{"id":16765,"date":"2020-10-01T12:31:16","date_gmt":"2020-10-01T10:31:16","guid":{"rendered":"https:\/\/www.dase-analytics.com\/blog\/?p=16765\/"},"modified":"2021-10-26T14:27:07","modified_gmt":"2021-10-26T12:27:07","slug":"praca-s-google-data-studiom","status":"publish","type":"post","link":"https:\/\/www.dase-analytics.com\/blog\/sk\/praca-s-google-data-studiom\/","title":{"rendered":"7 tipov ako pracova\u0165 s Google Data Studiom efekt\u00edvnej\u0161ie"},"content":{"rendered":"<div id=\"toc_container\" class=\"toc_wrap_right toc_white no_bullets\"><p class=\"toc_title\">Obsah \u010dl&aacute;nku<\/p><ul class=\"toc_list\"><li><\/li><li><ul><li><\/li><\/ul><\/li><li><ul><li><\/li><\/ul><\/li><li><\/li><li><\/li><li><\/li><li><ul><li><\/li><\/ul><\/li><li><\/li><\/ul><\/div>\n\n<p><span style=\"font-weight: 400;\">Vyu\u017e\u00edvajte potenci\u00e1l n\u00e1stroja Google Data Studio naplno. Pou\u017e\u00edvanie niektor\u00fdch pokro\u010dil\u00fdch funkci\u00ed v\u00e1m u\u013eah\u010d\u00ed vytv\u00e1ra\u0165 zrozumite\u013enej\u0161ie a preh\u013eadnej\u0161ie preh\u013eady. V tomto \u010dl\u00e1nku sa dozviete 7 tipov, ako posun\u00fa\u0165 va\u0161e preh\u013eady v Google Data Studiu na vy\u0161\u0161iu \u00farove\u0148.\u00a0<\/span><\/p>\n<h1><span id=\"Pouzitie_viacerych_stranok_v_jednom_reporte\"><strong>Pou\u017eitie viacer\u00fdch str\u00e1nok v jednom reporte<\/strong><\/span><\/h1>\n<p><a href=\"https:\/\/www.dase-analytics.com\/blog\/sk\/google-data-studio\/\" target=\"_blank\" rel=\"noopener noreferrer\"><span style=\"font-weight: 400;\">Google Data Studio<\/span><\/a><span style=\"font-weight: 400;\"> umo\u017e\u0148uje do jedn\u00e9ho reportu prida\u0165 viacero str\u00e1nok, ktor\u00e9 m\u00f4\u017eu obsahova\u0165 r\u00f4zne typy \u00fadajov. Je to podobn\u00e9, ako ke\u010f prid\u00e1te do Google Sheets viacero h\u00e1rkov.\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400;\">M\u00f4\u017eete prida\u0165 napr\u00edklad kartu s preh\u013eadom a zoskupi\u0165 v nej \u00fadaje z r\u00f4znych zdrojov. N\u00e1sledne prid\u00e1te \u010fal\u0161ie karty, ktor\u00e9 bud\u00fa obsahova\u0165 podrobnej\u0161ie inform\u00e1cie.<\/span><\/p>\n<p><a href=\"https:\/\/www.dase-analytics.com\/blog\/wp-content\/uploads\/01_stranky-v-data-studiu.png\" data-rel=\"lightbox-image-0\" data-rl_title=\"\" data-rl_caption=\"\" title=\"\"><img decoding=\"async\" loading=\"lazy\" class=\"alignnone wp-image-16767 size-full\" src=\"https:\/\/www.dase-analytics.com\/blog\/wp-content\/uploads\/01_stranky-v-data-studiu.png\" alt=\"01_str\u00e1nky v data studiu\" width=\"1871\" height=\"765\" srcset=\"https:\/\/www.dase-analytics.com\/blog\/wp-content\/uploads\/01_stranky-v-data-studiu.png 1871w, https:\/\/www.dase-analytics.com\/blog\/wp-content\/uploads\/01_stranky-v-data-studiu-300x123.png 300w, https:\/\/www.dase-analytics.com\/blog\/wp-content\/uploads\/01_stranky-v-data-studiu-1024x419.png 1024w, https:\/\/www.dase-analytics.com\/blog\/wp-content\/uploads\/01_stranky-v-data-studiu-1536x628.png 1536w, https:\/\/www.dase-analytics.com\/blog\/wp-content\/uploads\/01_stranky-v-data-studiu-600x245.png 600w\" sizes=\"(max-width: 1871px) 100vw, 1871px\" \/><\/a><\/p>\n<h1><span id=\"Data_Blending\"><strong>Data Blending\u00a0<\/strong><\/span><\/h1>\n<p><span style=\"font-weight: 400;\">Google Data Studio umo\u017e\u0148uje importova\u0165 \u00fadaje z rozli\u010dn\u00fdch reklamn\u00fdch platforiem (Google Ads, Facebook Ads, Bing Ads, Sklik a pod.) Bola by v\u0161ak \u0161koda, ak by ste tieto d\u00e1ta mohli iba vizualizova\u0165 a nemali k dispoz\u00edci\u00ed mo\u017enos\u0165 ich aj medzi sebou porovn\u00e1va\u0165.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Tu prich\u00e1dza na rad <\/span><a href=\"https:\/\/www.dase-analytics.com\/blog\/sk\/vyraz\/data-blending\/\" target=\"_blank\" rel=\"noopener noreferrer\"><b>data blending<\/b><\/a><b>.<\/b><span style=\"font-weight: 400;\"> Je to zlu\u010dovanie rozli\u010dn\u00fdch d\u00e1tov\u00fdch zdrojov do jedn\u00e9ho na z\u00e1klade spolo\u010dn\u00e9ho k\u013e\u00fa\u010da (join key), ktor\u00fd oba zdroje obsahuj\u00fa (napr. d\u00e1tum). Takto m\u00f4\u017eete mie\u0161a\u0165 \u00fadaje z 5 d\u00e1tov\u00fdch zdrojov. Pr\u00edkladom zlu\u010dovania d\u00e1t je napr\u00edklad kombinovanie \u00fadajov o n\u00e1v\u0161tevnosti dvoch webov v jednom preh\u013eade.