{"id":2869,"date":"2023-07-20T08:06:34","date_gmt":"2023-07-20T08:06:34","guid":{"rendered":"https:\/\/statorials.org\/id\/statistik-ringkasan-panda\/"},"modified":"2023-07-20T08:06:34","modified_gmt":"2023-07-20T08:06:34","slug":"statistik-ringkasan-panda","status":"publish","type":"post","link":"https:\/\/statorials.org\/id\/statistik-ringkasan-panda\/","title":{"rendered":"Cara menghitung statistik ringkasan untuk pandas dataframe"},"content":{"rendered":"<p><\/p>\n<hr>\n<p><span style=\"color: #000000;\">Anda dapat menggunakan metode berikut untuk menghitung statistik ringkasan untuk variabel dalam pandas DataFrame:<\/span><\/p>\n<p> <span style=\"color: #000000;\"><strong>Metode 1: Hitung ringkasan statistik untuk semua variabel numerik<\/strong><\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong>df. <span style=\"color: #3366ff;\">describe<\/span> ()\n<\/strong><\/pre>\n<p> <span style=\"color: #000000;\"><strong>Metode 2: Hitung statistik ringkasan untuk semua variabel string<\/strong><\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong>df. <span style=\"color: #3366ff;\">describe<\/span> (include=' <span style=\"color: #ff0000;\">object<\/span> ')<\/strong><\/pre>\n<p> <span style=\"color: #000000;\"><strong>Metode 3: Hitung ringkasan statistik yang dikelompokkan berdasarkan variabel<\/strong><\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong>df. <span style=\"color: #3366ff;\">groupby<\/span> (' <span style=\"color: #ff0000;\">group_column<\/span> '). <span style=\"color: #3366ff;\">mean<\/span> ()\n\ndf. <span style=\"color: #3366ff;\">groupby<\/span> (' <span style=\"color: #ff0000;\">group_column<\/span> '). <span style=\"color: #3366ff;\">median<\/span> ()\n\ndf. <span style=\"color: #3366ff;\">groupby<\/span> (' <span style=\"color: #ff0000;\">group_column<\/span> '). <span style=\"color: #3366ff;\">max<\/span> ()\n\n...<\/strong><\/pre>\n<p> <span style=\"color: #000000;\">Contoh berikut menunjukkan cara menggunakan setiap metode dalam praktik dengan pandas DataFrame berikut:<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008000;\">import<\/span> pandas <span style=\"color: #008000;\">as<\/span> pd\n<span style=\"color: #008000;\">import<\/span> numpy <span style=\"color: #008000;\">as<\/span> np\n\n<span style=\"color: #008080;\">#createDataFrame\n<\/span>df = pd. <span style=\"color: #3366ff;\">DataFrame<\/span> ({' <span style=\"color: #ff0000;\">team<\/span> ': ['A', 'A', 'A', 'A', 'B', 'B', 'B', 'B', 'B'],\n                   ' <span style=\"color: #ff0000;\">points<\/span> ': [18, 22, 19, 14, 14, 11, 20, 28, 30],\n                   ' <span style=\"color: #ff0000;\">assists<\/span> ': [5, np.nan, 7, 9, 12, 9, 9, 4, 5],\n                   ' <span style=\"color: #ff0000;\">rebounds<\/span> ': [11, 8, 10, 6, 6, 5, 9, np.nan, 6]})\n\n<span style=\"color: #008080;\">#view DataFrame\n<\/span><span style=\"color: #008000;\">print<\/span> (df)\n\n  team points assists rebounds\n0 to 18 5.0 11.0\n1 to 22 NaN 8.0\n2 A 19 7.0 10.0\n3 A 14 9.0 6.0\n4 B 14 12.0 6.0\n5 B 11 9.0 5.0\n6 B 20 9.0 9.0\n7 B 28 4.0 NaN\n8 B 30 5.0 6.0\n<\/strong><\/pre>\n<h3> <span style=\"color: #000000;\"><strong>Contoh 1: Hitung ringkasan