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\u0628\u0627\u0644\u0625\u0646\u062a\u0631\u0646\u062a.<\/p>\n<\/li>\n<li>\n<p><strong>\u0627\u0644\u062a\u0648\u0627\u0641\u0642:<\/strong> \u0642\u062f \u064a\u0648\u0627\u062c\u0647 \u0627\u0644\u0645\u0633\u062a\u062e\u062f\u0645\u0648\u0646 \u0627\u0644\u0630\u064a\u0646 \u064a\u0639\u0645\u0644\u0648\u0646 \u0628\u0644\u063a\u0627\u062a \u0628\u0631\u0645\u062c\u0629 \u0645\u062e\u062a\u0644\u0641\u0629 \u0645\u0634\u0643\u0644\u0627\u062a \u0641\u064a \u0627\u0644\u062a\u0648\u0627\u0641\u0642. \u064a\u0645\u0643\u0646 \u0623\u0646 \u064a\u0633\u0627\u0639\u062f \u0627\u0633\u062a\u062e\u062f\u0627\u0645 \u0648\u062b\u0627\u0626\u0642 Plotly \u0627\u0644\u0634\u0627\u0645\u0644\u0629 \u0648\u062f\u0639\u0645 \u0627\u0644\u0645\u062c\u062a\u0645\u0639 \u0641\u064a \u062d\u0644 \u0647\u0630\u0647 \u0627\u0644\u062a\u062d\u062f\u064a\u0627\u062a.<\/p>\n<\/li>\n<li>\n<p><strong>\u0645\u062e\u0627\u0648\u0641 \u0623\u0645\u0646\u064a\u0629:<\/strong> \u0642\u062f \u064a\u0624\u062f\u064a \u062a\u062e\u0632\u064a\u0646 \u0627\u0644\u0628\u064a\u0627\u0646\u0627\u062a \u0627\u0644\u062d\u0633\u0627\u0633\u0629 \u0639\u0644\u0649 \u0627\u0644\u0633\u062d\u0627\u0628\u0629 \u0625\u0644\u0649 \u0625\u062b\u0627\u0631\u0629 \u0645\u062e\u0627\u0648\u0641 \u0623\u0645\u0646\u064a\u0629. \u064a\u0645\u0643\u0646 \u0623\u0646 \u064a\u0624\u062f\u064a \u0627\u0633\u062a\u062e\u062f\u0627\u0645 \u062d\u0644 Plotly \u0627\u0644\u0645\u062d\u0644\u064a \u0623\u0648 \u0625\u062e\u0641\u0627\u0621 \u0647\u0648\u064a\u0629 \u0627\u0644\u0628\u064a\u0627\u0646\u0627\u062a \u0642\u0628\u0644 \u0627\u0644\u062a\u062d\u0645\u064a\u0644 \u0625\u0644\u0649 \u0645\u0639\u0627\u0644\u062c\u0629 \u0647\u0630\u0647 \u0627\u0644\u0645\u0634\u0643\u0644\u0627\u062a.<\/p>\n<\/li>\n<\/ol>\n<h2>\u0627\u0644\u062e\u0635\u0627\u0626\u0635 \u0627\u0644\u0631\u0626\u064a\u0633\u064a\u0629 \u0648\u0627\u0644\u0645\u0642\u0627\u0631\u0646\u0627\u062a \u0645\u0639 \u0627\u0644\u0645\u0635\u0637\u0644\u062d\u0627\u062a \u0627\u0644\u0645\u0645\u0627\u062b\u0644\u0629<\/h2>\n<table>\n<thead>\n<tr>\n<th>\u0635\u0641\u0629 \u0645\u0645\u064a\u0632\u0629<\/th>\n<th>\u0645\u0624\u0627\u0645\u0631\u0629<\/th>\n<th>\u0645\u0627\u062a\u0628\u0644\u0648\u062a\u0644\u064a\u0628<\/th>\n<th>ggplot2 (ggplot)<\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr>\n<td>\u0627\u0644\u062a\u0641\u0627\u0639\u0644<\/td>\n<td>\u0639\u0627\u0644\u064a<\/td>\n<td>\u0642\u0644\u064a\u0644<\/td>\n<td>\u0642\u0644\u064a\u0644<\/td>\n<\/tr>\n<tr>\n<td>\u0633\u0647\u0648\u0644\u0629 \u0627\u0644\u0627\u0633\u062a\u0639\u0645\u0627\u0644<\/td>\n<td>\u0645\u0639\u062a\u062f\u0644<\/td>\n<td>\u0639\u0627\u0644\u064a<\/td>\n<td>\u0645\u0639\u062a\u062f\u0644<\/td>\n<\/tr>\n<tr>\n<td>\u0644\u063a\u0627\u062a \u0627\u0644\u0628\u0631\u0645\u062c\u0629<\/td>\n<td>\u0628\u0627\u064a\u062b\u0648\u0646\u060c \u0622\u0631\u060c \u062c\u0627\u0641\u0627 \u0633\u0643\u0631\u064a\u0628\u062a<\/td>\n<td>\u0628\u0627\u064a\u062b\u0648\u0646<\/td>\n<td>\u0631<\/td>\n<\/tr>\n<tr>\n<td>\u062e\u064a\u0627\u0631\u0627\u062a \u0627\u0644\u062a\u062e\u0635\u064a\u0635<\/td>\n<td>\u0634\u0627\u0633\u0650\u0639<\/td>\n<td>\u0645\u0639\u062a\u062f\u0644<\/td>\n<td>\u0634\u0627\u0633\u0650\u0639<\/td>\n<\/tr>\n<tr>\n<td>\u0627\u0644\u062a\u0639\u0627\u0648\u0646 \u0639\u0628\u0631 \u0627\u0644\u0625\u0646\u062a\u0631\u0646\u062a<\/td>\n<td>\u0646\u0639\u0645<\/td>\n<td>\u0644\u0627<\/td>\n<td>\u0644\u0627<\/td>\n<\/tr>\n<tr>\n<td>\u062a\u0646\u0633\u064a\u0642\u0627\u062a \u0627\u0644\u062a\u0635\u062f\u064a\u0631<\/td>\n<td>\u0645\u062a\u0646\u0648\u0639 (PNG\u060c PDF\u060c SVG)<\/td>\n<td>\u0645\u062d\u062f\u0648\u062f\u0629 (PNG\u060c PDF)<\/td>\n<td>\u0645\u062d\u062f\u0648\u062f\u0629 (PNG\u060c PDF)<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<h2>\u0648\u062c\u0647\u0627\u062a \u0627\u0644\u0646\u0638\u0631 \u0648\u0627\u0644\u062a\u0642\u0646\u064a\u0627\u062a \u0627\u0644\u0645\u0633\u062a\u0642\u0628\u0644\u064a\u0629 \u0627\u0644\u0645\u062a\u0639\u0644\u0642\u0629 \u0628\u0640 Plotly<\/h2>\n<p>\u0645\u0639 \u0627\u0633\u062a\u0645\u0631\u0627\u0631 \u0627\u0643\u062a\u0633\u0627\u0628 \u062a\u0635\u0648\u0631 \u0627\u0644\u0628\u064a\u0627\u0646\u0627\u062a \u0623\u0647\u0645\u064a\u0629 \u0641\u064a \u0645\u062e\u062a\u0644\u0641 \u0627\u0644\u0645\u062c\u0627\u0644\u0627\u062a\u060c \u0645\u0646 \u0627\u0644\u0645\u062a\u0648\u0642\u0639 \u0623\u0646 \u062a\u0638\u0644 Plotly \u0641\u064a \u0637\u0644\u064a\u0639\u0629 \u0647\u0630\u0627 \u0627\u0644\u0645\u0634\u0647\u062f \u0627\u0644\u0645\u062a\u0637\u0648\u0631. \u064a\u0636\u0645\u0646 \u0627\u0644\u062a\u0632\u0627\u0645 \u0627\u0644\u0645\u0637\u0648\u0631\u064a\u0646 \u0628\u0627\u0644\u062a\u062d\u0633\u064a\u0646\u0627\u062a \u0648\u0627\u0644\u062a\u062d\u062f\u064a\u062b\u0627\u062a \u0627\u0644\u0645\u0633\u062a\u0645\u0631\u0629 \u0623\u0646 \u064a\u062a\u0643\u064a\u0641 Plotly \u0645\u0639 \u0627\u0644\u062a\u0642\u0646\u064a\u0627\u062a \u0627\u0644\u0646\u0627\u0634\u0626\u0629 \u0648\u0645\u062a\u0637\u0644\u0628\u0627\u062a \u0627\u0644\u0645\u0633\u062a\u062e\u062f\u0645.