u0113rt\u0113jums<\/strong> bie\u017ei tiek vizualiz\u0113ts <strong>tabul\u0101s<\/strong> un <strong>grafikos<\/strong>. \u0160\u0101da vizualiz\u0101cija pal\u012bdz viegl\u0101k saprast <strong>datu kopas<\/strong> un atpaz\u012bt sakar\u012bbas. <\/p>\n\n<h2 class=\"wp-block-heading\">K\u0101 uz\u0146\u0113mumi izmanto apraksto\u0161o datu anal\u012bzi<\/h2>\n\n<p>Visda\u017e\u0101d\u0101kie uz\u0146\u0113mumi izmanto <strong>apraksto\u0161o datu anal\u012bzi<\/strong> da\u017e\u0101d\u0101s jom\u0101s. Tas sniedz <strong>v\u0113rt\u012bgu ieskatu<\/strong> <strong>klientu datos<\/strong>, ko var izmantot, lai <strong>uzlabotu klientu apkalpo\u0161anu<\/strong> un <strong>izstr\u0101d\u0101tu m\u0113r\u0137tiec\u012bgas m\u0101rketinga strat\u0113\u0123ijas<\/strong>.<\/p>\n\n<p>Piem\u0113ram, tie\u0161saistes mazumtirgot\u0101js var\u0113tu izmantot <strong>apraksto\u0161o anal\u012bzi<\/strong>, lai lab\u0101k izprastu klientu iepirk\u0161an\u0101s paradumus. Analiz\u0113jot t\u0101dus <strong>r\u0101d\u012bt\u0101jus<\/strong> k\u0101 pirkumu <strong>bie\u017eums<\/strong> un laiks, klientu \u0123eogr\u0101fiskais sadal\u012bjums, <strong>vid\u0113jie izdevumi vienam pirkumam<\/strong> un citus <strong>datus<\/strong>, uz\u0146\u0113mums var noteikt mode\u013cus un tendences, kas var pal\u012bdz\u0113t <strong>optimiz\u0113t p\u0101rdo\u0161anas strat\u0113\u0123ijas<\/strong>.<\/p>\n\n<p><strong>Apraksto\u0161o datu anal\u012bze<\/strong> ir b\u016btiska ar\u012b iek\u0161\u0113jai darb\u012bbas anal\u012bzei. Piem\u0113ram, uz\u0146\u0113mumi tos var izmantot, lai uzraudz\u012btu un uzlabotu <strong>darb\u012bbas rezult\u0101tus<\/strong>, analiz\u0113jot <strong>datu kopas<\/strong> par <strong>produktivit\u0101ti<\/strong>, <strong>efektivit\u0101ti<\/strong>, <strong>izmaks\u0101m<\/strong> un citiem darb\u012bbas <strong>r\u0101d\u012bt\u0101jiem<\/strong>.<\/p>\n\n<p>\u0160\u0101d\u0101 veid\u0101 <strong>apraksto\u0161o datu anal\u012bze<\/strong> pal\u012bdz <strong>optimiz\u0113t<\/strong> <strong>uz\u0146\u0113muma darb\u012bbu<\/strong> un <strong>pie\u0146emt pamatotus strat\u0113\u0123iskus l\u0113mumus<\/strong>.<\/p>\n\n<h2 class=\"wp-block-heading\">Datu materi\u0101ls apraksto\u0161o datu anal\u012bzei<\/h2>\n\n<h3 class=\"wp-block-heading\">Paraugu un popul\u0101cijas noz\u012bme<\/h3>\n\n<p><strong>Apraksto\u0161o datu anal\u012bze<\/strong> bie\u017ei vien balst\u0101s uz <strong>izlas\u0113m<\/strong>, lai izdar\u012btu secin\u0101jumus par visu <strong>popul\u0101ciju<\/strong>.<\/p>\n\n<p><strong>Paraugi<\/strong> ir <strong>maz\u0101ka datu punktu grupa, kas<\/strong> atlas\u012bta no <strong>liel\u0101kas popul\u0101cijas<\/strong> vai <strong>datu kopas<\/strong>. Tiem ir iz\u0161\u0137iro\u0161a noz\u012bme apraksto\u0161o datu anal\u012bz\u0113, jo tie \u013cauj p\u0101rbaud\u012bt hipot\u0113zes un veikt visp\u0101rin\u0101jumus par <strong>popul\u0101ciju<\/strong>.