{"id":171800,"date":"2023-10-09T11:18:22","date_gmt":"2023-10-09T10:18:22","guid":{"rendered":"https:\/\/datascientest.com\/en\/?p=171800"},"modified":"2023-10-09T11:19:17","modified_gmt":"2023-10-09T10:19:17","slug":"seaborn-everything-you-need-to-know-about-the-python-data-visualization-tool","status":"publish","type":"post","link":"https:\/\/datascientest.com\/en\/seaborn-everything-you-need-to-know-about-the-python-data-visualization-tool","title":{"rendered":"Seaborn: Everything you need to know about the Python data visualization tool"},"content":{"rendered":"\t\t<div data-elementor-type=\"wp-post\" data-elementor-id=\"171800\" class=\"elementor elementor-171800\" data-elementor-post-type=\"post\">\n\t\t\t\t\t\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-44d20f0f elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"44d20f0f\" data-element_type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-a4ca2fc\" data-id=\"a4ca2fc\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t\t\t<div class=\"elementor-element elementor-element-1acff99c elementor-widget elementor-widget-heading\" data-id=\"1acff99c\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<style>\/*! elementor - v3.15.0 - 02-08-2023 *\/\n.elementor-heading-title{padding:0;margin:0;line-height:1}.elementor-widget-heading .elementor-heading-title[class*=elementor-size-]>a{color:inherit;font-size:inherit;line-height:inherit}.elementor-widget-heading .elementor-heading-title.elementor-size-small{font-size:15px}.elementor-widget-heading .elementor-heading-title.elementor-size-medium{font-size:19px}.elementor-widget-heading .elementor-heading-title.elementor-size-large{font-size:29px}.elementor-widget-heading .elementor-heading-title.elementor-size-xl{font-size:39px}.elementor-widget-heading .elementor-heading-title.elementor-size-xxl{font-size:59px}<\/style><h2 class=\"elementor-heading-title elementor-size-default\">Seaborn is a Python Data Visualization tool. Discover everything you need to know: presentation, use cases, benefits, training...<\/h2>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-4f06a488 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"4f06a488\" data-element_type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-4a5be8d9\" data-id=\"4a5be8d9\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t\t\t<div class=\"elementor-element elementor-element-17d979d5 elementor-widget elementor-widget-text-editor\" data-id=\"17d979d5\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<style>\/*! elementor - v3.15.0 - 02-08-2023 *\/\n.elementor-widget-text-editor.elementor-drop-cap-view-stacked .elementor-drop-cap{background-color:#69727d;color:#fff}.elementor-widget-text-editor.elementor-drop-cap-view-framed .elementor-drop-cap{color:#69727d;border:3px solid;background-color:transparent}.elementor-widget-text-editor:not(.elementor-drop-cap-view-default) .elementor-drop-cap{margin-top:8px}.elementor-widget-text-editor:not(.elementor-drop-cap-view-default) .elementor-drop-cap-letter{width:1em;height:1em}.elementor-widget-text-editor .elementor-drop-cap{float:left;text-align:center;line-height:1;font-size:50px}.elementor-widget-text-editor .elementor-drop-cap-letter{display:inline-block}<\/style>\t\t\t\t<p>Data Visualization is a technique that allows Data Scientists to transform raw data into graphs and diagrams. Such illustrations make it easier to read and understand data, which is <a href=\"https:\/\/datascientest.com\/en\/dataviz-definition-objectives-and-uses\">why DataViz is very useful.<\/a><\/p><p>There are many &#8220;no-code&#8221; tools for creating data visualizations, such as <a href=\"https:\/\/datascientest.com\/en\/what-is-tableau\">Tableau,<\/a> <a href=\"https:\/\/datascientest.com\/en\/excel-to-power-bi-how-to-transform-a-pivot-table-in-excel-into-a-dataset-that-can-be-used-by-power-bi\">Power BI,<\/a> ChartBlocks&#8230; However, as an alternative, it&#8217;s also possible to choose the Python language.<\/p><p>This requires programming skills but offers complete freedom. By using Python, you can manipulate, transform, and create data visualizations. <a href=\"https:\/\/datascientest.com\/en\/test-annika-data-analyst\">Many Data Scientists are turning to this solution.<\/a><\/p><p>One of the reasons Python is the best choice for Data Science is its extensive library ecosystem.<\/p><p>Many Python libraries allow data manipulation: numpy, <a href=\"https:\/\/datascientest.com\/en\/pandas-the-python-library\">pandas<\/a>, matplotlib, <a href=\"https:\/\/datascientest.com\/en\/tensorflow-course-where-to-learn-how-to-use-the-framework\">tensorflow&#8230;<\/a><\/p><p>While Matplotlib is very popular for creating data visualizations, it can be complex to use. Developers have created a new library based on Matplotlib: Seaborn.