{"id":478446,"date":"2023-08-09T09:32:56","date_gmt":"2023-08-09T09:32:56","guid":{"rendered":""},"modified":"2023-09-05T11:16:47","modified_gmt":"2023-09-05T11:16:47","slug":"pivot-table","status":"publish","type":"wiki","link":"https:\/\/oneproxy.pro\/tr\/wiki\/pivot-table\/","title":{"rendered":"Pivot tablo"},"content":{"rendered":"

Pivot tablo, karma\u015f\u0131k verileri yap\u0131land\u0131r\u0131lm\u0131\u015f ve kullan\u0131c\u0131 dostu bir \u015fekilde \u00f6zetlemek, analiz etmek ve sunmak i\u00e7in elektronik tablo yaz\u0131l\u0131mlar\u0131nda ve veritabanlar\u0131nda kullan\u0131lan g\u00fc\u00e7l\u00fc bir veri i\u015fleme arac\u0131d\u0131r. Kullan\u0131c\u0131lar\u0131n, bilgileri esnek ve dinamik bir \u015fekilde yeniden d\u00fczenleyerek ve \u00f6zetleyerek ham verileri eyleme ge\u00e7irilebilir i\u00e7g\u00f6r\u00fclere d\u00f6n\u00fc\u015ft\u00fcrmesine olanak tan\u0131r.<\/p>\n

Pivot tablonun k\u00f6keninin tarihi ve ilk s\u00f6z\u00fc.<\/h2>\n

Pivot tablo kavram\u0131 1970'li y\u0131llarda \u0130\u015f Zekas\u0131 alan\u0131nda ortaya \u00e7\u0131km\u0131\u015ft\u0131r. Pivot tablolar\u0131n ilk s\u00f6z\u00fc J. Mecker ve H. Landau'nun 1977'de yazd\u0131\u011f\u0131 \u201c\u00c7ok Boyutlu Verilerin G\u00f6rselle\u015ftirilmesi \u00dczerine\u201d ba\u015fl\u0131kl\u0131 ara\u015ft\u0131rma makalesine kadar uzanabilir. Ancak 1990'l\u0131 y\u0131llara kadar yayg\u0131n bir pop\u00fclerlik kazanamad\u0131lar. Yerle\u015fik Pivot tablo i\u015flevine sahip Microsoft Excel gibi elektronik tablo yaz\u0131l\u0131mlar\u0131n\u0131n ortaya \u00e7\u0131k\u0131\u015f\u0131yla.<\/p>\n

Pivot tablo hakk\u0131nda detayl\u0131 bilgi. Pivot tablo konusunu geni\u015fletme.<\/h2>\n

Pivot tablo, esasen kullan\u0131c\u0131lar\u0131n karma\u015f\u0131k programlamaya veya veritaban\u0131 sorgular\u0131na ihtiya\u00e7 duymadan \u00e7ok boyutlu analiz yapmalar\u0131n\u0131 sa\u011flar. A\u015fa\u011f\u0131daki eylemleri kolayla\u015ft\u0131rarak kullan\u0131c\u0131lar\u0131n ham verileri anlaml\u0131 i\u00e7g\u00f6r\u00fclere d\u00f6n\u00fc\u015ft\u00fcrmesine olanak tan\u0131r:<\/p>\n

    \n
  1. \n

    Veri \u00d6zetleme:<\/strong> Pivot tablolar, se\u00e7ilen veriler \u00fczerinde toplam, ortalama, say\u0131m vb. \u00e7e\u015fitli i\u015flevleri ger\u00e7ekle\u015ftirerek b\u00fcy\u00fck veri k\u00fcmelerini h\u0131zl\u0131 bir \u015fekilde \u00f6zetleyebilir.<\/p>\n<\/li>\n

  2. \n

    Verilerin Yeniden D\u00fczenlenmesi:<\/strong> Kullan\u0131c\u0131lar, verileri farkl\u0131 a\u00e7\u0131lardan ve hiyerar\u015filerden ke\u015ffetmek i\u00e7in sat\u0131rlar\u0131 ve s\u00fctunlar\u0131 kolayca yeniden d\u00fczenleyebilir, b\u00f6ylece e\u011filimleri ve kal\u0131plar\u0131 tan\u0131mlamay\u0131 kolayla\u015ft\u0131r\u0131r.<\/p>\n<\/li>\n