<\/span><\/p>\n<div class=\"custom-button\"><a href=\"https:\/\/www.youtube.com\/watch?v=3KWhnBXdkD0\" data-rel=\"lightbox-video-0\"><span> &#x25b6;&#xfe0f; Pozrite si video: Ako na data blending<\/span><\/a><\/div>\n<h2><span id=\"Ako_vyuzit_data_blending\"><strong>Ako vyu\u017ei\u0165 data blending<\/strong><\/span><\/h2>\n<p><span style=\"font-weight: 400;\">Mo\u017eno sa p\u00fdtate sami seba, ako m\u00f4\u017eete vyu\u017ei\u0165 data blending. Jedn\u00fdm z n\u00e1padov je porovn\u00e1vanie v\u00fdkonnosti r\u00f4znych subdom\u00e9n, pr\u00edpadne zl\u00fa\u010denie \u00fadajov o klientoch z CRM, s \u00fadajmi o spr\u00e1van\u00ed u\u017e\u00edvate\u013eov na webe. M\u00f4\u017eete tie\u017e mie\u0161a\u0165 d\u00e1ta z rozli\u010dn\u00fdch reklamn\u00fdch platforiem a z\u00edska\u0165 nov\u00fd uhol poh\u013eadu na ich v\u00fdkonnos\u0165.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Predstavte si, \u017ee chcete porovna\u0165 cenu za rel\u00e1ciu z kampane v Google Ads s kampa\u0148ou vo Facebook Ads. Aj ke\u010f sa n\u00e1zvy metr\u00edk m\u00f4\u017eu mierne l\u00ed\u0161i\u0165, v podstate ide o to ist\u00e9: kliknutia, zobrazenia, <\/span><a href=\"https:\/\/www.dase-analytics.com\/blog\/sk\/vyraz\/konverzia-conversion\/\" target=\"_blank\" rel=\"noopener noreferrer\"><span style=\"font-weight: 400;\">konverzie<\/span><\/a><span style=\"font-weight: 400;\">. Ak tieto kampane be\u017eali po\u010das rovnak\u00e9ho mesiaca, m\u00f4\u017eete ich prepoji\u0165 na z\u00e1klade ich spolo\u010dn\u00e9ho k\u013e\u00fa\u010da, ktor\u00fdm je d\u00e1tum.\u00a0<\/span><\/p>\n<p><a href=\"https:\/\/www.dase-analytics.com\/blog\/wp-content\/uploads\/03_google-data-studio-data-blending.png\" rel=\"attachment wp-att-16769\" data-rel=\"lightbox-image-1\" data-rl_title=\"\" data-rl_caption=\"\" title=\"\"><img decoding=\"async\" loading=\"lazy\" class=\"alignnone wp-image-16769 size-full\" src=\"https:\/\/www.dase-analytics.com\/blog\/wp-content\/uploads\/03_google-data-studio-data-blending.png\" alt=\"03_google-data-studio-data-blending\" width=\"1844\" height=\"739\" srcset=\"https:\/\/www.dase-analytics.com\/blog\/wp-content\/uploads\/03_google-data-studio-data-blending.png 1844w, https:\/\/www.dase-analytics.com\/blog\/wp-content\/uploads\/03_google-data-studio-data-blending-300x120.png 300w, https:\/\/www.dase-analytics.com\/blog\/wp-content\/uploads\/03_google-data-studio-data-blending-1024x410.png 1024w, https:\/\/www.dase-analytics.com\/blog\/wp-content\/uploads\/03_google-data-studio-data-blending-1536x616.png 1536w, https:\/\/www.dase-analytics.com\/blog\/wp-content\/uploads\/03_google-data-studio-data-blending-600x240.png 600w\" sizes=\"(max-width: 1844px) 100vw, 1844px\" \/><\/a><\/p>\n<p><span style=\"font-weight: 400;\">M\u00f4\u017eete k tomu prida\u0165 napr\u00edklad Google Analytics metriky ako rel\u00e1cie, <\/span><a href=\"https:\/\/www.dase-analytics.com\/blog\/sk\/vyraz\/uzivatel-user\/\" target=\"_blank\" rel=\"noopener noreferrer\"><span style=\"font-weight: 400;\">pou\u017e\u00edvatelia<\/span><\/a><span style=\"font-weight: 400;\"> a z\u00edska\u0165 tak preh\u013ead o cene za <\/span><a href=\"https:\/\/www.dase-analytics.com\/blog\/sk\/vyraz\/relacia-session\/\" target=\"_blank\" rel=\"noopener noreferrer\"><span style=\"font-weight: 400;\">rel\u00e1ciu<\/span><\/a><span style=\"font-weight: 400;\"> alebo cene za pou\u017e\u00edvate\u013ea.\u00a0<\/span><\/p>\n<p><a href=\"https:\/\/www.dase-analytics.com\/blog\/wp-content\/uploads\/04_google-data-studio-data-blending.png\" rel=\"attachment wp-att-16770\" data-rel=\"lightbox-image-2\" data-rl_title=\"\" data-rl_caption=\"\" title=\"\"><img decoding=\"async\" loading=\"lazy\" class=\"alignnone wp-image-16770 size-full\" src=\"https:\/\/www.dase-analytics.com\/blog\/wp-content\/uploads\/04_google-data-studio-data-blending.png\" alt=\"04_google-data-studio-data-blending\" width=\"1353\" height=\"543\" srcset=\"https:\/\/www.dase-analytics.com\/blog\/wp-content\/uploads\/04_google-data-studio-data-blending.png 1353w, https:\/\/www.dase-analytics.com\/blog\/wp-content\/uploads\/04_google-data-studio-data-blending-300x120.png 300w, https:\/\/www.dase-analytics.com\/blog\/wp-content\/uploads\/04_google-data-studio-data-blending-1024x411.png 1024w, https:\/\/www.dase-analytics.com\/blog\/wp-content\/uploads\/04_google-data-studio-data-blending-600x241.png 600w\" sizes=\"(max-width: 