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<\/BR><\/p>\n","protected":false},"excerpt":{"rendered":"Creating a Data Pipeline to Monitor Local Crime\u00a0Trends A walkthough of creating an ETL pipeline to extract local crime data and visualize it in Metabase. The post Creating a Data Pipeline to Monitor Local Crime\u00a0Trends appeared first on Towards Data Science. Jimin Kang Go to original source<\/p>\n","protected":false},"author":2,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[62,2854,3096,401,83,67,3014],"tags":[1054,84,3761],"class_list":["post-10223","post","type-post","status-publish","format-standard","hentry","category-aimldsaimlds","category-data-pipeline","category-data-visualisation","category-data-engineering","category-data-science","category-deep-dives","category-etl","tag-creating","tag-data","tag-pipeline"],"_links":{"self":[{"href":"https:\/\/mailitics.com\/index.php\/wp-json\/wp\/v2\/posts\/10223"}],"collection":[{"href":"https:\/\/mailitics.com\/index.php\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/mailitics.com\/index.php\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/mailitics.com\/index.php\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/mailitics.com\/index.php\/wp-json\/wp\/v2\/comments?post=10223"}],"version-history":[{"count":0,"href":"https:\/\/mailitics.com\/index.php\/wp-json\/wp\/v2\/posts\/10223\/revisions"}],"wp:attachment":[{"href":"https:\/\/mailitics.com\/index.php\/wp-json\/wp\/v2\/media?parent=10223"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/mailitics.com\/index.php\/wp-json\/wp\/v2\/categories?post=10223"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/mailitics.com\/index.php\/wp-json\/wp\/v2\/tags?post=10223"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}