{"id":166351,"date":"2023-01-30T12:32:54","date_gmt":"2023-01-30T11:32:54","guid":{"rendered":"https:\/\/datascientest.com\/en\/?p=166351"},"modified":"2023-10-30T18:24:05","modified_gmt":"2023-10-30T17:24:05","slug":"dataviz-definition-objectives-and-uses","status":"publish","type":"post","link":"https:\/\/datascientest.com\/en\/dataviz-definition-objectives-and-uses","title":{"rendered":"DataViz: Definition, objectives and uses"},"content":{"rendered":"\t\t<div data-elementor-type=\"wp-post\" data-elementor-id=\"166351\" class=\"elementor elementor-166351\" data-elementor-post-type=\"post\">\n\t\t\t\t\t\t\t<div class=\"elementor-element elementor-element-e0f1de2 e-flex e-con-boxed e-con\" data-id=\"e0f1de2\" data-element_type=\"container\" data-settings=\"{&quot;content_width&quot;:&quot;boxed&quot;}\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-4aca62b elementor-widget elementor-widget-text-editor\" data-id=\"4aca62b\" 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><b>Data Visualization, often called &#8220;Dataviz&#8221;, is the set of techniques that allow the visual transformation and the synthesis of raw data to make them speak.<\/b><\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-71c4fcd e-flex e-con-boxed e-con\" data-id=\"71c4fcd\" data-element_type=\"container\" data-settings=\"{&quot;content_width&quot;:&quot;boxed&quot;}\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-c1cf06b elementor-widget elementor-widget-heading\" data-id=\"c1cf06b\" 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><h3 class=\"elementor-heading-title elementor-size-default\">Where does the concept of Data Visualization come from?<\/h3>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-282c487 elementor-widget elementor-widget-text-editor\" data-id=\"282c487\" 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><b>Dataviz<\/b><span style=\"font-weight: 400;\"> is a process of transmitting information that goes back several centuries.<\/span><\/p><p><span style=\"font-weight: 400;\">In the 18th century, the engineer and economist <\/span><b>William Playfair<\/b><span style=\"font-weight: 400;\"> invented the <\/span><b>histogram<\/b><span style=\"font-weight: 400;\">, the <\/span><b>pie chart<\/b><span style=\"font-weight: 400;\">, and the <\/span><b>time series<\/b><span style=\"font-weight: 400;\">, 3 simple types of graphs still widely used today.<\/span><\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-1f2fe6b elementor-widget elementor-widget-image\" data-id=\"1f2fe6b\" 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=\"421\" src=\"https:\/\/datascientest.com\/en\/files\/2023\/01\/1-William-Fairplay-1759-1823-pionnier-de-la-dataviz.jpg\" class=\"attachment-large size-large wp-image-166359\" alt=\"William-Fairplay\" srcset=\"https:\/\/datascientest.com\/en\/files\/2023\/01\/1-William-Fairplay-1759-1823-pionnier-de-la-dataviz.jpg 974w, https:\/\/datascientest.com\/en\/files\/2023\/01\/1-William-Fairplay-1759-1823-pionnier-de-la-dataviz-300x158.jpg 300w, https:\/\/datascientest.com\/en\/files\/2023\/01\/1-William-Fairplay-1759-1823-pionnier-de-la-dataviz-768x404.jpg 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\">1 - William Playfair (1759 - 1823), pioneer of dataviz<\/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<div class=\"elementor-element elementor-element-3b8a850 elementor-widget elementor-widget-text-editor\" data-id=\"3b8a850\" 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><span style=\"font-weight: 400;\">Today, <\/span><b>Dataviz is present everywhere<\/b><span style=\"font-weight: 400;\">, whether it is in the latest Analysis report of your website or the most mainstream media. It is also a <\/span><b>powerful communication tool <\/b><span style=\"font-weight: 400;\">that can be put to good use in <\/span><span style=\"text-decoration: underline;\"><strong><a href=\"https:\/\/datascientest.com\/en\/data-science-definition-issues-and-use-cases\">Data Science<\/a><\/strong><\/span><span style=\"font-weight: 400;\">.<\/span><\/p><p><span style=\"font-weight: 400;\">Let&#8217;s imagine that you have just completed an <\/span><b>exhaustive analysis<\/b><span style=\"font-weight: 400;\"> of a database containing the purchases and characteristics of many consumers. During your analysis, you must have noticed a lot of useful information, for example, the impact of the promotion strategy decided by your company. You must have defined <\/span><b>performance indicators<\/b><span style=\"font-weight: 400;\"> to give <\/span><b>credibility<\/b><span style=\"font-weight: 400;\"> to your analysis. So you end up with a lot of figures that are difficult to understand for everyone.