<\/p>\n<p>\u0642\u062f \u062a\u062a\u0636\u0645\u0646 \u0627\u0644\u062a\u0642\u0646\u064a\u0627\u062a \u0627\u0644\u0645\u0633\u062a\u0642\u0628\u0644\u064a\u0629 \u0627\u0644\u0645\u062d\u062a\u0645\u0644\u0629 \u0627\u0644\u0645\u062a\u0639\u0644\u0642\u0629 \u0628\u0640 Plotly \u062a\u0643\u0627\u0645\u0644\u064b\u0627 \u0645\u062d\u0633\u0646\u064b\u0627 \u0644\u0644\u062a\u0639\u0644\u0645 \u0627\u0644\u0622\u0644\u064a \u0644\u0644\u0631\u0624\u0649 \u0627\u0644\u0622\u0644\u064a\u0629\u060c \u0648\u062a\u0635\u0648\u0631 \u0627\u0644\u0648\u0627\u0642\u0639 \u0627\u0644\u0645\u0639\u0632\u0632\u060c \u0648\u0645\u0632\u064a\u062f\u064b\u0627 \u0645\u0646 \u0627\u0644\u062a\u062d\u0633\u064a\u0646 \u0644\u0644\u0623\u062c\u0647\u0632\u0629 \u0627\u0644\u0645\u062d\u0645\u0648\u0644\u0629.<\/p>\n<h2>\u0643\u064a\u0641 \u064a\u0645\u0643\u0646 \u0627\u0633\u062a\u062e\u062f\u0627\u0645 \u0627\u0644\u062e\u0648\u0627\u062f\u0645 \u0627\u0644\u0648\u0643\u064a\u0644\u0629 \u0623\u0648 \u0631\u0628\u0637\u0647\u0627 \u0628\u0640 Plotly<\/h2>\n<p>\u064a\u0645\u0643\u0646 \u0644\u0644\u062e\u0648\u0627\u062f\u0645 \u0627\u0644\u0648\u0643\u064a\u0644\u0629\u060c \u0645\u062b\u0644 \u062a\u0644\u0643 \u0627\u0644\u062a\u064a \u064a\u0648\u0641\u0631\u0647\u0627 OneProxy (oneproxy.pro)\u060c \u062a\u062d\u0633\u064a\u0646 \u0648\u0638\u0627\u0626\u0641 Plotly \u0628\u0639\u062f\u0629 \u0637\u0631\u0642:<\/p>\n<ol>\n<li>\n<p><strong>\u0627\u0644\u0648\u0635\u0648\u0644 \u0625\u0644\u0649 \u0627\u0644\u0628\u064a\u0627\u0646\u0627\u062a \u0648\u0627\u0644\u062e\u0635\u0648\u0635\u064a\u0629:<\/strong> \u064a\u0645\u0643\u0646 \u0644\u0644\u062e\u0648\u0627\u062f\u0645 \u0627\u0644\u0648\u0643\u064a\u0644\u0629 \u0623\u0646 \u062a\u0633\u0645\u062d \u0644\u0640 Plotly \u0628\u0627\u0644\u0648\u0635\u0648\u0644 \u0625\u0644\u0649 \u0627\u0644\u0628\u064a\u0627\u0646\u0627\u062a \u0645\u0646 \u0645\u0635\u0627\u062f\u0631 \u0645\u0642\u064a\u062f\u0629 \u0623\u0648 \u0645\u062d\u0638\u0648\u0631\u0629 \u062c\u063a\u0631\u0627\u0641\u064a\u064b\u0627\u060c \u0645\u0645\u0627 \u064a\u0639\u0632\u0632 \u062a\u0646\u0648\u0639 \u0627\u0644\u0628\u064a\u0627\u0646\u0627\u062a.<\/p>\n<\/li>\n<li>\n<p><strong>\u0623\u062f\u0627\u0621:<\/strong> \u064a\u0645\u0643\u0646 \u0644\u0644\u062e\u0648\u0627\u062f\u0645 \u0627\u0644\u0648\u0643\u064a\u0644\u0629 \u062a\u062d\u0633\u064a\u0646 \u0623\u062f\u0627\u0621 Plotly \u0639\u0646 \u0637\u0631\u064a\u0642 \u062a\u0642\u0644\u064a\u0644 \u0632\u0645\u0646 \u0627\u0644\u0648\u0635\u0648\u0644 \u0648\u062a\u0648\u0641\u064a\u0631 \u0627\u0633\u062a\u0631\u062c\u0627\u0639 \u0623\u0633\u0631\u0639 \u0644\u0644\u0628\u064a\u0627\u0646\u0627\u062a.