1353px) 100vw, 1353px\" \/><\/a><\/p>\n<h1><span id=\"Vytvorenie_vlastnych_dimenzii\"><strong>Vytvorenie vlastn\u00fdch dimenzi\u00ed<\/strong><\/span><\/h1>\n<p><span style=\"font-weight: 400;\">V mnoh\u00fdch smeroch funguje Google Data Studio podobne ako Google Sheets. Rovnako, ako aj v Google Sheets, tak aj v Google Data Studiu, viete pomocou r\u00f4znych vzorcov prid\u00e1va\u0165 pokro\u010dilej\u0161ie <\/span><a href=\"https:\/\/www.dase-analytics.com\/blog\/sk\/vyraz\/dimenzia\/\" target=\"_blank\" rel=\"noopener noreferrer\"><span style=\"font-weight: 400;\">dimenzie<\/span><\/a><span style=\"font-weight: 400;\"> alebo <\/span><a href=\"https:\/\/www.dase-analytics.com\/blog\/sk\/vyraz\/metrika-metric\/\" target=\"_blank\" rel=\"noopener noreferrer\"><span style=\"font-weight: 400;\">metriky<\/span><\/a><span style=\"font-weight: 400;\">, zn\u00e1me ako kalkulovan\u00e9 polia (calculated fields).<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Tieto kalkulovan\u00e9 polia m\u00f4\u017eu by\u0165 dimenzie aj metriky a v zdroji \u00fadajov sa zobrazuj\u00fa ako nov\u00e9 polia. Napr\u00edklad m\u00f4\u017eete pou\u017ei\u0165 nasleduj\u00face funkcie:<\/span><\/p>\n<ul>\n<li style=\"font-weight: 400;\"><span style=\"font-weight: 400;\">REGEXP_MATCH () na vr\u00e1tenie konkr\u00e9tnej hodnoty, ak X zodpoved\u00e1 Y, na z\u00e1klade <\/span><a href=\"https:\/\/www.dase-analytics.com\/blog\/sk\/vyraz\/regex-regular-expression\/\" target=\"_blank\" rel=\"noopener noreferrer\"><span style=\"font-weight: 400;\">regul\u00e1rnych v\u00fdrazov<\/span><\/a><span style=\"font-weight: 400;\">.\u00a0<\/span><\/li>\n<li style=\"font-weight: 400;\"><span style=\"font-weight: 400;\">CONCAT (), na kombin\u00e1ciu textu z r\u00f4znych zdrojov,\u00a0<\/span><\/li>\n<li style=\"font-weight: 400;\"><span style=\"font-weight: 400;\">CASE (), na stanovenie hodnoty kalkulovan\u00e9ho po\u013ea pou\u017eit\u00edm podmienenej logiky.<\/span><\/li>\n<\/ul>\n<h2><span id=\"Ako_vyuzit_kalkulovane_polia\"><strong>Ako vyu\u017ei\u0165 kalkulovan\u00e9 polia<\/strong><\/span><\/h2>\n<p><span style=\"font-weight: 400;\">Pre kalkulovan\u00e9 polia m\u00f4\u017eete pou\u017ei\u0165 ve\u013ea typov funkci\u00ed. Cel\u00fd zoznam n\u00e1jdete v <\/span><a href=\"https:\/\/support.google.com\/datastudio\/table\/6379764\" target=\"_blank\" rel=\"noopener noreferrer\"><span style=\"font-weight: 400;\">n\u00e1povede Google Data Studia<\/span><\/a><span style=\"font-weight: 400;\">. Jedn\u00fdm z pr\u00edkladov toho, ako m\u00f4\u017eete tieto polia pou\u017ei\u0165, je vytvorenie vlastn\u00e9ho channel groupingu v Google Data Studiu pomocou CASE () funkcie.<\/span><\/p>\n<p><a href=\"https:\/\/www.dase-analytics.com\/blog\/wp-content\/uploads\/05_google-data-studio-calculated-fields-case-function.png\" rel=\"attachment wp-att-16771\" data-rel=\"lightbox-image-3\" data-rl_title=\"\" data-rl_caption=\"\" title=\"\"><img decoding=\"async\" loading=\"lazy\" class=\"alignnone wp-image-16771 size-full\" src=\"https:\/\/www.dase-analytics.com\/blog\/wp-content\/uploads\/05_google-data-studio-calculated-fields-case-function.png\" alt=\"05_google-data-studio-calculated-fields-case-function\" width=\"1430\" height=\"685\" srcset=\"https:\/\/www.dase-analytics.com\/blog\/wp-content\/uploads\/05_google-data-studio-calculated-fields-case-function.png 1430w, https:\/\/www.dase-analytics.com\/blog\/wp-content\/uploads\/05_google-data-studio-calculated-fields-case-function-300x144.png 300w, https:\/\/www.dase-analytics.com\/blog\/wp-content\/uploads\/05_google-data-studio-calculated-fields-case-function-1024x491.png 1024w, https:\/\/www.dase-analytics.com\/blog\/wp-content\/uploads\/05_google-data-studio-calculated-fields-case-function-600x287.png 600w\" sizes=\"(max-width: 1430px) 100vw, 1430px\" \/><\/a><\/p>\n<p><span style=\"font-weight: 400;\">Ak nem\u00e1te spr\u00e1vne odfiltrovan\u00e9 query parametre v Google Analytics, m\u00f4\u017eete pou\u017ei\u0165 REGEX_REPLACE () funkciu a o\u010disti\u0165 URL adresy od prebyto\u010dn\u00fdch query parametrov a zn\u00ed\u017ei\u0165 <\/span><a href=\"https:\/\/pdf.truni.sk\/e-ucebnice\/databazove-systemy1\/data\/e63e3410-c344-43dd-baeb-41c65cdefaf0.html?ownapi=1\" target=\"_blank\" rel=\"noopener noreferrer\"><span style=\"font-weight: 400;\">kardinalitu<\/span><\/a><span style=\"font-weight: 400;\"> d\u00e1t.