<\/p>\n\n<p><strong>Popul\u0101cija<\/strong> ir <strong>visu iesp\u0113jamo datu punktu kopums<\/strong>, ko var\u0113tu \u0146emt v\u0113r\u0101 anal\u012bz\u0113.<\/p>\n\n<p>Apraksto\u0161o datu anal\u012bz\u0113 \u013coti svar\u012bgs aspekts ir r\u016bp\u012bgi atlas\u012bt <strong>izlasi<\/strong>, kas labi reprezent\u0113 <strong>popul\u0101ciju<\/strong>.<\/p>\n\n<h3 class=\"wp-block-heading\">Dati: Daudzumi un kvalit\u0101te<\/h3>\n\n<p><strong>Apraksto\u0161\u0101 datu anal\u012bze<\/strong> attiecas ne tikai uz <strong>datu kvantit\u0101ti<\/strong>, bet ar\u012b uz to <strong>kvalit\u0101ti<\/strong>.<\/p>\n\n<p>Pat visliel\u0101kajam <strong>datu apjomam<\/strong> ir maza v\u0113rt\u012bba, ja taj\u0101 ir <strong>k\u013c\u016bdas<\/strong>, <strong>neprecizit\u0101tes<\/strong> vai <strong>izkrop\u013cojumi<\/strong>.<\/p>\n\n<p>Datu kvalit\u0101te attiecas uz datu <strong>precizit\u0101ti<\/strong>, <strong>piln\u012bgumu<\/strong>, <strong>konsekvenci<\/strong> un <strong>atbilst\u012bbu<\/strong>.<\/p>\n\n<h3 class=\"wp-block-heading\">Datu ierakstu atlase un apstr\u0101de<\/h3>\n\n<p>V\u0113l viens svar\u012bgs <strong>apraksto\u0161\u0101s datu anal\u012bzes<\/strong> aspekts ir <strong>datu kopu<\/strong> atlase un apstr\u0101de.<\/p>\n\n<p><strong>Datu<\/strong> v\u0101k\u0161anas, apstr\u0101des un anal\u012bzes veids var b\u016btiski ietekm\u0113t <strong>anal\u012bzes nov\u0113rt\u0113jumu<\/strong>.<\/p>\n\n<p>Ir svar\u012bgi izv\u0113l\u0113ties piem\u0113rotas <strong>datu kopas<\/strong>, kas ir <strong>atbilsto\u0161as<\/strong> un <strong>reprezentat\u012bvas<\/strong> <strong>p\u0113t\u012bjuma jaut\u0101jumam<\/strong>.<\/p>\n\n<p>Turkl\u0101t, apstr\u0101d\u0101jot <strong>datu ierakstus<\/strong>, ir j\u0101r\u016bp\u0113jas par <strong>pareizu datu uztur\u0113\u0161anu<\/strong> un <strong> apstr\u0101di<\/strong>, lai l\u012bdz minimumam samazin\u0101tu <strong>izkrop\u013cojumus<\/strong> un <strong>k\u013c\u016bdas<\/strong>.<\/p>\n\n<h2 class=\"wp-block-heading\">Izaicin\u0101jumi un iesp\u0113jas<\/h2>\n\n<h3 class=\"wp-block-heading\">Izpratnes un kompetences noz\u012bme<\/h3>\n\n<p><strong>Apraksto\u0161o datu anal\u012bze<\/strong> ir sp\u0113c\u012bgs r\u012bks, ta\u010du tas ar\u012b izvirza pras\u012bbas lietot\u0101jam.<\/p>\n\n<p>Lai anal\u012bze b\u016btu efekt\u012bva un prec\u012bza, ir nepiecie\u0161ama dzi\u013ca <strong>izpratne par<\/strong> pamatj\u0113dzieniem.