statistik untuk semua variabel numerik<\/strong><\/span><\/h3>\n<p> <span style=\"color: #000000;\">Kode berikut menunjukkan cara menghitung statistik ringkasan untuk setiap variabel numerik di DataFrame:<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong>df. <span style=\"color: #3366ff;\">describe<\/span> ()\n\n\t   points assists rebounds\ncount 9.000000 8.000000 8.000000\nmean 19.555556 7.500000 7.625000\nstd 6.366143 2.725541 2.199838\nmin 11.000000 4.000000 5.000000\n25% 14,000000 5,000000 6,000000\n50% 19,000000 8,000000 7,000000\n75% 22.000000 9.000000 9.250000\nmax 30.000000 12.000000 11.000000<\/strong><\/pre>\n<p> <span style=\"color: #000000;\">Kita dapat melihat ringkasan statistik berikut untuk masing-masing dari tiga variabel numerik:<\/span><\/p>\n<ul>\n<li> <span style=\"color: #000000;\"><strong>count:<\/strong> jumlah nilai bukan nol<\/span><\/li>\n<li> <span style=\"color: #000000;\"><strong>rata-rata<\/strong> : Nilai rata-rata<\/span><\/li>\n<li> <span style=\"color: #000000;\"><strong>std<\/strong> : Deviasi standar<\/span><\/li>\n<li> <span style=\"color: #000000;\"><strong>min:<\/strong> nilai minimum<\/span><\/li>\n<li> <span style=\"color: #000000;\"><strong>25%<\/strong> : Nilai pada persentil ke-25<\/span><\/li>\n<li> <span style=\"color: #000000;\"><strong>50%<\/strong> : Nilai pada persentil ke-50 (juga median)<\/span><\/li>\n<li> <span style=\"color: #000000;\"><strong>75%<\/strong> : Nilai pada persentil ke-75<\/span><\/li>\n<li> <span style=\"color: #000000;\"><strong>max<\/strong> : Nilai maksimum<\/span><\/li>\n<\/ul>\n<h3> <span style=\"color: #000000;\"><strong>Contoh 2: Hitung statistik ringkasan untuk semua variabel string<\/strong><\/span><\/h3>\n<p> <span style=\"color: #000000;\">Kode berikut menunjukkan cara menghitung statistik ringkasan untuk setiap variabel string di DataFrame:<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong>df. <span style=\"color: #3366ff;\">describe<\/span> (include=' <span style=\"color: #ff0000;\">object<\/span> ')\n\n\tteam\ncount 9\nsingle 2\ntop B\nfreq 5<\/strong><\/pre>\n<p> <span style=\"color: #000000;\">Kita dapat melihat ringkasan statistik berikut untuk variabel string di DataFrame kita:<\/span><\/p>\n<ul>\n<li> <span style=\"color: #000000;\"><strong>count<\/strong> : Jumlah nilai bukan nol<\/span><\/li>\n<li> <span style=\"color: #000000;\"><strong>unik<\/strong> : Jumlah nilai unik<\/span><\/li>\n<li> <span style=\"color: #000000;\"><strong>di atas:<\/strong> nilai yang paling sering<\/span><\/li>\n<li> <span style=\"color: #000000;\"><strong>freq<\/strong> : Jumlah nilai yang paling sering muncul<\/span><\/li>\n<\/ul>\n<h3> <span style=\"color: #000000;\"><strong>Contoh 3: Hitung ringkasan statistik yang dikelompokkan berdasarkan variabel<\/strong><\/span><\/h3>\n<p> <span style=\"color: #000000;\">Kode berikut menunjukkan cara menghitung nilai rata-rata semua variabel numerik, yang dikelompokkan berdasarkan variabel <strong>tim<\/strong> :<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong>df. <span style=\"color: #3366ff;\">groupby<\/span> (' <span style=\"color: #ff0000;\">team<\/span> '). <span style=\"color: #3366ff;\">mean<\/span> ()\n\n\tpoints assists rebounds\nteam\t\t\t\nA 18.25 7.0 8.75\nB 20.60 7.8 6.50\n<\/strong><\/pre>\n<p> <span style=\"color: #000000;\">Outputnya menampilkan nilai rata-rata variabel <strong>poin<\/strong> , <strong>assist<\/strong> , dan <strong>rebound<\/strong> , yang dikelompokkan berdasarkan variabel <strong>tim<\/strong> .