  3. \n

    Veri Filtreleme:<\/strong> Pivot tablolar, verileri belirli kriterlere g\u00f6re filtreleme olana\u011f\u0131 sunarak kullan\u0131c\u0131lar\u0131n ilgili bilgilere odaklanmas\u0131na olanak tan\u0131r.<\/p>\n<\/li>\n

  4. \n

    Veri Gruplamas\u0131:<\/strong> Kullan\u0131c\u0131lar verileri kategorilere, tarihlere veya di\u011fer fakt\u00f6rlere g\u00f6re grupland\u0131rarak veri ili\u015fkilerinin anla\u015f\u0131lmas\u0131n\u0131 kolayla\u015ft\u0131rabilir.<\/p>\n<\/li>\n

  5. \n

    Veri goruntuleme:<\/strong> Pivot tablolar, \u00f6zetlenmi\u015f verileri \u00e7izelgeler ve grafikler bi\u00e7iminde sunarak verilerin daha iyi anla\u015f\u0131lmas\u0131na yard\u0131mc\u0131 olabilir.<\/p>\n<\/li>\n<\/ol>\n

    Pivot tablonun i\u00e7 yap\u0131s\u0131. Pivot tablo nas\u0131l \u00e7al\u0131\u015f\u0131r?<\/h2>\n

    Pivot tablo birka\u00e7 temel bile\u015fenden olu\u015fur:<\/p>\n

      \n
    1. \n

      Sat\u0131r Etiketleri:<\/strong> Pivot tablosundaki sat\u0131rlar\u0131 tan\u0131mlamak i\u00e7in kullan\u0131lan alanlar.<\/p>\n<\/li>\n

    2. \n

      S\u00fctun Etiketleri:<\/strong> Pivot tablosundaki s\u00fctunlar\u0131 tan\u0131mlamak i\u00e7in kullan\u0131lan alanlar.<\/p>\n<\/li>\n

    3. \n

      Veri De\u011ferleri:<\/strong> Sat\u0131r ve s\u00fctun etiketlerine g\u00f6re \u00f6zetlenen say\u0131sal de\u011ferler.<\/p>\n<\/li>\n

    4. \n

      Rapor Filtresi:<\/strong> Kullan\u0131c\u0131lar\u0131n Pivot tabloda g\u00f6r\u00fcnt\u00fclenen verileri s\u0131n\u0131rlamas\u0131na olanak tan\u0131yan iste\u011fe ba\u011fl\u0131 bir filtre.<\/p>\n<\/li>\n<\/ol>\n

      Pivot tablo olu\u015ftururken kullan\u0131c\u0131lar, tabloyu analiz gereksinimlerine g\u00f6re yap\u0131land\u0131rmak i\u00e7in alanlar\u0131 uygun alanlara s\u00fcr\u00fckleyip b\u0131rakabilir. Pivot tablo daha sonra \u00f6zetlenen verileri d\u00fczenlemedeki de\u011fi\u015fikliklere g\u00f6re otomatik olarak hesaplar ve g\u00fcnceller.<\/p>\n

      Pivot tablonun temel \u00f6zelliklerinin analizi.<\/h2>\n

      Pivot tablolar\u0131n temel \u00f6zellikleri \u015funlar\u0131 i\u00e7erir:<\/p>\n

        \n
      1. \n

        Esneklik:<\/strong> Pivot tablolar, tablonun yap\u0131s\u0131n\u0131 an\u0131nda de\u011fi\u015ftirmek ve verileri farkl\u0131 perspektiflerden g\u00f6r\u00fcnt\u00fclemek i\u00e7in veri alanlar\u0131n\u0131 yeniden d\u00fczenleme, ekleme veya kald\u0131rma esnekli\u011fi sunar.<\/p>\n<\/li>\n

      2. \n

        Dinamik G\u00fcncelleme:<\/strong> Kaynak veriler de\u011fi\u015ftik\u00e7e Pivot tablolar, sonu\u00e7lar\u0131 g\u00fcncellemek ve veri do\u011frulu\u011funu korumak i\u00e7in yenilenebilir.<\/p>\n<\/li>\n