\u00a0<\/span><\/p>\n<table style=\"width: 1378px;\">\n<tbody>\n<tr>\n<td style=\"width: 1368px;\"><span style=\"font-weight: 400;\">REGEXP_REPLACE(Page, &#8218;\\\\?.+&#8216;, &#8220;)<\/span><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p><a href=\"https:\/\/www.dase-analytics.com\/blog\/wp-content\/uploads\/06_google-data-studio-calculated-fields-remove-queries.png\" rel=\"attachment wp-att-16772\" data-rel=\"lightbox-image-4\" data-rl_title=\"\" data-rl_caption=\"\" title=\"\"><img decoding=\"async\" loading=\"lazy\" class=\"alignnone wp-image-16772 size-full\" src=\"https:\/\/www.dase-analytics.com\/blog\/wp-content\/uploads\/06_google-data-studio-calculated-fields-remove-queries.png\" alt=\"06_google-data-studio-calculated-fields-remove-queries\" width=\"1443\" height=\"371\" srcset=\"https:\/\/www.dase-analytics.com\/blog\/wp-content\/uploads\/06_google-data-studio-calculated-fields-remove-queries.png 1443w, https:\/\/www.dase-analytics.com\/blog\/wp-content\/uploads\/06_google-data-studio-calculated-fields-remove-queries-300x77.png 300w, https:\/\/www.dase-analytics.com\/blog\/wp-content\/uploads\/06_google-data-studio-calculated-fields-remove-queries-1024x263.png 1024w, https:\/\/www.dase-analytics.com\/blog\/wp-content\/uploads\/06_google-data-studio-calculated-fields-remove-queries-600x154.png 600w\" sizes=\"(max-width: 1443px) 100vw, 1443px\" \/><\/a><\/p>\n<h1><span id=\"Vytvorenie_temy\"><strong>Vytvorenie t\u00e9my<\/strong><\/span><\/h1>\n<p><span style=\"font-weight: 400;\">Prisp\u00f4sobte preh\u013ead svojej vizu\u00e1lnej identite alebo identite klienta. V\u010faka Google Data Studiu m\u00f4\u017eete nastavi\u0165 viacero parametrov ako napr\u00edklad:<\/span><\/p>\n<ul>\n<li style=\"font-weight: 400;\"><span style=\"font-weight: 400;\">Farba pozadia<\/span><\/li>\n<li style=\"font-weight: 400;\"><span style=\"font-weight: 400;\">\u0160t\u00fdl a farba p\u00edsma<\/span><\/li>\n<li style=\"font-weight: 400;\"><span style=\"font-weight: 400;\">Preh\u013eadnos\u0165 dokumentov<\/span><\/li>\n<li style=\"font-weight: 400;\"><span style=\"font-weight: 400;\">Pou\u017e\u00edvanie tie\u0148ovania<\/span><\/li>\n<li style=\"font-weight: 400;\"><span style=\"font-weight: 400;\">Farby dimenzi\u00ed<\/span><\/li>\n<li style=\"font-weight: 400;\"><span style=\"font-weight: 400;\">Farba pozadia komponentov\u00a0<\/span><\/li>\n<li style=\"font-weight: 400;\"><span style=\"font-weight: 400;\">A pod.<\/span><\/li>\n<\/ul>\n<p><a href=\"https:\/\/www.dase-analytics.com\/blog\/wp-content\/uploads\/07_google-data-studio-theme-settings.png\" rel=\"attachment wp-att-16773\" data-rel=\"lightbox-image-5\" data-rl_title=\"\" data-rl_caption=\"\" title=\"\"><img decoding=\"async\" loading=\"lazy\" class=\"alignnone wp-image-16773 size-full\" src=\"https:\/\/www.dase-analytics.com\/blog\/wp-content\/uploads\/07_google-data-studio-theme-settings.png\" alt=\"07_google-data-studio-theme-settings\" width=\"1121\" height=\"758\" srcset=\"https:\/\/www.dase-analytics.com\/blog\/wp-content\/uploads\/07_google-data-studio-theme-settings.png 1121w, https:\/\/www.dase-analytics.com\/blog\/wp-content\/uploads\/07_google-data-studio-theme-settings-300x203.png 300w, https:\/\/www.dase-analytics.com\/blog\/wp-content\/uploads\/07_google-data-studio-theme-settings-1024x692.png 1024w, https:\/\/www.dase-analytics.com\/blog\/wp-content\/uploads\/07_google-data-studio-theme-settings-600x406.png 600w\" sizes=\"(max-width: 1121px) 100vw, 1121px\" \/><\/a><\/p>\n<p><span style=\"font-weight: 400;\">Google Data Studio pon\u00faka aj mo\u017enos\u0165 <\/span><b>extrahova\u0165 vlastn\u00fa t\u00e9mu z obr\u00e1zka<\/b><span style=\"font-weight: 400;\">. Po nahrat\u00ed obr\u00e1zka v\u00e1m navrhne 3 kombin\u00e1cie t\u00e9my, z ktor\u00fdch si viete vybra\u0165. T\u00fato t\u00e9mu viete n\u00e1sledne \u010falej upravova\u0165 a prisp\u00f4sobi\u0165 si ju na mieru.