<\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-277ea329 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"277ea329\" data-element_type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-7c7533b\" data-id=\"7c7533b\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t\t\t<div class=\"elementor-element elementor-element-4ed1cae5 elementor-widget elementor-widget-heading\" data-id=\"4ed1cae5\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<h3 class=\"elementor-heading-title elementor-size-default\">What is Seaborn ?<\/h3>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-16eda21c elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"16eda21c\" data-element_type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-f148aa\" data-id=\"f148aa\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t\t\t<div class=\"elementor-element elementor-element-77eef565 elementor-widget elementor-widget-text-editor\" data-id=\"77eef565\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<p>Seaborn is a library for creating statistical graphics in Python. It is based on Matplotlib and integrates with Pandas data structures.<\/p><p>This <a href=\"https:\/\/datascientest.com\/en\/matplotlib-master-data-visualization-in-python\">library is as powerful as Matplotlib<\/a> but brings simplicity and unique features. It allows for quick data exploration and understanding.<\/p><p>Complete data frames can be captured, and internal functions for semantic mapping and statistical aggregation allow you to convert data <strong>into graphical visualizations.<\/strong><\/p><p>Seaborn abstracts away all the complexity of Matplotlib. However, it is still possible to create graphics that meet all your needs and requirements.<\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-5a0c4b68 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"5a0c4b68\" data-element_type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-3cb830c4\" data-id=\"3cb830c4\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t\t\t<div class=\"elementor-element elementor-element-7e87fab6 elementor-align-center button-principale elementor-widget elementor-widget-button\" data-id=\"7e87fab6\" data-element_type=\"widget\" data-widget_type=\"button.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<div class=\"elementor-button-wrapper\">\n\t\t\t<a class=\"elementor-button elementor-button-link elementor-size-sm elementor-animation-grow\" href=\"https:\/\/datascientest.com\/en\/data-courses\">\n\t\t\t\t\t\t<span class=\"elementor-button-content-wrapper\">\n\t\t\t\t\t\t<span class=\"elementor-button-text\">Learn to use Seaborn<\/span>\n\t\t<\/span>\n\t\t\t\t\t<\/a>\n\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-1718c9c4 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"1718c9c4\" data-element_type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-153c6cff\" data-id=\"153c6cff\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t\t\t<div class=\"elementor-element elementor-element-2f534656 elementor-widget elementor-widget-heading\" data-id=\"2f534656\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<h3 class=\"elementor-heading-title elementor-size-default\">Seaborn and different types of Dataviz<\/h3>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-16b7440b elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"16b7440b\" data-element_type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-2db07224\" data-id=\"2db07224\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t\t\t<div class=\"elementor-element elementor-element-528dea01 elementor-widget elementor-widget-text-editor\" data-id=\"528dea01\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<p><strong>Seaborn<\/strong> provides various default styles and color palettes to create more attractive graphics. Different types of visualizations help highlight relationships between data.<\/p><p>These can involve numerical variables or groups, classes, divisions.<\/p><p>Relational plots are used to understand the relationships between two variables, while categorical <strong>plots visualize variables categorized by category.<\/strong><\/p><p>Distribution plots are used to examine univariate or bivariate distributions. Regression plots add a visual guide to highlight patterns in a dataset for exploratory analysis.<\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-6a070379 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"6a070379\" data-element_type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-325041a0\" data-id=\"325041a0\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t\t\t<div class=\"elementor-element elementor-element-1289a2bd elementor-widget elementor-widget-image\" data-id=\"1289a2bd\" data-element_type=\"widget\" data-widget_type=\"image.