<\/p>\n<\/li>\n<li>\n<p><strong>\u0639\u062f\u0645 \u0627\u0644\u0643\u0634\u0641 \u0639\u0646 \u0647\u0648\u064a\u062a\u0647:<\/strong> \u064a\u0645\u0643\u0646 \u0644\u0644\u062e\u0648\u0627\u062f\u0645 \u0627\u0644\u0648\u0643\u064a\u0644\u0629 \u0625\u062e\u0641\u0627\u0621 \u0647\u0648\u064a\u0629 \u0639\u0646\u0627\u0648\u064a\u0646 IP \u0627\u0644\u062e\u0627\u0635\u0629 \u0628\u0627\u0644\u0645\u0633\u062a\u062e\u062f\u0645\u064a\u0646\u060c \u0645\u0645\u0627 \u064a\u0636\u0645\u0646 \u062e\u0635\u0648\u0635\u064a\u062a\u0647\u0645 \u0648\u0623\u0645\u0646 \u0628\u064a\u0627\u0646\u0627\u062a\u0647\u0645 \u0623\u062b\u0646\u0627\u0621 \u0627\u0633\u062a\u062e\u062f\u0627\u0645 Plotly \u0639\u0628\u0631 \u0627\u0644\u0625\u0646\u062a\u0631\u0646\u062a.<\/p>\n<\/li>\n<\/ol>\n<h2>\u0631\u0648\u0627\u0628\u0637 \u0630\u0627\u062a \u0639\u0644\u0627\u0642\u0629<\/h2>\n<p>\u0644\u0645\u0632\u064a\u062f \u0645\u0646 \u0627\u0644\u0645\u0639\u0644\u0648\u0645\u0627\u062a \u062d\u0648\u0644 Plotly\u060c \u0641\u0643\u0631 \u0641\u064a \u0627\u0633\u062a\u0643\u0634\u0627\u0641 \u0627\u0644\u0645\u0648\u0627\u0631\u062f \u0627\u0644\u062a\u0627\u0644\u064a\u0629:<\/p>\n<ol>\n<li><a href=\"https:\/\/plotly.com\/\" target=\"_new\" rel=\"noopener nofollow\">\u0627\u0644\u0645\u0648\u0642\u0639 \u0627\u0644\u0631\u0633\u0645\u064a \u0628\u0644\u0648\u062a\u0644\u064a<\/a><\/li>\n<li><a href=\"https:\/\/plotly.com\/python\/\" target=\"_new\" rel=\"noopener nofollow\">\u062a\u0648\u062b\u064a\u0642 \u0645\u0624\u0627\u0645\u0631\u0629<\/a><\/li>\n<li><a href=\"https:\/\/github.com\/plotly\/plotly.py\" target=\"_new\" rel=\"noopener nofollow\">\u0645\u0633\u062a\u0648\u062f\u0639 \u0628\u0644\u0648\u062a\u0644\u064a \u062c\u064a\u062b\u0628<\/a><\/li>\n<\/ol>\n<p>\u0641\u064a \u0627\u0644\u062e\u062a\u0627\u0645\u060c \u062a\u0639\u062f Plotly \u0623\u062f\u0627\u0629 \u0642\u0648\u064a\u0629 \u0648\u0645\u062a\u0639\u062f\u062f\u0629 \u0627\u0644\u0627\u0633\u062a\u062e\u062f\u0627\u0645\u0627\u062a \u0644\u062a\u0635\u0648\u0631 \u0627\u0644\u0628\u064a\u0627\u0646\u0627\u062a \u062a\u0645\u0643\u0646 \u0627\u0644\u0645\u0633\u062a\u062e\u062f\u0645\u064a\u0646 \u0645\u0646 \u0625\u0646\u0634\u0627\u0621 \u062a\u0635\u0648\u0631\u0627\u062a \u062a\u0641\u0627\u0639\u0644\u064a\u0629 \u0648\u0645\u0641\u064a\u062f\u0629. \u0628\u0641\u0636\u0644 \u062a\u0637\u0648\u0631\u0647\u0627 \u0627\u0644\u0645\u0633\u062a\u0645\u0631 \u0648\u062a\u0648\u0627\u0641\u0642\u0647\u0627 \u0645\u0639 \u0644\u063a\u0627\u062a \u0627\u0644\u0628\u0631\u0645\u062c\u0629 \u0627\u0644\u0645\u062e\u062a\u0644\u0641\u0629\u060c \u062a\u0648\u0627\u0635\u0644 Plotly \u0644\u0639\u0628 \u062f\u0648\u0631 \u0645\u062d\u0648\u0631\u064a \u0641\u064a \u0639\u0645\u0644\u064a\u0629 \u0635\u0646\u0639 \u0627\u0644\u0642\u0631\u0627\u0631 \u0627\u0644\u0645\u0633\u062a\u0646\u062f\u0629 \u0625\u0644\u0649 \u0627\u0644\u0628\u064a\u0627\u0646\u0627\u062a \u0639\u0628\u0631 \u0627\u0644\u0635\u0646\u0627\u0639\u0627\u062a \u0627\u0644\u0645\u062a\u0646\u0648\u0639\u0629. \u0648\u0645\u0646 \u062e\u0644\u0627\u0644 \u0627\u0644\u0627\u0633\u062a\u0641\u0627\u062f\u0629 \u0645\u0646 \u0627\u0644\u062e\u0648\u0627\u062f\u0645 \u0627\u0644\u0648\u0643\u064a\u0644\u0629\u060c \u064a\u0645\u0643\u0646 \u0644\u0644\u0645\u0633\u062a\u062e\u062f\u0645\u064a\u0646 \u062a\u0639\u0632\u064a\u0632 \u0642\u062f\u0631\u0627\u062a Plotly \u0628\u0634\u0643\u0644 \u0623\u0643\u0628\u0631\u060c \u0645\u0645\u0627 \u064a\u0636\u0645\u0646 \u062a\u062c\u0627\u0631\u0628 \u062a\u0635\u0648\u0631\u064a\u0629 \u0633\u0644\u0633\u0629 \u0648\u0622\u0645\u0646\u0629 \u0644\u0644\u0628\u064a\u0627\u0646\u0627\u062a.<\/p>","protected":false},"featured_media":469177,"menu_order":0,"template":"","meta":{"_acf_changed":false,"content-type":"","inline_featured_image":false,"footnotes":""},"class_list":["post-478452","wiki","type-wiki","status-publish","has-post-thumbnail","hentry"],"acf":{"faq_title":"Frequently Asked Questions about <mark>Plotly: A Comprehensive Guide<\/mark>","faq_items":[{"question":"What is Plotly, and what can it do?","answer":"<p>Plotly is a powerful data visualization library used to create interactive and visually engaging plots, charts, and graphs. It allows users to explore data patterns, communicate insights effectively, and build interactive dashboards. Plotly supports various programming languages like Python, R, and JavaScript, making it a versatile choice for data professionals.<\/p>"},{"question":"Who founded Plotly, and when was it launched?","answer":"<p>Plotly was founded in 2012 by Alex Johnson, Jack Parmer, and Chris Parmer. The official launch of the Plotly web app occurred in the same year, introducing users to a platform for creating, sharing, and collaborating on visualizations.<\/p>"},{"question":"How does Plotly work internally?","answer":"<p>Plotly operates on a client-server architecture. When users create plots using the Plotly library, their code communicates with Plotly's servers, where the visualization is processed and generated. The resulting output is sent back to the user's interface for display, enabling seamless and interactive visualizations.<\/p>"},{"question":"What are the key features of Plotly?","answer":"<p>Plotly's key features include high interactivity, diverse plot types (scatter plots, bar charts, line graphs, heatmaps, etc.), offline mode for creating plots without internet access, extensive customization options, and support for exporting plots in various formats (PNG, PDF, SVG, and interactive HTML).