\u00a0<\/span><\/p><p><span style=\"font-weight: 400;\">How can you summarize your analysis in an intelligible and clear manner without using indigestible tables of figures?\u00a0<\/span><\/p><p><span style=\"font-weight: 400;\">This is where <\/span><b>Dataviz<\/b><span style=\"font-weight: 400;\"> comes in. <\/span><b>Data visualization will offer you a set of techniques<\/b><span style=\"font-weight: 400;\"> allowing the transformation of raw and often complex data into accessible visual representations to make them quickly understandable to the greatest number of people.<\/span><\/p><p><span style=\"font-weight: 400;\">By using graphs such as pie charts or histograms you will be able to <\/span><b>synthesize<\/b><span style=\"font-weight: 400;\"> and organize your analysis.<\/span><\/p><p><span style=\"font-weight: 400;\">Moreover, access to data becomes faster, and more relevant and makes the data sharing easier and use easier by different branches.<\/span><\/p><p><span style=\"font-weight: 400;\">You will be able to tell the story of your analysis, using what we call <\/span><b>storytelling<\/b><span style=\"font-weight: 400;\">. Better than illustrating, you need to unfold, using the tools offered by dataviz, the steps of your reasoning until the conclusion.<\/span><\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-139f2d3 elementor-align-center button-principal elementor-widget elementor-widget-button\" data-id=\"139f2d3\" 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-md\" href=\"https:\/\/datascientest.com\/en\/data-analyst-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\">Start a DataViz training course<\/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\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-99a3677 e-flex e-con-boxed e-con\" data-id=\"99a3677\" data-element_type=\"container\" data-settings=\"{&quot;content_width&quot;:&quot;boxed&quot;}\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-b0fbdbe elementor-widget elementor-widget-heading\" data-id=\"b0fbdbe\" 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\">How to do Dataviz with Python?<\/h3>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-e7a545d elementor-widget elementor-widget-text-editor\" data-id=\"e7a545d\" 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><span style=\"font-weight: 400;\">Python has emerged as the<\/span><b> go-to language<\/b><span style=\"font-weight: 400;\"> in recent years for exploring and <\/span><b>analyzing data sets<\/b><span style=\"font-weight: 400;\">.<\/span><\/p><p><span style=\"font-weight: 400;\">One of the <\/span><span style=\"text-decoration: underline;\"><strong><a href=\"https:\/\/datascientest.com\/en\/python-the-most-popular-programming-language\">advantages of Python<\/a><\/strong><\/span><span style=\"font-weight: 400;\"> is that you can use the same free and open-source language for many data science tasks such as data mining, statistical analysis, machine learning, and data visualization.<\/span><\/p><p><b>Matplotlib<\/b><span style=\"font-weight: 400;\"> is the first Python library that allows you to generate and manage several types of graphs, in a fairly simple and orderly way.<\/span><\/p><p><span style=\"font-weight: 400;\">It is also the <\/span><b>most used<\/b><span style=\"font-weight: 400;\"> in Data Science with Python, and the most common in Data Vizualization training.<\/span><\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-209f4d9 elementor-widget elementor-widget-image\" data-id=\"209f4d9\" 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=\"300\" height=\"225\" src=\"https:\/\/datascientest.com\/en\/files\/2023\/01\/2-Graphique-re\u0301alise\u0301-avec-Matplotlib.jpg\" class=\"attachment-large size-large wp-image-166360\" alt=\"Chart_matplotlib\" \/>\t\t\t\t\t\t\t\t\t\t\t<figcaption class=\"widget-image-caption wp-caption-text\">2- Graphs realized with Matplotlib<\/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<div class=\"elementor-element elementor-element-630ed7d elementor-widget elementor-widget-text-editor\" data-id=\"630ed7d\" 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><span style=\"font-weight: 400;\">Many other libraries, based on Matplotlib, have been created to <\/span><b>modernize graphics<\/b><span style=\"font-weight: 400;\"> and make their creation even <\/span><b>simpler<\/b><span style=\"font-weight: 400;\">.