<\/span><\/p>\n<p><a href=\"https:\/\/www.dase-analytics.com\/blog\/wp-content\/uploads\/08_google-data-studio-extract-theme-from-image.png\" rel=\"attachment wp-att-16774\" data-rel=\"lightbox-image-6\" data-rl_title=\"\" data-rl_caption=\"\" title=\"\"><img decoding=\"async\" loading=\"lazy\" class=\"alignnone wp-image-16774 size-full\" src=\"https:\/\/www.dase-analytics.com\/blog\/wp-content\/uploads\/08_google-data-studio-extract-theme-from-image.png\" alt=\"08_google-data-studio-extract-theme-from-image\" width=\"1088\" height=\"442\" srcset=\"https:\/\/www.dase-analytics.com\/blog\/wp-content\/uploads\/08_google-data-studio-extract-theme-from-image.png 1088w, https:\/\/www.dase-analytics.com\/blog\/wp-content\/uploads\/08_google-data-studio-extract-theme-from-image-300x122.png 300w, https:\/\/www.dase-analytics.com\/blog\/wp-content\/uploads\/08_google-data-studio-extract-theme-from-image-1024x416.png 1024w, https:\/\/www.dase-analytics.com\/blog\/wp-content\/uploads\/08_google-data-studio-extract-theme-from-image-600x244.png 600w\" sizes=\"(max-width: 1088px) 100vw, 1088px\" \/><\/a><\/p>\n<h1><span id=\"Vlozeny_externy_obsah\"><strong>Vlo\u017een\u00fd extern\u00fd obsah<\/strong><\/span><\/h1>\n<p><span style=\"font-weight: 400;\">Jednou z pokro\u010dil\u00fdch funkc\u00ed Google Data Studia je mo\u017enos\u0165 vlo\u017ei\u0165 (embed) Google Docs, Youtube vide\u00e1, Google Sheets alebo webov\u00e9 str\u00e1nky prostredn\u00edctvom vlo\u017eenia URL adresy.\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Takto, m\u00f4\u017eete do preh\u013eadu prida\u0165 webov\u00fa str\u00e1nku, vlo\u017ei\u0165 video z Youtube, alebo dokument s dopl\u0148uj\u00facimi koment\u00e1rmi. <\/span><span style=\"font-weight: 400;\"><br \/>\n<\/span><\/p>\n<p><a href=\"https:\/\/www.dase-analytics.com\/blog\/wp-content\/uploads\/09_google-data-studio-url-embed.png\" rel=\"attachment wp-att-16775\" data-rel=\"lightbox-image-7\" data-rl_title=\"\" data-rl_caption=\"\" title=\"\"><img decoding=\"async\" loading=\"lazy\" class=\"alignnone wp-image-16775 size-full\" src=\"https:\/\/www.dase-analytics.com\/blog\/wp-content\/uploads\/09_google-data-studio-url-embed.png\" alt=\"09_google-data-studio-url-embed\" width=\"1901\" height=\"691\" srcset=\"https:\/\/www.dase-analytics.com\/blog\/wp-content\/uploads\/09_google-data-studio-url-embed.png 1901w, https:\/\/www.dase-analytics.com\/blog\/wp-content\/uploads\/09_google-data-studio-url-embed-300x109.png 300w, https:\/\/www.dase-analytics.com\/blog\/wp-content\/uploads\/09_google-data-studio-url-embed-1024x372.png 1024w, https:\/\/www.dase-analytics.com\/blog\/wp-content\/uploads\/09_google-data-studio-url-embed-1536x558.png 1536w, https:\/\/www.dase-analytics.com\/blog\/wp-content\/uploads\/09_google-data-studio-url-embed-600x218.png 600w\" sizes=\"(max-width: 1901px) 100vw, 1901px\" \/><\/a><\/p>\n<h1><span id=\"Vyuzite_vyhody_komunitnych_vizualizacii\"><strong>Vyu\u017eite v\u00fdhody komunitn\u00fdch vizualiz\u00e1ci\u00ed<\/strong><\/span><\/h1>\n<p><a href=\"https:\/\/developers.google.com\/datastudio\/visualization\" target=\"_blank\" rel=\"noopener noreferrer\"><span style=\"font-weight: 400;\">Komunitn\u00e9 vizualiz\u00e1cie<\/span><\/a><span style=\"font-weight: 400;\"> v\u00e1m umo\u017e\u0148uj\u00fa vytv\u00e1ra\u0165 si vlastn\u00e9 vizualiz\u00e1cie bez toho, aby v\u00e1s obmedzovali tie s\u00fa\u010dasn\u00e9, ktor\u00e9 s\u00fa poskytovan\u00e9 Google Data Studiom. Na ich vytvorenie m\u00f4\u017eete pou\u017ei\u0165 ak\u00fdko\u013evek JavaScript alebo CSS k\u00f3d a prisp\u00f4sobi\u0165 si vizualiz\u00e1cie pod\u013ea svojich potrieb.\u00a0<\/span><\/p>\n<p><strong>Uk\u00e1\u017eka vizualiz\u00e1cie lievika:<\/strong><\/p>\n<p><a href=\"https:\/\/www.dase-analytics.com\/blog\/wp-content\/uploads\/14_google-data-studio-community-visualization.png\" rel=\"attachment wp-att-16784\" data-rel=\"lightbox-image-8\" data-rl_title=\"\" data-rl_caption=\"\" title=\"\"><img decoding=\"async\" loading=\"lazy\" class=\"alignnone wp-image-16784 size-full\" src=\"https:\/\/www.dase-analytics.com\/blog\/wp-content\/uploads\/14_google-data-studio-community-visualization.png\" alt=\"14_google-data-studio-community-visualization\" width=\"1497\" height=\"831\" srcset=\"https:\/\/www.dase-analytics.com\/blog\/wp-content\/uploads\/14_google-data-studio-community-visualization.png 1497w, https:\/\/www.dase-analytics.com\/blog\/wp-content\/uploads\/14_google-data-studio-community-visualization-300x167.png 300w, https:\/\/www.dase-analytics.com\/blog\/wp-content\/uploads\/14_google-data-studio-community-visualization-1024x568.png 1024w, https:\/\/www.dase-analytics.com\/blog\/wp-content\/uploads\/14_google-data-studio-community-visualization-600x333.png 600w\" sizes=\"(max-width: 1497px) 100vw, 1497px\" \/><\/a><\/p>\n<p><span style=\"font-weight: 400;\">Google poskytuje podrobn\u00fd program, <\/span><a href=\"https:\/\/developers.google.com\/datastudio\/visualization\/get-started\" target=\"_blank\" rel=\"noopener noreferrer\"><span style=\"font-weight: 400;\">Community Visualizations Codelab<\/span><\/a><span style=\"font-weight: 400;\">, ktor\u00fd v\u00e1m pom\u00f4\u017ee vytvori\u0165 si vlastn\u00fa vizualiz\u00e1ciu. Ak m\u00e1te ve\u013ea \u010dasu nazvy\u0161, m\u00f4\u017eete si vytvori\u0165 vizualiz\u00e1ciu sami bez pomoci developera. Zvy\u010dajne to v\u0161ak p\u00f4jde jednoduch\u0161ie, ak o pomoc po\u017eiadate sk\u00fasen\u00e9ho developera.