<\/span><\/p>\n<p> <span style=\"color: #000000;\">Perhatikan bahwa kita dapat menggunakan sintaks serupa untuk menghitung statistik ringkasan yang berbeda, seperti median:<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong>df. <span style=\"color: #3366ff;\">groupby<\/span> (' <span style=\"color: #ff0000;\">team<\/span> '). <span style=\"color: #3366ff;\">median<\/span> ()\n\n\tpoints assists rebounds\nteam\t\t\t\nA 18.5 7.0 9.0\nB 20.0 9.0 6.0<\/strong><\/pre>\n<p> <span style=\"color: #000000;\">Outputnya menampilkan nilai median dari <strong>variabel poin<\/strong> , <strong>assist<\/strong> , dan <strong>rebound<\/strong> , yang dikelompokkan berdasarkan variabel <strong>tim<\/strong> .<\/span><\/p>\n<p> <span style=\"color: #000000;\"><strong>Catatan<\/strong> : Anda dapat menemukan dokumentasi lengkap fungsi <strong>deskripsi<\/strong> di pandas <a href=\"https:\/\/pandas.pydata.org\/docs\/reference\/api\/pandas.DataFrame.describe.html\" target=\"_blank\" rel=\"noopener\">di sini<\/a> .<\/span><\/p>\n<h3> <span style=\"color: #000000;\"><strong>Sumber daya tambahan<\/strong><\/span><\/h3>\n<p> <span style=\"color: #000000;\">Tutorial berikut menjelaskan cara melakukan tugas panda umum lainnya:<\/span><\/p>\n<p> <a href=\"https:\/\/statorials.org\/id\/kelompok-panda-berdasarkan-nomor\/\" target=\"_blank\" rel=\"noopener\">Cara menghitung penampakan kelompok pada panda<\/a><br \/> <a href=\"https:\/\/statorials.org\/id\/maks-per-kelompok-panda\/\" target=\"_blank\" rel=\"noopener\">Bagaimana menemukan nilai maksimal per grup di Pandas<\/a><br \/> <a href=\"https:\/\/statorials.org\/id\/menghapus-pencilan-python\/\" target=\"_blank\" rel=\"noopener\">Cara mengidentifikasi outlier pada panda<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Anda dapat menggunakan metode berikut untuk menghitung statistik ringkasan untuk variabel dalam pandas DataFrame: Metode 1: Hitung ringkasan statistik untuk semua variabel numerik df. describe () Metode 2: Hitung statistik ringkasan untuk semua variabel string df. describe (include=&#8217; object &#8216;) Metode 3: Hitung ringkasan statistik yang dikelompokkan berdasarkan variabel df. groupby (&#8216; group_column &#8216;). mean [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[11],"tags":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v21.5 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>Cara menghitung statistik ringkasan untuk Pandas DataFrame - Statorials<\/title>\n<meta name=\"description\" content=\"Tutorial ini menjelaskan cara menghitung statistik ringkasan untuk DataFrame pandas, dengan sebuah contoh.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/statorials.org\/id\/statistik-ringkasan-panda\/\" \/>\n<meta property=\"og:locale\" content=\"id_ID\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Cara menghitung statistik ringkasan untuk Pandas DataFrame - Statorials\" \/>\n<meta property=\"og:description\" content=\"Tutorial ini menjelaskan cara menghitung statistik ringkasan untuk DataFrame pandas, dengan sebuah contoh.