<\/p>\n\n<p>Tas ietver <strong>zin\u0101\u0161anas par<\/strong> anal\u012bz\u0113 izmantotaj\u0101m <strong>statistikas metod\u0113m<\/strong>, prasmi izv\u0113l\u0113ties <strong>piem\u0113rotus r\u0101d\u012bt\u0101jus<\/strong> <strong>konkr\u0113tajiem<\/strong> anal\u012bzes <strong>m\u0113r\u0137iem<\/strong> un zin\u0101\u0161anas par to, k\u0101 <strong>analiz\u0113tie dati j\u0101interpret\u0113<\/strong>.<\/p>\n\n<p>Turkl\u0101t \u013coti svar\u012bga ir <strong>pieredze<\/strong> \u0161o koncepciju piem\u0113ro\u0161an\u0101 konkr\u0113tiem projekta <strong>datiem<\/strong> un <strong>jaut\u0101jumiem<\/strong>. Padzi\u013cin\u0101tas <strong>zin\u0101\u0161anas<\/strong> pal\u012bdz izprast <strong>datu<\/strong> <strong>sare\u017e\u0123\u012bt\u012bbu<\/strong>, uzdot pareizos jaut\u0101jumus un efekt\u012bvi izmantot <strong>anal\u012bzes rezult\u0101tus<\/strong>.<\/p>\n\n<p>Kopum\u0101 <strong>izpratne<\/strong> un <strong>zin\u0101\u0161anas<\/strong> ir <strong>galvenie elementi, kas<\/strong> nosaka <strong>apraksto\u0161\u0101s datu anal\u012bzes<\/strong> <strong>kvalit\u0101ti<\/strong> un <strong>lietder\u012bbu<\/strong>.<\/p>\n\n<h3 class=\"wp-block-heading\">Rezult\u0101tu p\u0101rskat\u012b\u0161ana un galveno skait\u013cu interpret\u0101cija<\/h3>\n\n<p>Kad ir veikta apraksto\u0161o datu anal\u012bze, n\u0101kamais uzdevums ir p\u0101rbaud\u012bt un interpret\u0113t rezult\u0101tus.<\/p>\n\n<p>Rezult\u0101tu p\u0101rbaude var pal\u012bdz\u0113t <strong>identific\u0113t<\/strong> <strong>k\u013c\u016bdas<\/strong> vai <strong>neprecizit\u0101tes anal\u012bz\u0113<\/strong>. T\u0101 kalpo k\u0101 <strong>kvalit\u0101tes kontrole<\/strong> un nodro\u0161ina, ka <strong>anal\u012bze<\/strong> ir veikta, <strong>k\u0101 paredz\u0113ts, <\/strong>un ka <strong>rezult\u0101ti ir der\u012bgi<\/strong>.<\/p>\n\n<p>V\u0113l viens svar\u012bgs aspekts ir galveno skait\u013cu interpret\u0101cija. M\u0113r\u0137is ir pie\u0161\u0137irt <strong>anal\u012bzes<\/strong> rezult\u0101t\u0101 <strong>ieg\u016btajiem skait\u013ciem<\/strong> un <strong>statistikas datiem<\/strong> <strong>j\u0113gu<\/strong>. J\u0101\u0146em v\u0113r\u0101 <strong>datu konteksts<\/strong> un anal\u012bzes <strong>\u012bpa\u0161ie m\u0113r\u0137i<\/strong>. Pareiza galveno skait\u013cu interpret\u0101cija \u013cauj no <strong>datiem<\/strong> izdar\u012bt <strong>noder\u012bgus secin\u0101jumus<\/strong>.<strong> <\/strong>un <strong>pie\u0146emt pamatotus l\u0113mumus<\/strong>.<\/p>\n\n<p>Kopum\u0101 rezult\u0101tu p\u0101rskat\u012b\u0161ana un galveno skait\u013cu interpret\u0101cija ir b\u016btisks solis, lai piln\u012bb\u0101 izmantotu apraksto\u0161\u0101s datu anal\u012bzes potenci\u0101lu.