<\/span><\/p><p><span style=\"font-weight: 400;\">This is the case of <\/span><span style=\"text-decoration: underline;\"><a href=\"https:\/\/datascientest.com\/en\/seaborn_and_data_visualization\"><b>Seaborn<\/b><\/a><\/span><span style=\"font-weight: 400;\">, very appreciated for its statistical graphics and its disconcerting simplicity.<\/span><\/p><p><span style=\"font-weight: 400;\">This library is used <\/span><b>in addition to Matplotlib<\/b><span style=\"font-weight: 400;\">. For the <\/span><b>advanced management<\/b><span style=\"font-weight: 400;\"> of the design of your graph, titles, frames, and axes, <\/span><b>Matplotlib will be indispensable <\/b><span style=\"font-weight: 400;\">while Seaborn will be more appreciated for its aesthetics.<\/span><\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-43d2d56 elementor-align-center button-principal elementor-widget elementor-widget-button\" data-id=\"43d2d56\" 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-md\" 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 create Dataviz with Python<\/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<div class=\"elementor-element elementor-element-b977a0a elementor-widget__width-initial elementor-widget elementor-widget-image\" data-id=\"b977a0a\" 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=\"564\" height=\"506\" src=\"https:\/\/datascientest.com\/en\/files\/2023\/01\/3-Graphique-Seaborn.jpg\" class=\"attachment-large size-large wp-image-166362\" alt=\"Seaborn chart\" srcset=\"https:\/\/datascientest.com\/en\/files\/2023\/01\/3-Graphique-Seaborn.jpg 564w, https:\/\/datascientest.com\/en\/files\/2023\/01\/3-Graphique-Seaborn-300x269.jpg 300w\" sizes=\"(max-width: 564px) 100vw, 564px\" \/>\t\t\t\t\t\t\t\t\t\t\t<figcaption class=\"widget-image-caption wp-caption-text\">3- Seaborn chart<\/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<div class=\"elementor-element elementor-element-71184a1 elementor-widget elementor-widget-text-editor\" data-id=\"71184a1\" 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><span style=\"font-weight: 400;\">More recently, the appearance of libraries such as <\/span><b>Plotly<\/b><span style=\"font-weight: 400;\"> or <\/span><b>Bokeh<\/b><span style=\"font-weight: 400;\">, make it possible to create high-level interactive graphics, which are easily integrated into a web page, without needing to master <\/span><b>JavaScript.<\/b><\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-ee9db19 elementor-widget__width-initial elementor-widget elementor-widget-image\" data-id=\"ee9db19\" 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=\"800\" height=\"364\" src=\"https:\/\/datascientest.com\/en\/files\/2023\/01\/4-Graphique-Plotly.jpg\" class=\"attachment-large size-large wp-image-166363\" alt=\"Plotly chart\" srcset=\"https:\/\/datascientest.com\/en\/files\/2023\/01\/4-Graphique-Plotly.jpg 974w, https:\/\/datascientest.com\/en\/files\/2023\/01\/4-Graphique-Plotly-300x136.jpg 300w, https:\/\/datascientest.com\/en\/files\/2023\/01\/4-Graphique-Plotly-768x349.jpg 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\">4- Bokeh graph <\/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<div class=\"elementor-element elementor-element-38636bd elementor-widget elementor-widget-text-editor\" data-id=\"38636bd\" 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><span style=\"font-weight: 400;\">With specialized libraries such as <\/span><strong><span style=\"text-decoration: underline;\"><a href=\"https:\/\/holoviz.org\/\">Holoviz<\/a><\/span><\/strong><span style=\"font-weight: 400;\"> or <\/span><span style=\"text-decoration: underline;\"><a href=\"https:\/\/geoviews.org\/\"><b>Geoviews<\/b><\/a><\/span><span style=\"font-weight: 400;\">, you can also quickly create mapped dataviz, very popular with the media.