      3. \n

        Detaya \u0130nme Yetene\u011fi:<\/strong> Kullan\u0131c\u0131lar, temel ayr\u0131nt\u0131lar\u0131 g\u00f6r\u00fcnt\u00fclemek i\u00e7in \u00f6zetlenen verileri derinlemesine inceleyebilir ve derinlemesine analize yard\u0131mc\u0131 olabilir.<\/p>\n<\/li>\n

      4. \n

        Zaman verimlili\u011fi:<\/strong> Pivot tablolar, karma\u015f\u0131k hesaplamalar otomatikle\u015ftirildi\u011fi i\u00e7in veri analizi ve raporlama i\u00e7in gereken s\u00fcreyi \u00f6nemli \u00f6l\u00e7\u00fcde azalt\u0131r.<\/p>\n<\/li>\n

      5. \n

        Veri sunumu:<\/strong> Pivot tablolar, verileri tablolar, \u00e7izelgeler veya grafikler gibi \u00e7e\u015fitli formatlarda sunarak veri g\u00f6rselle\u015ftirmesini geli\u015ftirebilir.<\/p>\n<\/li>\n<\/ol>\n

        Hangi t\u00fcr Pivot tablonun mevcut oldu\u011funu yaz\u0131n. Yazmak i\u00e7in tablolar\u0131 ve listeleri kullan\u0131n.<\/h2>\n

        \u00c7e\u015fitli veri analizi ihtiya\u00e7lar\u0131n\u0131 kar\u015f\u0131layan farkl\u0131 Pivot tablo t\u00fcrleri mevcuttur:<\/p>\n

          \n
        1. \n

          Standart Pivot Tablo:<\/strong> Temel \u00f6zetleme ve veri analizi yeteneklerini sa\u011flayan en yayg\u0131n Pivot tablo t\u00fcr\u00fc.<\/p>\n<\/li>\n

        2. \n

          \u00c7oklu Konsolidasyon Pivot Tablosu:<\/strong> Kullan\u0131c\u0131lar\u0131n birden fazla kaynaktan veya \u00e7al\u0131\u015fma sayfas\u0131ndan gelen verileri tek bir Pivot tabloda birle\u015ftirmesine olanak tan\u0131r.<\/p>\n<\/li>\n

        3. \n

          \u0130statistiksel Pivot Tablo:<\/strong> Derinlemesine veri analizi ger\u00e7ekle\u015ftirmek i\u00e7in regresyon analizi, varyans vb. gibi geli\u015fmi\u015f istatistiksel i\u015flevler sa\u011flar.<\/p>\n<\/li>\n

        4. \n

          Hesaplanan \u00d6\u011fe Pivot Tablosu:<\/strong> Kullan\u0131c\u0131lar\u0131n Pivot tablosundaki mevcut veri alanlar\u0131n\u0131 kullanarak \u00f6zel hesaplamalar olu\u015fturmas\u0131na olanak tan\u0131r.<\/p>\n<\/li>\n<\/ol>\n

          Pivot tablonun kullan\u0131m yollar\u0131, kullan\u0131ma ili\u015fkin sorunlar ve \u00e7\u00f6z\u00fcmleri.<\/h2>\n

          Pivot tablolar a\u015fa\u011f\u0131dakiler de dahil olmak \u00fczere \u00e7e\u015fitli alanlarda uygulama alan\u0131 bulur:<\/p>\n

            \n
          1. \n

            \u0130\u015f analizi:<\/strong> Sat\u0131\u015f, pazarlama ve finansal veri analizi i\u00e7in.<\/p>\n<\/li>\n

          2. \n

            Veri madencili\u011fi:<\/strong> B\u00fcy\u00fck veri k\u00fcmelerindeki kal\u0131plar\u0131 ve e\u011filimleri ortaya \u00e7\u0131karmak i\u00e7in.<\/p>\n<\/li>\n

          3. \n

            Envanter y\u00f6netimi:<\/strong> Stok analizi ve optimizasyonu i\u00e7in.<\/p>\n<\/li>\n

          4. \n

            Proje Y\u00f6netimi:<\/strong> Proje ilerlemesini izlemek ve izlemek i\u00e7in.<\/p>\n<\/li>\n<\/ol>\n