\" \/>\n<meta property=\"og:url\" content=\"https:\/\/statorials.org\/id\/statistik-ringkasan-panda\/\" \/>\n<meta property=\"og:site_name\" content=\"Statorials\" \/>\n<meta property=\"article:published_time\" content=\"2023-07-20T08:06:34+00:00\" \/>\n<meta name=\"author\" content=\"Benjamin anderson\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:label1\" content=\"Ditulis oleh\" \/>\n\t<meta name=\"twitter:data1\" content=\"Benjamin anderson\" \/>\n\t<meta name=\"twitter:label2\" content=\"Estimasi waktu membaca\" \/>\n\t<meta name=\"twitter:data2\" content=\"2 menit\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\/\/schema.org\",\"@graph\":[{\"@type\":\"WebPage\",\"@id\":\"https:\/\/statorials.org\/id\/statistik-ringkasan-panda\/\",\"url\":\"https:\/\/statorials.org\/id\/statistik-ringkasan-panda\/\",\"name\":\"Cara menghitung statistik ringkasan untuk Pandas DataFrame - Statorials\",\"isPartOf\":{\"@id\":\"https:\/\/statorials.org\/id\/#website\"},\"datePublished\":\"2023-07-20T08:06:34+00:00\",\"dateModified\":\"2023-07-20T08:06:34+00:00\",\"author\":{\"@id\":\"https:\/\/statorials.org\/id\/#\/schema\/person\/3d17a1160dd2d052b7c78e502cb9ec81\"},\"description\":\"Tutorial ini menjelaskan cara menghitung statistik ringkasan untuk DataFrame pandas, dengan sebuah contoh.\",\"breadcrumb\":{\"@id\":\"https:\/\/statorials.org\/id\/statistik-ringkasan-panda\/#breadcrumb\"},\"inLanguage\":\"id\",\"potentialAction\":[{\"@type\":\"ReadAction\",\"target\":[\"https:\/\/statorials.org\/id\/statistik-ringkasan-panda\/\"]}]},{\"@type\":\"BreadcrumbList\",\"@id\":\"https:\/\/statorials.org\/id\/statistik-ringkasan-panda\/#breadcrumb\",\"itemListElement\":[{\"@type\":\"ListItem\",\"position\":1,\"name\":\"Home\",\"item\":\"https:\/\/statorials.org\/id\/\"},{\"@type\":\"ListItem\",\"position\":2,\"name\":\"Cara menghitung statistik ringkasan untuk pandas dataframe\"}]},{\"@type\":\"WebSite\",\"@id\":\"https:\/\/statorials.org\/id\/#website\",\"url\":\"https:\/\/statorials.org\/id\/\",\"name\":\"Statorials\",\"description\":\"Panduan anda untuk kompetensi statistik!\",\"potentialAction\":[{\"@type\":\"SearchAction\",\"target\":{\"@type\":\"EntryPoint\",\"urlTemplate\":\"https:\/\/statorials.org\/id\/?s={search_term_string}\"},\"query-input\":\"required name=search_term_string\"}],\"inLanguage\":\"id\"},{\"@type\":\"Person\",\"@id\":\"https:\/\/statorials.org\/id\/#\/schema\/person\/3d17a1160dd2d052b7c78e502cb9ec81\",\"name\":\"Benjamin anderson\",\"image\":{\"@type\":\"ImageObject\",\"inLanguage\":\"id\",\"@id\":\"https:\/\/statorials.org\/id\/#\/schema\/person\/image\/\",\"url\":\"http:\/\/statorials.org\/id\/wp-content\/uploads\/2023\/10\/Dr.-Benjamin-Anderson-96x96.jpg\",\"contentUrl\":\"http:\/\/statorials.org\/id\/wp-content\/uploads\/2023\/10\/Dr.-Benjamin-Anderson-96x96.jpg\",\"caption\":\"Benjamin anderson\"},\"description\":\"Halo, saya Benjamin, pensiunan profesor statistika yang menjadi guru Statorial yang berdedikasi. 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