<\/span><\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-6949621 elementor-widget elementor-widget-image\" data-id=\"6949621\" 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=\"768\" height=\"272\" src=\"https:\/\/datascientest.com\/en\/files\/2023\/01\/5-Graphique-Bokeh.jpg\" class=\"attachment-large size-large wp-image-166361\" alt=\"Bokeh chart\" srcset=\"https:\/\/datascientest.com\/en\/files\/2023\/01\/5-Graphique-Bokeh.jpg 768w, https:\/\/datascientest.com\/en\/files\/2023\/01\/5-Graphique-Bokeh-300x106.jpg 300w\" sizes=\"(max-width: 768px) 100vw, 768px\" \/>\t\t\t\t\t\t\t\t\t\t\t<figcaption class=\"widget-image-caption wp-caption-text\">6- Holoviz chart<\/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<div class=\"elementor-element elementor-element-ce9ae45 elementor-widget elementor-widget-text-editor\" data-id=\"ce9ae45\" 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><span style=\"font-weight: 400;\">There are many other tools, such as <\/span><b>Dash<\/b><span style=\"font-weight: 400;\"> which allows you to create <\/span><b>dashboards<\/b><span style=\"font-weight: 400;\"> and web applications with your graphs.<\/span><\/p><p><span style=\"font-weight: 400;\">All these packages have the advantage of being very well-documented and<\/span><b> easy to use <\/b><span style=\"font-weight: 400;\">(provided that you have worked on your data beforehand). They will allow you to <\/span><b>display <\/b><span style=\"font-weight: 400;\">and <\/span><b>save <\/b><span style=\"font-weight: 400;\">good-level graphs synthesizing efficiently the information of your dataset according to the message you want to put across.<\/span><\/p><p><span style=\"font-weight: 400;\">You will be able to <\/span><b>display up to 4-5 pieces <\/b><span style=\"font-weight: 400;\">of information easily in the same graph, and with 2 lines of code, with some of Seaborn&#8217;s functions.<\/span><\/p><p><span style=\"font-weight: 400;\">For a web application containing several <\/span><b>interactive graphs<\/b><span style=\"font-weight: 400;\">, you will need a longer code, it&#8217;s up to you to define the investment that will suit you <\/span><b>depending on the expected result<\/b><span style=\"font-weight: 400;\">.<\/span><\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-69c598c elementor-align-center button-principal elementor-widget elementor-widget-button\" data-id=\"69c598c\" 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-md\" href=\"https:\/\/datascientest.com\/en\/data-analyst-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\">Become a Dataviz expert<\/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\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-2d08e7e e-flex e-con-boxed e-con\" data-id=\"2d08e7e\" data-element_type=\"container\" data-settings=\"{&quot;content_width&quot;:&quot;boxed&quot;}\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-203a663 elementor-widget elementor-widget-html\" data-id=\"203a663\" data-element_type=\"widget\" data-widget_type=\"html.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<script type=\"application\/ld+json\">\r\n{\r\n  \"@context\": \"https:\/\/schema.org\",\r\n  \"@type\": \"FAQPage\",\r\n  \"mainEntity\": [{\r\n    \"@type\": \"Question\",\r\n    \"name\": \"Where does the concept of Data Visualization originate?\",\r\n    \"acceptedAnswer\": {\r\n      \"@type\": \"Answer\",\r\n      \"text\": \"Dataviz is a process of transmitting information that goes back several centuries. 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One of the advantages of Python is that you can use the same free and open-source language for many data science tasks such as data mining, statistical analysis, machine learning, and data visualization.\"\r\n    }\r\n  }]\r\n}\r\n<\/script>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t\t\t<\/div>\n\t\t","protected":false},"excerpt":{"rendered":"<p>Data Visualization, often called &#8220;Dataviz&#8221;, is the set of techniques that allow the visual transformation and the synthesis of raw data to make them speak. Where does the concept of Data Visualization come from? Dataviz is a process of transmitting information that goes back several centuries. In the 18th century, the engineer and economist William [&hellip;]<\/p>\n","protected":false},"author":63,"featured_media":166371,"comment_status":"open","ping_status":"open","sticky":false,"template":"elementor_theme","format":"standard","meta":{"content-type":"","inline_featured_image":false},"categories":[2420],"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>DataViz: Definition, objectives and uses<\/title>\n<meta name=\"description\" content=\"Data Visualization, often called &quot;Dataviz&quot;, is the set of techniques that allow the visual transformation and the synthesis of raw data to make them speak.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/datascientest.com\/en\/dataviz-definition-objectives-and-uses\" \/>\n<meta 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