{"id":5817,"date":"2024-03-14T13:49:02","date_gmt":"2024-03-14T05:49:02","guid":{"rendered":"https:\/\/bap2.cm.nsysu.edu.tw\/?page_id=5817"},"modified":"2024-03-14T13:49:02","modified_gmt":"2024-03-14T05:49:02","slug":"5-%e7%b9%aa%e5%9c%96%e5%a5%97%e4%bb%b6-cm512-2024-02","status":"publish","type":"page","link":"https:\/\/bap2.cm.nsysu.edu.tw\/?page_id=5817","title":{"rendered":"5. \u7e6a\u5716\u5957\u4ef6 (CM512 2024.02)"},"content":{"rendered":"
\u55ae\u5143\u5927\u7db1\uff1a<\/b><\/h5>\n
\u25c6 ggplot \u5957\u4ef6\u7c21\u4ecb Intro. to ggplot<\/h6>\n
\u25c6 dplye %>% ggplot \u8cc7\u6599\u88dd\u914d\u7dda Data Pipeline<\/h6>\n
\u25c7 \u8cc7\u6599\u6574\u7406\u8207\u6558\u8a34\u7d71\u8a08 Descriptive Statistics<\/h6>\n
\u25c7 \u7e6a\u5716\u8207\u63a2\u7d22\u6027\u8cc7\u6599\u5206\u6790 Exploratory Data Analysis<\/h6>\n
\u25c6 05A: \u9ede\u72c0\u5716 Scatter Plots, `geom_point`<\/h6>\n
\u25c7 \u5404\u5206\u6790\u5c0d\u8c61\u4e4b\u9593\u7684\u6bd4\u8f03 Comparing the Subjects<\/h6>\n
\u25c7 \u6b04\u4f4d\u8b8a\u6578\u8207\u5716\u9ede\u5c6c\u6027\u4e4b\u9593\u7684\u5c0d\u61c9\u95dc\u4fc2 Mapping Variables to Geometry Attributes<\/h6>\n
\u25c7 \u4e92\u52d5\u6027\u5716\u8868\u8207\u8cc7\u6599\u63a2\u7d22 Interactive Chart & Data Exploration<\/h6>\n
\u25c6 05B: \u76f4\u689d\u5716 Bar Plots, `geom_bar`<\/h6>\n
\u25c7 \u4e09\u7a2e\u76f4\u689d\u5716 Three kinds of bar plots<\/h6>\n
\u25c7 \u985e\u5225\u8b8a\u6578\u8207\u7fa4\u7d44\u6bd4\u8f03 Categorical Variables (Factors) and Group Comparison<\/h6>\n
\u25c7 \u5169\u985e\u5225\u8b8a\u6578\u8207\u5217\u806f\u8868 Two Factors and Contingent Table<\/h6>\n
\u25c6 05C: \u6298\u7dda\u5716 Line Plots, `geom_line`<\/h6>\n
\u25c7 \u89c0\u5bdf\u3001\u6bd4\u8f03\u8da8\u52e2 Examining and Comparing Trends<\/h6>\n
\u25c7 \u4f7f\u7528\u7a97\u683c Using `facet`<\/h6>\n
\n
\u8ab2\u5802\u7b46\u8a18\uff1a<\/b><\/h5>\n
\u25c6 UNIT5A\uff1a\u9ede\u72c0\u5716 unit5A_geom_point ( html<\/a> )<\/h6>\n
\u25c6 UNIT5B\uff1a\u76f4\u689d\u5716 unit5B_geom_bar ( html<\/a> )<\/h6>\n
\u25c6 UNIT5C\uff1a\u6298\u7dda\u5716 unit5C_geom_line ( html<\/a> )<\/h6>\n
\ud83c\udfa5 \u770b\u6f2b\u756b\u5b78\u7a0b\u5f0fEP07-EP11\u00a0 ( YouTube Playlist<\/a>\u00a0 25 mins)<\/h5>\n
\n
\u6559\u6750\u4e0b\u8f09\uff1a\u00a0<\/b><\/h5>\n
\u25c6 \u6559\u6750\u8cc7\u6599\u593e ( ~\/cm512\/<\/a> )<\/h6>\n
\u25c6 Unit05\u55ae\u5143\u8cc7\u6599\u593e ( ~\/cm512\/05\u9032\u968e\u7e6a\u5716\u5957\u4ef6\/<\/a> )<\/h6>\n