<\/p>\n\n<h3 class=\"wp-block-heading\">Datu ieguve k\u0101 apraksto\u0161\u0101s datu anal\u012bzes papla\u0161in\u0101jums<\/h3>\n\n<p>M\u016bsdienu datu vid\u0113 apraksto\u0161\u0101 datu anal\u012bze bie\u017ei ir tikai pirmais solis.<\/p>\n\n<p>Datu ieguve ir metode, kas p\u0101rsniedz apraksto\u0161o anal\u012bzi un pied\u0101v\u0101 <strong>dzi\u013c\u0101ku ieskatu <\/strong>.<\/p>\n\n<p>T\u0101 izmanto <strong>progres\u012bvus algoritmus<\/strong> un <strong>metodes<\/strong>, lai <strong>liel\u0101s datu kop\u0101s<\/strong> identific\u0113tu <strong>mode\u013cus un korel\u0101cijas<\/strong>, kas p\u0101rsniedz parasto apraksto\u0161o anal\u012bzi.<\/p>\n\n<p>To var izmantot, lai veiktu prognozes, noteiktu tendences vai pat atkl\u0101tu sl\u0113ptus mode\u013cus datos, kurus nevar\u0113ja atpaz\u012bt, izmantojot apraksto\u0161\u0101s metodes.<\/p>\n\n<p><strong>Apvienojot<\/strong> <strong>apraksto\u0161o anal\u012bzi un datu ieguvi<\/strong>, uz\u0146\u0113mumi var papla\u0161in\u0101t izpratni par saviem datiem un ieg\u016bt v\u0113l dzi\u013c\u0101ku, darb\u012bbai atbilsto\u0161u ieskatu. T\u0101p\u0113c datu ieguves integr\u0113\u0161ana datu anal\u012bzes strat\u0113\u0123ij\u0101 var sniegt iev\u0113rojamu pievienoto v\u0113rt\u012bbu.<\/p>\n\n<h2 class=\"wp-block-heading\">Kopsavilkums un perspekt\u012bvas<\/h2>\n\n<p>M\u0113s redz\u0113j\u0101m, ka apraksto\u0161\u0101 datu anal\u012bze ir v\u0113rt\u012bgs instruments, kas pal\u012bdz mums izprast m\u016bsu datus. Galvenie skait\u013ci, piem\u0113ram, vid\u0113j\u0101 v\u0113rt\u012bba, poz\u012bcijas parametri un izkliedes, k\u0101 ar\u012b vizualiz\u0101cijas formas, piem\u0113ram, tabulas un grafiki, sniedz mums pamatotu p\u0101rskatu par m\u016bsu datiem. M\u0113s ar\u012b esam apzin\u0101ju\u0161ies, cik svar\u012bgi ir r\u016bp\u012bgi atlas\u012bt paraugus un datu kopas, lai ieg\u016btu noz\u012bm\u012bgus rezult\u0101tus.<\/p>\n\n<h3 class=\"wp-block-heading\">Apraksto\u0161\u0101s datu anal\u012bzes noz\u012bme n\u0101kotn\u0113<\/h3>\n\n<p>Apraksto\u0161o datu anal\u012bzei ar\u012b turpm\u0101k b\u016bs galven\u0101 loma datu apstr\u0101d\u0113.<\/p>\n\n<p>T\u0101 k\u0101 pieejamo datu apjoms past\u0101v\u012bgi palielin\u0101s un anal\u012bzes metodes nep\u0101rtraukti att\u012bst\u0101s, apraksto\u0161\u0101s datu anal\u012bzes <strong>noz\u012bme<\/strong>, visticam\u0101k, palielin\u0101sies <strong>v\u0113l vair\u0101k<\/strong>.<\/p>\n\n<p>\u012apa\u0161i <strong>datu ieguves<\/strong> un <strong>ma\u0161\u012bnm\u0101c\u012b\u0161an\u0101s <\/strong> <strong>kontekst\u0101<\/strong> t\u0101 var kalpot par pamatu padzi\u013cin\u0101tai anal\u012bzei un prognoz\u0113m.<\/p>\n\n<p>Uz\u0146\u0113mumi arvien vair\u0101k apzin\u0101sies, cik v\u0113rt\u012bgi ir vispirms izprast savus datus, pirms veikt sare\u017e\u0123\u012bt\u0101kas anal\u012bzes vai veikt prognozes.