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<style>\/*! elementor - v3.15.0 - 02-08-2023 *\/\n.elementor-widget-image{text-align:center}.elementor-widget-image a{display:inline-block}.elementor-widget-image a img[src$=\".svg\"]{width:48px}.elementor-widget-image img{vertical-align:middle;display:inline-block}<\/style>\t\t\t\t\t\t\t\t\t<figure class=\"wp-caption\">\n\t\t\t\t\t\t\t\t\t\t<img decoding=\"async\" width=\"800\" height=\"370\" src=\"https:\/\/datascientest.com\/en\/files\/2023\/10\/seaborn-graphique.png\" class=\"attachment-large size-large wp-image-171803\" alt=\"\" srcset=\"https:\/\/datascientest.com\/en\/files\/2023\/10\/seaborn-graphique.png 960w, https:\/\/datascientest.com\/en\/files\/2023\/10\/seaborn-graphique-300x139.png 300w, https:\/\/datascientest.com\/en\/files\/2023\/10\/seaborn-graphique-768x355.png 768w\" sizes=\"(max-width: 800px) 100vw, 800px\" \/>\t\t\t\t\t\t\t\t\t\t\t<figcaption class=\"widget-image-caption wp-caption-text\"><\/figcaption>\n\t\t\t\t\t\t\t\t\t\t<\/figure>\n\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-5432aa63 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"5432aa63\" data-element_type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-49d1ce70\" data-id=\"49d1ce70\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t\t\t<div class=\"elementor-element elementor-element-3f05743e elementor-widget elementor-widget-heading\" data-id=\"3f05743e\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<h3 class=\"elementor-heading-title elementor-size-default\">What are the advantages of Seaborn?<\/h3>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-318dcb26 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"318dcb26\" data-element_type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-4016bd14\" data-id=\"4016bd14\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t\t\t<div class=\"elementor-element elementor-element-49984849 elementor-widget elementor-widget-text-editor\" data-id=\"49984849\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<p>The Seaborn library <strong>offers several major advantages.<\/strong> It provides various types of visualizations. Its syntax is concise, and it offers very attractive default themes.<\/p><p>It&#8217;s an ideal tool for <strong>statistical visualization.<\/strong> It is used to summarize data in visualizations and data distribution.<\/p><p>Furthermore, Seaborn is better integrated than Matplotlib for working with Pandas data frames. Finally, it is an extension of Matplotlib to create beautiful graphics using Python through a set of more direct methods.<\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-336c6e19 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"336c6e19\" data-element_type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-56b579c2\" data-id=\"56b579c2\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t\t\t<div class=\"elementor-element elementor-element-1de3833d elementor-widget elementor-widget-heading\" data-id=\"1de3833d\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<h3 class=\"elementor-heading-title elementor-size-default\">Seaborn vs Matplotlib: which one to use?<\/h3>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-667ddbbf elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"667ddbbf\" data-element_type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-a011a6c\" data-id=\"a011a6c\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t\t\t<div class=\"elementor-element elementor-element-524074a6 elementor-widget elementor-widget-text-editor\" data-id=\"524074a6\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<p>Matplotlib and Seaborn are the two most <a href=\"https:\/\/datascientest.com\/en\/python-all-you-need-to-know\">popular Python tools for Data Visualization.<\/a> Each has its advantages and disadvantages.<\/p><p>Matplotlib is primarily used for basic chart plotting, while Seaborn offers many default themes and a wide variety of schemes for statistical visualization.<\/p><p>Additionally, Seaborn automates the creation of multiple figures. This is an advantage, even though it can lead to memory usage issues.<\/p><p>Another strength of Seaborn is its enhanced integration with Pandas and its Data Frames, although Matplotlib is also integrated with Pandas and NumPy.<\/p><p>On the other hand, <strong>Matplotlib<\/strong> offers increased flexibility in terms of customization and sometimes better performance. Therefore, it may be a better option in certain situations.<\/p><p>In general, Seaborn is the better choice for statistical data visualization, while Matplotlib is more suitable for customization needs.<\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-4d60ae96 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"4d60ae96\" data-element_type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-1697d90c\" data-id=\"1697d90c\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t\t\t<div class=\"elementor-element elementor-element-4c1ac091 elementor-widget elementor-widget-image\" data-id=\"4c1ac091\" data-element_type=\"widget\" data-widget_type=\"image.