\n
\u7b2c\u4e94\u5468\u4f5c\u696d\uff1a Due: 2024\/03\/24 (\u65e5) 23:59 <\/b><\/h5>\n
\u500b\u4eba\u4f5c\u696d\uff1a<\/b><\/h6>\n
1. \u56de\u7b54\u8ab2\u5802\u7b46\u8a18unit05A\/B\/C\u4e4b\u4e2d\u7684\u554f\u984c\uff0cknit\u597dHTML\u6a94\uff0c\u4ee5\u6a94\u540d”\u5b78\u865f_unit05A\/B\/C.html”<\/h6>\n
\u4e0a\u50b3\u5230\u96f2\u7aef\u8cc7\u6599\u593e[ ~\/\u500b\u4eba\u4f5c\u696d\/05_ggplot\/<\/a> ]<\/h6>\n
\n
\u8ab2\u7a0b\u5f71\u7247\uff1a<\/b><\/h5>\n
\u25c6 Week05 Video Recording<\/h6>\n
\n
\u53c3\u8003\u9023\u7d50\uff1a<\/b><\/h6>\n
\u25c6\u00a0\u00a0Portal of Big Data BA Platform<\/a><\/h6>\n
\u25c6\u00a0\u00a0R: Self Learning Roadmap<\/a><\/h6>\n
\u25c6\u00a0 John Hopkins: R Programming online course<\/a><\/h6>\n
\u25c6\u00a0\u00a0John Hopkins: R Programming eBook<\/a><\/h6>\n
\u25c6\u00a0\u00a0Harvard: Data Science online course<\/a><\/h6>\n
\u25c6\u00a0 Harvard: Data Science ebook<\/a><\/h6>\n
\n","protected":false},"excerpt":{"rendered":"

\u55ae\u5143\u5927\u7db1\uff1a \u25c6 ggplot \u5957\u4ef6\u7c21\u4ecb Intro. to ggplot \u25c6 dplye %>% ggplot \u8cc7\u6599\u88dd\u914d\u7dda Data Pipeline \u25c7 \u8cc7\u6599\u6574\u7406\u8207\u6558\u8a34\u7d71\u8a08 Descriptive Statistics \u25c7 \u7e6a\u5716\u8207\u63a2\u7d22\u6027\u8cc7\u6599\u5206\u6790 Exploratory Data Analysis \u25c6 05A: \u9ede\u72c0\u5716 Scatter Plots, `geom_point` \u25c7 \u5404\u5206\u6790\u5c0d\u8c61\u4e4b\u9593\u7684\u6bd4\u8f03 Comparing the Subjects \u25c7 \u6b04\u4f4d\u8b8a\u6578\u8207\u5716\u9ede\u5c6c\u6027\u4e4b\u9593\u7684\u5c0d\u61c9\u95dc\u4fc2 Mapping Variables to Geometry Attributes \u25c7 \u4e92\u52d5\u6027\u5716\u8868\u8207\u8cc7\u6599\u63a2\u7d22 Interactive Chart & Data Exploration \u25c6 05B: \u76f4\u689d\u5716 Bar Plots, `geom_bar` \u25c7 \u4e09\u7a2e\u76f4\u689d\u5716 Three kinds of bar plots \u25c7 \u985e\u5225\u8b8a\u6578\u8207\u7fa4\u7d44\u6bd4\u8f03 Categorical Variables (Factors) and Group Comparison \u25c7 \u5169\u985e\u5225\u8b8a\u6578\u8207\u5217\u806f\u8868 Two Factors and Contingent Table \u25c6 05C: \u6298\u7dda\u5716 Line Plots, `geom_line` \u25c7 \u89c0\u5bdf\u3001\u6bd4\u8f03\u8da8\u52e2 Examining and Comparing Trends \u25c7 \u4f7f\u7528\u7a97\u683c Using `facet` \u8ab2\u5802\u7b46\u8a18\uff1a \u25c6 UNIT5A\uff1a\u9ede\u72c0\u5716 unit5A_geom_point ( html ) \u25c6 UNIT5B\uff1a\u76f4\u689d\u5716 