            Yayg\u0131n Sorunlar ve \u00c7\u00f6z\u00fcmler:<\/strong><\/p>\n

              \n
            1. \n

              Yanl\u0131\u015f Veri:<\/strong> Pivot tabloyu olu\u015fturmadan \u00f6nce veri kayna\u011f\u0131nda hatalar veya tutars\u0131zl\u0131klar olup olmad\u0131\u011f\u0131n\u0131 do\u011frulay\u0131n.<\/p>\n<\/li>\n

            2. \n

              Veriler G\u00fcncellenmiyor:<\/strong> Kaynak verilerdeki de\u011fi\u015fiklikleri yans\u0131tmak i\u00e7in Pivot tabloyu yenileyin.<\/p>\n<\/li>\n

            3. \n

              Kay\u0131p veri:<\/strong> Pivot tablosundaki t\u00fcm olas\u0131 de\u011ferleri g\u00f6r\u00fcnt\u00fclemek i\u00e7in \u201cVeri Olmayan \u00d6\u011feleri G\u00f6ster\u201d se\u00e7ene\u011fini kullan\u0131n.<\/p>\n<\/li>\n

            4. \n

              Veri Formatlama:<\/strong> Verilerin do\u011fru \u015fekilde sunuldu\u011fundan emin olmak i\u00e7in uygun bi\u00e7imlendirmeyi uygulay\u0131n.<\/p>\n<\/li>\n<\/ol>\n

              Ana \u00f6zellikler ve benzer terimlerle di\u011fer kar\u015f\u0131la\u015ft\u0131rmalar tablo ve liste \u015feklinde.<\/h2>\n

              Pivot tablolar ve benzer terimler aras\u0131ndaki kar\u015f\u0131la\u015ft\u0131rmay\u0131 burada bulabilirsiniz:<\/p>\n\n\n\n\n\n\n\n\n\n
              karakteristik<\/th>\nPivot tablo<\/th>\n\u00c7apraz Tablo Sorgusu<\/th>\nElektronik Tablo Grafikleri<\/th>\n<\/tr>\n<\/thead>\n
              Veri kayna\u011f\u0131<\/td>\nVeritabanlar\u0131<\/td>\nVeritabanlar\u0131<\/td>\nE-tablolar<\/td>\n<\/tr>\n
              Veri toplama<\/td>\nEvet<\/td>\nEvet<\/td>\nS\u0131n\u0131rl\u0131<\/td>\n<\/tr>\n
              Dinamik G\u00fcncellemeler<\/td>\nEvet<\/td>\nHAYIR<\/td>\nEvet<\/td>\n<\/tr>\n
              \u00c7ok Boyutlu Veri<\/td>\nEvet<\/td>\nHAYIR<\/td>\nHAYIR<\/td>\n<\/tr>\n
              Geli\u015fmi\u015f Hesaplamalar<\/td>\nEvet<\/td>\nEvet<\/td>\nS\u0131n\u0131rl\u0131<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

              Pivot tabloyla ilgili gelece\u011fin perspektifleri ve teknolojileri.<\/h2>\n

              Pivot tablolar\u0131n gelece\u011fi, ileri teknolojilerin ve veri analiti\u011finin entegrasyonuyla umut vericidir. Baz\u0131 potansiyel geli\u015fmeler \u015funlar\u0131 i\u00e7erir:<\/p>\n

                \n
              1. \n

                Yapay zeka:<\/strong> Yapay zeka destekli Pivot tablolar, veri analizini otomatikle\u015ftirebilir ve ilgili bilgiler \u00f6nerebilir.<\/p>\n<\/li>\n

              2. \n

                Do\u011fal Dil \u0130\u015fleme:<\/strong> Pivot tablolar, do\u011fal dildeki sorgular\u0131 destekleyerek onlar\u0131 daha kullan\u0131c\u0131 dostu hale getirebilir.<\/p>\n<\/li>\n

              3. \n

                Bulut Entegrasyonu:<\/strong> Bulut tabanl\u0131 Pivot tablolar, ger\u00e7ek zamanl\u0131 i\u015fbirli\u011fine ve veri payla\u015f\u0131m\u0131na olanak sa\u011flayabilir.<\/p>\n<\/li>\n