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t\t\t\t<figure class=\"wp-caption\">\n\t\t\t\t\t\t\t\t\t\t<img decoding=\"async\" width=\"583\" height=\"1024\" src=\"https:\/\/datascientest.com\/en\/files\/2023\/10\/Cheat-sheet-matplotlib-583x1024.png\" class=\"attachment-large size-large wp-image-171804\" alt=\"\" srcset=\"https:\/\/datascientest.com\/en\/files\/2023\/10\/Cheat-sheet-matplotlib-583x1024.png 583w, https:\/\/datascientest.com\/en\/files\/2023\/10\/Cheat-sheet-matplotlib-171x300.png 171w, https:\/\/datascientest.com\/en\/files\/2023\/10\/Cheat-sheet-matplotlib-768x1349.png 768w, https:\/\/datascientest.com\/en\/files\/2023\/10\/Cheat-sheet-matplotlib-875x1536.png 875w, https:\/\/datascientest.com\/en\/files\/2023\/10\/Cheat-sheet-matplotlib-1166x2048.png 1166w\" sizes=\"(max-width: 583px) 100vw, 583px\" \/>\t\t\t\t\t\t\t\t\t\t\t<figcaption class=\"widget-image-caption wp-caption-text\"><\/figcaption>\n\t\t\t\t\t\t\t\t\t\t<\/figure>\n\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-7c7287ee elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"7c7287ee\" data-element_type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-6dd1190d\" data-id=\"6dd1190d\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t\t\t<div class=\"elementor-element elementor-element-1d56fd39 elementor-widget elementor-widget-heading\" data-id=\"1d56fd39\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<h3 class=\"elementor-heading-title elementor-size-default\">Why and how to learn to use Seaborn? DataScientest training courses<\/h3>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-a76b51f elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"a76b51f\" data-element_type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-104845fd\" data-id=\"104845fd\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t\t\t<div class=\"elementor-element elementor-element-65b4ffc0 elementor-widget elementor-widget-video\" data-id=\"65b4ffc0\" data-element_type=\"widget\" data-settings=\"{&quot;youtube_url&quot;:&quot;https:\\\/\\\/youtu.be\\\/kNPe_pgbuHg&quot;,&quot;video_type&quot;:&quot;youtube&quot;,&quot;controls&quot;:&quot;yes&quot;}\" data-widget_type=\"video.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<style>\/*! elementor - v3.15.0 - 02-08-2023 *\/\n.elementor-widget-video .elementor-widget-container{overflow:hidden;transform:translateZ(0)}.elementor-widget-video .elementor-wrapper{aspect-ratio:var(--video-aspect-ratio)}.elementor-widget-video .elementor-wrapper iframe,.elementor-widget-video .elementor-wrapper video{height:100%;width:100%;display:flex;border:none;background-color:#000}@supports not (aspect-ratio:1\/1){.elementor-widget-video .elementor-wrapper{position:relative;overflow:hidden;height:0;padding-bottom:calc(100% \/ var(--video-aspect-ratio))}.elementor-widget-video .elementor-wrapper iframe,.elementor-widget-video .elementor-wrapper video{position:absolute;top:0;right:0;bottom:0;left:0}}.elementor-widget-video .elementor-open-inline .elementor-custom-embed-image-overlay{position:absolute;top:0;right:0;bottom:0;left:0;background-size:cover;background-position:50%}.elementor-widget-video .elementor-custom-embed-image-overlay{cursor:pointer;text-align:center}.elementor-widget-video .elementor-custom-embed-image-overlay:hover .elementor-custom-embed-play i{opacity:1}.elementor-widget-video .elementor-custom-embed-image-overlay img{display:block;width:100%;aspect-ratio:var(--video-aspect-ratio);-o-object-fit:cover;object-fit:cover;-o-object-position:center center;object-position:center center}@supports not (aspect-ratio:1\/1){.elementor-widget-video .elementor-custom-embed-image-overlay{position:relative;overflow:hidden;height:0;padding-bottom:calc(100% \/ var(--video-aspect-ratio))}.elementor-widget-video .elementor-custom-embed-image-overlay img{position:absolute;top:0;right:0;bottom:0;left:0}}.elementor-widget-video .e-hosted-video .elementor-video{-o-object-fit:cover;object-fit:cover}.e-con-inner>.elementor-widget-video,.e-con>.elementor-widget-video{width:var(--container-widget-width);--flex-grow:var(--container-widget-flex-grow)}<\/style>\t\t<div class=\"elementor-wrapper elementor-open-inline\">\n\t\t\t<div class=\"elementor-video\"><\/div>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-7cc2b0f5 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"7cc2b0f5\" data-element_type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-6375c8aa\" data-id=\"6375c8aa\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t\t\t<div class=\"elementor-element elementor-element-68a3c4a5 elementor-widget elementor-widget-text-editor\" data-id=\"68a3c4a5\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<p>Data visualization is widely used in all industries. Therefore, mastering a <strong>DataViz tool is a valuable and sought-after skill.