unit5B_geom_bar ( html ) \u25c6 UNIT5C\uff1a\u6298\u7dda\u5716 unit5C_geom_line ( html ) \ud83c\udfa5 \u770b\u6f2b\u756b\u5b78\u7a0b\u5f0fEP07-EP11\u00a0 ( YouTube Playlist\u00a0 25 mins) \u6559\u6750\u4e0b\u8f09\uff1a\u00a0 \u25c6 \u6559\u6750\u8cc7\u6599\u593e ( ~\/cm512\/ ) \u25c6 Unit05\u55ae\u5143\u8cc7\u6599\u593e ( ~\/cm512\/05\u9032\u968e\u7e6a\u5716\u5957\u4ef6\/ ) \u7b2c\u4e94\u5468\u4f5c\u696d\uff1a Due: 2024\/03\/24 (\u65e5) 23:59 \u500b\u4eba\u4f5c\u696d\uff1a 1. \u56de\u7b54\u8ab2\u5802\u7b46\u8a18unit05A\/B\/C\u4e4b\u4e2d\u7684\u554f\u984c\uff0cknit\u597dHTML\u6a94\uff0c\u4ee5\u6a94\u540d”\u5b78\u865f_unit05A\/B\/C.html” \u4e0a\u50b3\u5230\u96f2\u7aef\u8cc7\u6599\u593e[ ~\/\u500b\u4eba\u4f5c\u696d\/05_ggplot\/ ] \u8ab2\u7a0b\u5f71\u7247\uff1a \u25c6 Week05 Video Recording \u53c3\u8003\u9023\u7d50\uff1a \u25c6\u00a0\u00a0Portal of Big Data BA Platform \u25c6\u00a0\u00a0R: Self Learning Roadmap \u25c6\u00a0 John Hopkins: R Programming online course \u25c6\u00a0\u00a0John Hopkins: R Programming eBook \u25c6\u00a0\u00a0Harvard: Data Science online course \u25c6\u00a0 Harvard: Data Science ebook<\/p>\n","protected":false},"author":2,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"_monsterinsights_skip_tracking":false,"_monsterinsights_sitenote_active":false,"_monsterinsights_sitenote_note":"","_monsterinsights_sitenote_category":0,"footnotes":""},"class_list":["post-5817","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/bap2.cm.nsysu.edu.tw\/index.php?rest_route=\/wp\/v2\/pages\/5817","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/bap2.cm.nsysu.edu.tw\/index.php?rest_route=\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/bap2.cm.nsysu.edu.tw\/index.php?rest_route=\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/bap2.cm.nsysu.edu.tw\/index.php?rest_route=\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/bap2.cm.nsysu.edu.tw\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=5817"}],"version-history":[{"count":1,"href":"https:\/\/bap2.cm.nsysu.edu.tw\/index.php?rest_route=\/wp\/v2\/pages\/5817\/revisions"}],"predecessor-version":[{"id":5818,"href":"https:\/\/bap2.cm.nsysu.edu.tw\/index.php?rest_route=\/wp\/v2\/pages\/5817\/revisions\/5818"}],"wp:attachment":[{"href":"https:\/\/bap2.cm.nsysu.edu.tw\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=5817"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}