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Preh\u013ead v\u0161etk\u00fdch komunitn\u00fdch vizualiz\u00e1cie n\u00e1jdete v <\/span><a href=\"https:\/\/datastudio.google.com\/visualization\" target=\"_blank\" rel=\"noopener noreferrer\"><span style=\"font-weight: 400;\">gal\u00e9ri\u00ed Google Data Studia<\/span><\/a><span style=\"font-weight: 400;\">.<\/span><\/p>\n<h1><span id=\"Filtrujte_udaje_pomocou_metric_sliders\"><strong>Filtrujte \u00fadaje pomocou metric sliders<\/strong><\/span><\/h1>\n<p><span style=\"font-weight: 400;\">A\u017e doned\u00e1vna bolo \u0165a\u017ek\u00e9 filtrova\u0165 \u00fadaje v grafoch a tabu\u013ek\u00e1ch pod\u013ea vidite\u013en\u00fdch \u010d\u00edseln\u00fdch\u00a0 hodn\u00f4t. To znamenalo, \u017ee va\u0161e \u00fadaje mohli vyzera\u0165 skreslen\u00e9, preto\u017ee sa v datasete mohli nach\u00e1dza\u0165 extr\u00e9mne vysok\u00e9 alebo n\u00edzke hodnoty. <\/span><\/p>\n<p><span style=\"font-weight: 400;\">Metric sliders, alebo metrick\u00e9 pos\u00fava\u010de, v\u00e1m umo\u017e\u0148uj\u00fa upravi\u0165 hodnoty pod\u013ea \u010d\u00edseln\u00e9ho rozp\u00e4tia. Podobne ako ke\u010f si pri n\u00e1kupe zvol\u00edte zobrazenie produktov v cenovej hladine od 10\u20ac do 20\u20ac.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">M\u00f4\u017eete si tak pozrie\u0165, v ktor\u00e9 dni n\u00e1v\u0161tevn\u00edci klesn\u00fa pod ur\u010dit\u00fd limit alebo zobrazi\u0165 reklamy, ktor\u00e9 mali viac ako 100 kliknut\u00ed. Osobne tento filter r\u00e1d vyu\u017e\u00edvam pre odfiltrovanie extr\u00e9mnych hodn\u00f4t v scatter plot grafe.<\/span><\/p>\n<p><b>Pred pou\u017eit\u00edm filtra<\/b><\/p>\n<p><a href=\"https:\/\/www.dase-analytics.com\/blog\/wp-content\/uploads\/10_google-data-studio-filter-metrics.png\" rel=\"attachment wp-att-16776\" data-rel=\"lightbox-image-9\" data-rl_title=\"\" data-rl_caption=\"\" title=\"\"><img decoding=\"async\" loading=\"lazy\" class=\"alignnone wp-image-16776 size-full\" src=\"https:\/\/www.dase-analytics.com\/blog\/wp-content\/uploads\/10_google-data-studio-filter-metrics.png\" alt=\"10_google-data-studio-filter-metrics\" width=\"1216\" height=\"824\" srcset=\"https:\/\/www.dase-analytics.com\/blog\/wp-content\/uploads\/10_google-data-studio-filter-metrics.png 1216w, https:\/\/www.dase-analytics.com\/blog\/wp-content\/uploads\/10_google-data-studio-filter-metrics-300x203.png 300w, https:\/\/www.dase-analytics.com\/blog\/wp-content\/uploads\/10_google-data-studio-filter-metrics-1024x694.png 1024w, https:\/\/www.dase-analytics.com\/blog\/wp-content\/uploads\/10_google-data-studio-filter-metrics-600x407.png 600w\" sizes=\"(max-width: 1216px) 100vw, 1216px\" \/><\/a><\/p>\n<p><b>Po pou\u017eit\u00ed filtra<\/b><\/p>\n<p><a href=\"https:\/\/www.dase-analytics.com\/blog\/wp-content\/uploads\/11_google-data-studio-filter-metrics-used.png\" rel=\"attachment wp-att-16777\" data-rel=\"lightbox-image-10\" data-rl_title=\"\" data-rl_caption=\"\" title=\"\"><img decoding=\"async\" loading=\"lazy\" class=\"alignnone wp-image-16777 size-full\" src=\"https:\/\/www.dase-analytics.com\/blog\/wp-content\/uploads\/11_google-data-studio-filter-metrics-used.png\" alt=\"11_google-data-studio-filter-metrics-used\" width=\"1551\" height=\"814\" srcset=\"https:\/\/www.dase-analytics.com\/blog\/wp-content\/uploads\/11_google-data-studio-filter-metrics-used.png 1551w, https:\/\/www.dase-analytics.com\/blog\/wp-content\/uploads\/11_google-data-studio-filter-metrics-used-300x157.png 300w, https:\/\/www.dase-analytics.com\/blog\/wp-content\/uploads\/11_google-data-studio-filter-metrics-used-1024x537.png 1024w, https:\/\/www.dase-analytics.com\/blog\/wp-content\/uploads\/11_google-data-studio-filter-metrics-used-1536x806.png 1536w, https:\/\/www.dase-analytics.com\/blog\/wp-content\/uploads\/11_google-data-studio-filter-metrics-used-600x315.png 600w\" sizes=\"(max-width: 1551px) 100vw, 1551px\" \/><\/a><\/p>\n<p><span style=\"font-weight: 400;\">Pri pou\u017e\u00edvan\u00ed metric sliders m\u00f4\u017eu existova\u0165 ur\u010dit\u00e9 obmedzenia. M\u00f4\u017eu by\u0165 obmedzen\u00e9 niektor\u00e9 \u010fal\u0161ie funkcionality, ako napr\u00edklad pou\u017eitie volite\u013en\u00fdch metr\u00edk.