              4. \n

                B\u00fcy\u00fck Veri Analizi:<\/strong> Pivot tablolar daha b\u00fcy\u00fck veri k\u00fcmelerini i\u015fleyebilir ve karma\u015f\u0131k analizleri daha verimli bir \u015fekilde ger\u00e7ekle\u015ftirebilir.<\/p>\n<\/li>\n<\/ol>\n

                Proxy sunucular\u0131 nas\u0131l kullan\u0131labilir veya Pivot tabloyla nas\u0131l ili\u015fkilendirilebilir?<\/h2>\n

                Proxy sunucular\u0131 Pivot tablolar\u0131n\u0131 a\u015fa\u011f\u0131daki \u015fekillerde tamamlayabilir:<\/p>\n

                  \n
                1. \n

                  Veri gizlili\u011fi:<\/strong> Proxy sunucular\u0131, Pivot tablolar\u0131ndaki hassas verilerle \u00e7al\u0131\u015f\u0131rken ek bir gizlilik katman\u0131 sa\u011flayarak kullan\u0131c\u0131n\u0131n IP adresini anonimle\u015ftirebilir.<\/p>\n<\/li>\n

                2. \n

                  Veri Kaz\u0131ma:<\/strong> Proxy sunucular\u0131, Pivot tablolar kullan\u0131larak toplanabilen ve analiz edilebilen birden fazla kaynaktan veri al\u0131nmas\u0131na olanak tan\u0131r.<\/p>\n<\/li>\n

                3. \n

                  Co\u011frafi Konum Analizi:<\/strong> Proxy'ler farkl\u0131 co\u011frafi konumlardan veri toplanmas\u0131na yard\u0131mc\u0131 olarak Pivot tablolarla co\u011frafi konuma dayal\u0131 analizi geli\u015ftirebilir.<\/p>\n<\/li>\n<\/ol>\n

                  \u0130lgili Ba\u011flant\u0131lar<\/h2>\n

                  Pivot tablolar hakk\u0131nda daha fazla bilgi i\u00e7in a\u015fa\u011f\u0131daki kaynaklara ba\u015fvurabilirsiniz:<\/p>\n

                    \n
                  1. \n

                    Microsoft Deste\u011fi: \u00c7al\u0131\u015fma sayfas\u0131 verilerini analiz etmek i\u00e7in PivotTable olu\u015fturma<\/a><\/p>\n<\/li>\n

                  2. \n

                    DataCamp: Excel'deki Pivot Tablolar<\/a><\/p>\n<\/li>\n

                  3. \n

                    Oracle Yard\u0131m Merkezi: Pivot Tablolar Olu\u015fturma<\/a><\/p>\n<\/li>\n

                  4. \n

                    YouTube: Pivot Tablolara Giri\u015f<\/a><\/p>\n<\/li>\n<\/ol>\n

                    Bireyler ve i\u015fletmeler, Pivot tablo sanat\u0131nda ustala\u015farak, verilerinin ger\u00e7ek potansiyelini ortaya \u00e7\u0131karabilir, bilin\u00e7li kararlar alabilir ve g\u00fcn\u00fcm\u00fcz\u00fcn veri odakl\u0131 d\u00fcnyas\u0131nda rekabet avantaj\u0131 elde edebilir.<\/p>","protected":false},"featured_media":469169,"menu_order":0,"template":"","meta":{"_acf_changed":false,"content-type":"","inline_featured_image":false,"footnotes":""},"class_list":["post-478446","wiki","type-wiki","status-publish","has-post-thumbnail","hentry"],"acf":{"faq_title":"Frequently Asked Questions about Pivot Table: A Comprehensive Guide<\/mark>","faq_items":[{"question":"What is a Pivot table?","answer":"

                    A Pivot table is a powerful data processing tool used in spreadsheet software and databases to summarize, analyze, and present complex data in a structured and user-friendly manner. It allows users to transform raw data into actionable insights by rearranging and summarizing information in a flexible and dynamic way.<\/p>"},{"question":"How did the concept of Pivot tables originate?","answer":"

                    The concept of Pivot tables originated in the field of Business Intelligence during the 1970s. The initial mention of Pivot tables can be traced back to a research paper titled \"On the Visualization of Multi-dimensional Data\" by J. Mecker and H. Landau in 1977. However, it wasn't until the 1990s that they gained widespread popularity with the advent of spreadsheet software like Microsoft Excel, which featured built-in Pivot table functionality.<\/p>"},{"question":"How does a Pivot table work?","answer":"