<\/p>\n\n<p>T\u0101p\u0113c ir paredzams, ka turpm\u0101kajos gados ieguld\u012bjumi apraksto\u0161o datu anal\u012bz\u0113 un ekspertu apm\u0101c\u012bb\u0101 \u0161aj\u0101 jom\u0101 turpin\u0101s palielin\u0101ties.<\/p>\n\n<p>\u0160aj\u0101 rakst\u0101 ir sniegts visaptvero\u0161s p\u0101rskats par apraksto\u0161o datu anal\u012bzi un t\u0101s noz\u012bmi.<\/p>\n\n<p>\u0160\u012b discipl\u012bna ir pirmais solis, lai izprastu datus un ieg\u016btu no tiem inform\u0101ciju, un t\u0101 ir visu turpm\u0101ko anal\u012b\u017eu pamats.<\/p>\n\n<p><strong>Ja jums ir v\u0113l k\u0101di jaut\u0101jumi, ieteikumi vai v\u0113laties dal\u012bties ar savu pieredzi \u0161aj\u0101 jom\u0101, l\u016bdzu, sazinieties ar mums jebkur\u0101 laik\u0101!<\/strong><\/p>\n\n<p>J\u016bs var\u0113tu interes\u0113t ar\u012b \u0161\u012bs t\u0113mas: <\/p>\n\n<p><a href=\"https:\/\/www.trusteddecisions.com\/lv\/wiki\/kvalitativo-datu-analize-no-tekstiem-lidz-atzinam\/\">Kvalitat\u012bvo datu anal\u012bze<\/a><\/p>\n\n<p><a href=\"https:\/\/www.trusteddecisions.com\/lv\/wiki\/izpetes-datu-analize-visaptverosa-rokasgramata\/\">Izp\u0113tes datu anal\u012bze<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Ievads apraksto\u0161o datu anal\u012bz\u0113 Apraksto\u0161\u0101 datu anal\u012bze ir datu ieguves pamatmetode, kas \u013cauj efekt\u012bvi analiz\u0113t un interpret\u0113t lielus datu apjomus.<span class=\"excerpt-hellip\"> [\u2026]<\/span><\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[48],"tags":[],"class_list":["post-1966","post","type-post","status-publish","format-standard","hentry","category-wiki"],"acf":[],"_links":{"self":[{"href":"https:\/\/www.trusteddecisions.com\/lv\/wp-json\/wp\/v2\/posts\/1966","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.trusteddecisions.com\/lv\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.trusteddecisions.com\/lv\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.trusteddecisions.com\/lv\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.trusteddecisions.com\/lv\/wp-json\/wp\/v2\/comments?post=1966"}],"version-history":[{"count":2,"href":"https:\/\/www.trusteddecisions.com\/lv\/wp-json\/wp\/v2\/posts\/1966\/revisions"}],"predecessor-version":[{"id":8715,"href":"https:\/\/www.trusteddecisions.com\/lv\/wp-json\/wp\/v2\/posts\/1966\/revisions\/8715"}],"wp:attachment":[{"href":"https:\/\/www.trusteddecisions.com\/lv\/wp-json\/wp\/v2\/media?parent=1966"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.trusteddecisions.com\/lv\/wp-json\/wp\/v2\/categories?post=1966"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.trusteddecisions.com\/lv\/wp-json\/wp\/v2\/tags?post=1966"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}