<\/strong><\/p><p>DataScientest&#8217;s Data Science training programs allow you to acquire this mastery.<\/p><p>Both Matplotlib and Seaborn are part of the Data Visualization module in our Data Analyst, Data Scientist, and <a href=\"https:\/\/datascientest.com\/en\/data-management-course\">Data Management courses.<\/a><\/p><p>Through these programs, you can acquire all the skills required for careers as data analysts, managers, or scientists. In addition to DataViz, you will also learn programming, database handling, as well as Machine Learning and Deep Learning.<\/p><p>Our various training programs take an innovative and beneficial Blended Learning approach, combining in-person and distance learning. They can be done as part of Continuing Education or in a BootCamp format in just a few weeks.<\/p><p>At the end of the program, learners receive a diploma certified by the University of Sorbonne. Among the alumni, 93% found employment immediately after completing the training. Don&#8217;t wait any longer and discover our various training programs to learn how to use Seaborn and all the tools of Data Science!<\/p><p>\u00a0<\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-231440c8 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"231440c8\" data-element_type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-9e09896\" data-id=\"9e09896\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t\t\t<div class=\"elementor-element elementor-element-6931394b elementor-widget elementor-widget-image\" data-id=\"6931394b\" data-element_type=\"widget\" data-widget_type=\"image.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t\t\t\t<figure class=\"wp-caption\">\n\t\t\t\t\t\t\t\t\t\t<img decoding=\"async\" width=\"632\" height=\"1024\" src=\"https:\/\/datascientest.com\/en\/files\/2023\/10\/Cheat-sheet-Seaborn-632x1024.jpg\" class=\"attachment-large size-large wp-image-171805\" alt=\"\" srcset=\"https:\/\/datascientest.com\/en\/files\/2023\/10\/Cheat-sheet-Seaborn-632x1024.jpg 632w, https:\/\/datascientest.com\/en\/files\/2023\/10\/Cheat-sheet-Seaborn-185x300.jpg 185w, https:\/\/datascientest.com\/en\/files\/2023\/10\/Cheat-sheet-Seaborn-768x1245.jpg 768w, https:\/\/datascientest.com\/en\/files\/2023\/10\/Cheat-sheet-Seaborn-948x1536.jpg 948w, https:\/\/datascientest.com\/en\/files\/2023\/10\/Cheat-sheet-Seaborn.jpg 1251w\" sizes=\"(max-width: 632px) 100vw, 632px\" \/>\t\t\t\t\t\t\t\t\t\t\t<figcaption class=\"widget-image-caption wp-caption-text\"><\/figcaption>\n\t\t\t\t\t\t\t\t\t\t<\/figure>\n\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-5d03c928 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"5d03c928\" data-element_type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-525e2b5f\" data-id=\"525e2b5f\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t\t\t<div class=\"elementor-element elementor-element-6bb98afd elementor-align-center button-principale elementor-widget elementor-widget-button\" data-id=\"6bb98afd\" data-element_type=\"widget\" data-widget_type=\"button.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<div class=\"elementor-button-wrapper\">\n\t\t\t<a class=\"elementor-button elementor-button-link elementor-size-sm elementor-animation-grow\" href=\"https:\/\/datascientest.com\/en\/data-scientist-course#\">\n\t\t\t\t\t\t<span class=\"elementor-button-content-wrapper\">\n\t\t\t\t\t\t<span class=\"elementor-button-text\">Discover our Courses<\/span>\n\t\t<\/span>\n\t\t\t\t\t<\/a>\n\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-2e938a62 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"2e938a62\" data-element_type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-5ec9a05a\" data-id=\"5ec9a05a\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap\">\n\t\t\t\t\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t\t\t\t<\/div>\n\t\t","protected":false},"excerpt":{"rendered":"<p>Seaborn is a Python Data Visualization tool. Discover everything you need to know: presentation, use cases, benefits, training&#8230; Data Visualization is a technique that allows Data Scientists to transform raw data into graphs and diagrams. Such illustrations make it easier to read and understand data, which is why DataViz is very useful. There are many [&hellip;]<\/p>\n","protected":false},"author":67,"featured_media":171801,"comment_status":"open","ping_status":"open","sticky":false,"template":"elementor_theme","format":"standard","meta":{"content-type":"","inline_featured_image":false},"categories":[2425],"tags":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO Premium plugin v21.7 (Yoast SEO v21.7) - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>Seaborn: Everything you need to know about the Python data visualization tool<\/title>\n<meta name=\"description\" content=\"Seaborn is a powerful Python data visualization library built on top of Matplotlib. 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