\u00a0<\/span><\/p>\n<h2><span id=\"BONUS_Zvyraznite_dolezite_hodnoty_pomocou_referencnych_ciar\"><strong>BONUS: Zv\u00fdraznite d\u00f4le\u017eit\u00e9 hodnoty pomocou referen\u010dn\u00fdch \u010diar<\/strong><\/span><\/h2>\n<p><span style=\"font-weight: 400;\">Referen\u010dn\u00e1 \u010diara, je pou\u017e\u00edvate\u013eom definovan\u00e1 zvisl\u00e1 alebo vodorovn\u00e1 \u010diara v grafe. Pomocou referen\u010dn\u00fdch \u010diar m\u00f4\u017eete porovn\u00e1va\u0165 alebo mera\u0165 hodnoty \u00fadajov zobrazen\u00e9 v grafe. Ak chcete na grafe zn\u00e1zorni\u0165 limit pre denn\u00fd rozpo\u010det na reklamu. M\u00f4\u017eete do\u0148 prida\u0165 referen\u010dn\u00fa \u010diaru, kde tento limit zad\u00e1te.\u00a0<\/span><\/p>\n<p><a href=\"https:\/\/www.dase-analytics.com\/blog\/wp-content\/uploads\/12_google-data-studio-reference-lines.png\" rel=\"attachment wp-att-16778\" data-rel=\"lightbox-image-11\" data-rl_title=\"\" data-rl_caption=\"\" title=\"\"><img decoding=\"async\" loading=\"lazy\" class=\"alignnone wp-image-16778 size-full\" src=\"https:\/\/www.dase-analytics.com\/blog\/wp-content\/uploads\/12_google-data-studio-reference-lines.png\" alt=\"12_google-data-studio-reference-lines\" width=\"1845\" height=\"687\" srcset=\"https:\/\/www.dase-analytics.com\/blog\/wp-content\/uploads\/12_google-data-studio-reference-lines.png 1845w, https:\/\/www.dase-analytics.com\/blog\/wp-content\/uploads\/12_google-data-studio-reference-lines-300x112.png 300w, https:\/\/www.dase-analytics.com\/blog\/wp-content\/uploads\/12_google-data-studio-reference-lines-1024x381.png 1024w, https:\/\/www.dase-analytics.com\/blog\/wp-content\/uploads\/12_google-data-studio-reference-lines-1536x572.png 1536w, https:\/\/www.dase-analytics.com\/blog\/wp-content\/uploads\/12_google-data-studio-reference-lines-600x223.png 600w\" sizes=\"(max-width: 1845px) 100vw, 1845px\" \/><\/a><\/p>\n<p><span style=\"font-weight: 400;\">Ak nem\u00e1te pevne stanoven\u00fd limit m\u00f4\u017eete pou\u017ei\u0165 niektor\u00e9 z t\u00fdchto predvolen\u00fdch hodn\u00f4t:<\/span><\/p>\n<ul>\n<li style=\"font-weight: 400;\"><a href=\"https:\/\/en.wikipedia.org\/wiki\/Average\" target=\"_blank\" rel=\"noopener noreferrer\"><span style=\"font-weight: 400;\">Average<\/span><\/a><\/li>\n<li style=\"font-weight: 400;\"><a href=\"https:\/\/en.wikipedia.org\/wiki\/Median\" target=\"_blank\" rel=\"noopener noreferrer\"><span style=\"font-weight: 400;\">Median<\/span><\/a><\/li>\n<li style=\"font-weight: 400;\"><span style=\"font-weight: 400;\">Min (minimal value)<\/span><\/li>\n<li style=\"font-weight: 400;\"><span style=\"font-weight: 400;\">Max (maximal value)<\/span><\/li>\n<li style=\"font-weight: 400;\"><a href=\"https:\/\/en.wikipedia.org\/wiki\/Percentile\" target=\"_blank\" rel=\"noopener noreferrer\"><span style=\"font-weight: 400;\">Percentil<\/span><\/a><\/li>\n<\/ul>\n<p><span style=\"font-weight: 400;\">Pomocou metric sliders a referen\u010dn\u00fdch \u010diar, si m\u00f4\u017eete v Google Data Studiu postavi\u0165 vlastn\u00fd metrix na kategoriz\u00e1ciu kampan\u00ed alebo reklamn\u00fdch skup\u00edn pod\u013ea ich n\u00e1vratnosti a n\u00e1kladov.<\/span><\/p>\n<p><a href=\"https:\/\/www.dase-analytics.com\/blog\/wp-content\/uploads\/13_google-data-studio-reference-lines-metrix.png\" rel=\"attachment wp-att-16779\" data-rel=\"lightbox-image-12\" data-rl_title=\"\" data-rl_caption=\"\" title=\"\"><img decoding=\"async\" loading=\"lazy\" class=\"alignnone wp-image-16779 size-full\" src=\"https:\/\/www.dase-analytics.com\/blog\/wp-content\/uploads\/13_google-data-studio-reference-lines-metrix.png\" alt=\"13_google-data-studio-reference-lines-metrix\" width=\"1676\" height=\"536\" srcset=\"https:\/\/www.dase-analytics.com\/blog\/wp-content\/uploads\/13_google-data-studio-reference-lines-metrix.png 1676w, https:\/\/www.dase-analytics.com\/blog\/wp-content\/uploads\/13_google-data-studio-reference-lines-metrix-300x96.png 300w, https:\/\/www.dase-analytics.com\/blog\/wp-content\/uploads\/13_google-data-studio-reference-lines-metrix-1024x327.png 