                    A Pivot table consists of several core components, including row labels, column labels, data values, and an optional report filter. Users can drag and drop fields into the appropriate areas to structure the table according to their analysis requirements. The Pivot table then automatically calculates and updates the summarized data as per the changes in the arrangement.<\/p>"},{"question":"What are the key features of Pivot tables?","answer":"

                    Pivot tables offer flexibility, dynamic updating, drill-down capability, time efficiency, and data presentation options. Users can quickly rearrange, add, or remove data fields to change the table's structure and view data from different perspectives. Pivot tables can also present data in various formats like tables, charts, or graphs, enhancing data visualization.<\/p>"},{"question":"What types of Pivot tables exist?","answer":"

                    There are different types of Pivot tables available, catering to diverse data analysis needs. Standard Pivot tables are the most common and provide basic summarization and analysis capabilities. Multiple Consolidation Pivot tables allow users to consolidate data from multiple sources or worksheets. Statistical Pivot tables offer advanced statistical functions, and Calculated Item Pivot tables enable custom calculations using existing data fields.<\/p>"},{"question":"How can Pivot tables be used, and what are common problems and solutions?","answer":"

                    Pivot tables find application in various fields such as business analysis, data mining, inventory management, and project management. Common problems include incorrect data, data not updating, missing data, and data formatting issues. Solutions involve verifying data sources, refreshing Pivot tables, using \"Show Items with No Data,\" and applying proper formatting.<\/p>"},{"question":"How do Pivot tables compare to similar terms?","answer":"

                    Here's a comparison between Pivot tables, Crosstab Query, and Spreadsheet Charts:<\/p>
                    Characteristic<\/th>Pivot Table<\/th>Crosstab Query<\/th>Spreadsheet Charts<\/th><\/tr><\/thead>
                    Data Source<\/td>Databases<\/td>Databases<\/td>Spreadsheets<\/td><\/tr>
                    Data Aggregation<\/td>Yes<\/td>Yes<\/td>Limited<\/td><\/tr>
                    Dynamic Updates<\/td>Yes<\/td>No<\/td>Yes<\/td><\/tr>
                    Multidimensional Data<\/td>Yes<\/td>No<\/td>No<\/td><\/tr>
                    Advanced Calculations<\/td>Yes<\/td>Yes<\/td>Limited<\/td><\/tr><\/tbody><\/table>"},{"question":"What are the future perspectives and technologies related to Pivot tables?","answer":"

                    The future of Pivot tables is promising, with the integration of advanced technologies and data analytics. Potential developments include AI-driven Pivot tables, natural language processing support, cloud integration, and improved handling of big data analysis.<\/p>"},{"question":"How can proxy servers be associated with Pivot tables?","answer":"

                    Proxy servers can complement Pivot tables by providing an additional layer of data privacy and enabling data scraping from multiple sources, enhancing geolocation-based analysis.<\/p>"},{"question":"Where can I find more information about Pivot tables?","answer":"

                    For more information about Pivot tables, you can refer to the following resources:<\/p>

                    1. Microsoft Support: Create a PivotTable to analyze worksheet data<\/a><\/p><\/li>

                    2. DataCamp: Pivot Tables in Excel<\/a><\/p><\/li>

                    3. Oracle Help Center: Creating Pivot Tables<\/a><\/p><\/li>

                    4. YouTube: Introduction to Pivot Tables<\/a><\/p><\/li><\/ol>"}]},"_links":{"self":[{"href":"https:\/\/oneproxy.pro\/tr\/wp-json\/wp\/v2\/wiki\/478446","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/oneproxy.pro\/tr\/wp-json\/wp\/v2\/wiki"}],"about":[{"href":"https:\/\/oneproxy.pro\/tr\/wp-json\/wp\/v2\/types\/wiki"}],"version-history":[{"count":0,"href":"https:\/\/oneproxy.pro\/tr\/wp-json\/wp\/v2\/wiki\/478446\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/oneproxy.pro\/tr\/wp-json\/wp\/v2\/media\/469169"}],"wp:attachment":[{"href":"https:\/\/oneproxy.pro\/tr\/wp-json\/wp\/v2\/media?parent=478446"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}