<\/p>"},{"question":"What types of plots can be created using Plotly?","answer":"<p>Plotly supports a wide range of plot types, including scatter plots, bar charts, line graphs, heatmaps, pie charts, and box plots. Each plot type serves specific purposes, such as displaying relationships, comparing categories, and visualizing distributions.<\/p>"},{"question":"How can I use Plotly, and what problems might I encounter?","answer":"<p>Plotly can be used for data exploration, communication, and dashboard creation. Users may face performance issues with complex visualizations, but optimizing code and reducing data size can help. Compatibility with different programming languages can also be addressed by referring to Plotly's documentation and community support.<\/p>"},{"question":"How does Plotly compare to other visualization libraries like Matplotlib and ggplot2?","answer":"<p>Plotly stands out with its high interactivity and extensive customization options compared to Matplotlib and ggplot2. While Matplotlib is easier to use, Plotly offers broader language support and online collaboration features. On the other hand, ggplot2, designed for R, provides comparable customization but lacks interactivity and online collaboration.<\/p>"},{"question":"What are the future perspectives and technologies related to Plotly?","answer":"<p>As data visualization continues to evolve, Plotly is expected to remain at the forefront. Future technologies might include better machine learning integration, augmented reality visualization, and optimization for mobile devices.<\/p>"},{"question":"How can proxy servers be associated with Plotly, and what benefits do they offer?","answer":"<p>Proxy servers, like OneProxy, can enhance Plotly's functionality by providing access to restricted data sources, improving performance, and ensuring users' data privacy and security. Proxies can also anonymize users' IP addresses, ensuring a safe and seamless data visualization experience.<\/p>"}]},"_links":{"self":[{"href":"https:\/\/oneproxy.pro\/ar\/wp-json\/wp\/v2\/wiki\/478452","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/oneproxy.pro\/ar\/wp-json\/wp\/v2\/wiki"}],"about":[{"href":"https:\/\/oneproxy.pro\/ar\/wp-json\/wp\/v2\/types\/wiki"}],"version-history":[{"count":0,"href":"https:\/\/oneproxy.pro\/ar\/wp-json\/wp\/v2\/wiki\/478452\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/oneproxy.pro\/ar\/wp-json\/wp\/v2\/media\/469177"}],"wp:attachment":[{"href":"https:\/\/oneproxy.pro\/ar\/wp-json\/wp\/v2\/media?parent=478452"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}