1024w, https:\/\/www.dase-analytics.com\/blog\/wp-content\/uploads\/13_google-data-studio-reference-lines-metrix-1536x491.png 1536w, https:\/\/www.dase-analytics.com\/blog\/wp-content\/uploads\/13_google-data-studio-reference-lines-metrix-600x192.png 600w\" sizes=\"(max-width: 1676px) 100vw, 1676px\" \/><\/a><\/p>\n<p><span style=\"font-weight: 400;\">Na os X prid\u00e1te n\u00e1vratnos\u0165 kampan\u00ed, na Y n\u00e1klady a pre ve\u013ekos\u0165 bubliny pou\u017eijete kliknutia. Po pridan\u00ed referen\u010dn\u00fdch \u010diar pre X,Y os rozdel\u00edte graf do 4 kvadrantov. Tak\u00fdmto rozdelen\u00edm ste kategorizovali svoje kampane do 4 skup\u00edn pod\u013ea Growth\u2013share matrixu na:<\/span><\/p>\n<ul>\n<li style=\"font-weight: 400;\"><span style=\"font-weight: 400;\">Hviezdy &#x2b50; \u00a0<\/span><\/li>\n<li style=\"font-weight: 400;\"><span style=\"font-weight: 400;\">Dojn\u00e9 kravy &#x1f404; <\/span><\/li>\n<li style=\"font-weight: 400;\"><span style=\"font-weight: 400;\">Psy &#x1f415;<\/span><\/li>\n<li style=\"font-weight: 400;\"><span style=\"font-weight: 400;\">Ot\u00e1zniky &#x2753; \u00a0<\/span><\/li>\n<\/ul>\n<p><span style=\"font-weight: 400;\">Toto rozdelenie vych\u00e1dza z <\/span><a href=\"https:\/\/en.wikipedia.org\/wiki\/Growth%E2%80%93share_matrix\" target=\"_blank\" rel=\"noopener noreferrer\"><span style=\"font-weight: 400;\">Boston Consulting Group anal\u00fdzy<\/span><\/a><span style=\"font-weight: 400;\">, ktor\u00e1 s\u00edce analyzuje podiel na raste, no jej logika sa d\u00e1 uplatni\u0165 aj na in\u00e9 metriky.<\/span><\/p>\n<h1><span id=\"Zaver\"><strong>Z\u00e1ver<\/strong><\/span><\/h1>\n<p><span style=\"font-weight: 400;\">Uk\u00e1zali sme si 8 pokro\u010dil\u00fdch tipov, ako viete posun\u00fa\u0165 pr\u00e1cu s Google Data Studiom na nov\u00fa \u00farove\u0148. Pri tvorbe tohto \u010dl\u00e1nku som sa in\u0161piroval \u010dl\u00e1nok na blogu <\/span><a href=\"https:\/\/supermetrics.com\/blog\/google-data-studio-advanced-tips\" target=\"_blank\" rel=\"noopener noreferrer\"><span style=\"font-weight: 400;\">supermetrics<\/span><\/a><span style=\"font-weight: 400;\">.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Ktor\u00fd z tipov sa v\u00e1m najviac p\u00e1\u010dil? Budem r\u00e1d, ak sa s nimi podel\u00edte v koment\u00e1roch.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">\u010eakujem, \u017ee ste pre\u010d\u00edtali tento \u010dl\u00e1nok.\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Ak sa v\u00e1m \u010dl\u00e1nok p\u00e1\u010dil, budem r\u00e1d ak ho budete zdie\u013ea\u0165 so svojimi kolegami a s priate\u013emi.<\/span><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Vyu\u017e\u00edvajte potenci\u00e1l n\u00e1stroja Google Data Studio naplno. Pou\u017e\u00edvanie niektor\u00fdch pokro\u010dil\u00fdch funkci\u00ed v\u00e1m u\u013eah\u010d\u00ed vytv\u00e1ra\u0165 zrozumite\u013enej\u0161ie a preh\u013eadnej\u0161ie preh\u013eady&#8230;.<\/p>\n","protected":false},"author":69,"featured_media":16766,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":[],"categories":[667],"tags":[668],"_links":{"self":[{"href":"https:\/\/www.dase-analytics.com\/blog\/sk\/wp-json\/wp\/v2\/posts\/16765"}],"collection":[{"href":"https:\/\/www.dase-analytics.com\/blog\/sk\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.dase-analytics.com\/blog\/sk\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.dase-analytics.com\/blog\/sk\/wp-json\/wp\/v2\/users\/69"}],"replies":[{"embeddable":true,"href":"https:\/\/www.dase-analytics.com\/blog\/sk\/wp-json\/wp\/v2\/comments?post=16765"}],"version-history":[{"count":25,"href":"https:\/\/www.dase-analytics.com\/blog\/sk\/wp-json\/wp\/v2\/posts\/16765\/revisions"}],"predecessor-version":[{"id":17922,"href":"https:\/\/www.dase-analytics.com\/blog\/sk\/wp-json\/wp\/v2\/posts\/16765\/revisions\/17922"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.dase-analytics.com\/blog\/sk\/wp-json\/wp\/v2\/media\/16766"}],"wp:attachment":[{"href":"https:\/\/www.dase-analytics.com\/blog\/sk\/wp-json\/wp\/v2\/media?parent=16765"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.dase-analytics.com\/blog\/sk\/wp-json\/wp\/v2\/categories?post=16765"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.dase-analytics.com\/blog\/sk\/wp-json\/wp\/v2\/tags?post=16765"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}