{"id":38254,"date":"2020-03-19T12:00:00","date_gmt":"2020-03-19T16:00:00","guid":{"rendered":"https:\/\/ibkrcampus.com\/?p=38254"},"modified":"2022-11-21T09:45:12","modified_gmt":"2022-11-21T14:45:12","slug":"exploratory-data-analysis-in-python","status":"publish","type":"post","link":"https:\/\/www.interactivebrokers.com\/campus\/ibkr-quant-news\/exploratory-data-analysis-in-python\/","title":{"rendered":"Exploratory Data Analysis in Python"},"content":{"rendered":"\n<p><strong><em>Excerpt<\/em><\/strong><\/p>\n\n\n\n<p><strong>What is Exploratory Data Analysis?<\/strong><\/p>\n\n\n\n<p>It is said that John Tukey was the one who introduced and made Exploratory data analysis a crucial step in the data science process. When asked what does it mean, he simply said, &#8220;Exploratory data analysis&#8221; is an attitude, a state of flexibility, a willingness to look for those things that we believe are not there, as well as those we believe to be there.<\/p>\n\n\n\n<p>The main aim of exploratory data analysis is to:<\/p>\n\n\n\n<ul class=\"wp-block-list\"><li>Gain insight into the available data<\/li><li>Find out any relation between the different variables<\/li><li>Find anything which is out of the ordinary, ie outlier or anomaly<\/li><li>Test any assumptions or instincts<\/li><li>Find any optimum parameters or variable which will help us solve the problem statement faster<br><\/li><\/ul>\n\n\n\n<p>Yes, that&#8217;s probably it. You can see where the EDA process stands in the whole data science process below<\/p>\n\n\n\n<figure class=\"wp-block-image size-large\"><img decoding=\"async\" width=\"958\" height=\"108\" data-src=\"\/campus\/wp-content\/uploads\/sites\/2\/2020\/03\/quantInsti-1Mar.png\" alt=\"QuantInsti\" class=\"wp-image-38794 lazyload\" data-srcset=\"https:\/\/ibkrcampus.com\/campus\/wp-content\/uploads\/sites\/2\/2020\/03\/quantInsti-1Mar.png 958w, https:\/\/ibkrcampus.com\/campus\/wp-content\/uploads\/sites\/2\/2020\/03\/quantInsti-1Mar-700x79.png 700w, https:\/\/ibkrcampus.com\/campus\/wp-content\/uploads\/sites\/2\/2020\/03\/quantInsti-1Mar-300x34.png 300w, https:\/\/ibkrcampus.com\/campus\/wp-content\/uploads\/sites\/2\/2020\/03\/quantInsti-1Mar-768x87.png 768w\" data-sizes=\"(max-width: 958px) 100vw, 958px\" src=\"data:image\/svg+xml;base64,PHN2ZyB3aWR0aD0iMSIgaGVpZ2h0PSIxIiB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciPjwvc3ZnPg==\" style=\"--smush-placeholder-width: 958px; aspect-ratio: 958\/108;\" \/><\/figure>\n\n\n\n<p>The main component in exploratory data analysis is the visualisation of data. Let&#8217;s see how we perform Exploratory Data Analysis in the next section.<\/p>\n\n\n\n<p><strong>What are the types of EDA methods?<\/strong><\/p>\n\n\n\n<p>Existing literature tells us that there are four types of exploratory data analysis. Let\u00e2\u20ac\u2122s look at them below:<\/p>\n\n\n\n<p><strong>Univariate non-graphical method<\/strong><\/p>\n\n\n\n<p>Breaking down the name, univariate implies that there is just one variable and non-graphical is well, there is no visual element in this method.<\/p>\n\n\n\n<p>There are plenty of examples in this method, which can vary from the height of NBA players in a team or only the opening price of Tesla Inc. in 2019. One of the Univariate non-graphical methods can be the 5 number summary of a variable.<\/p>\n\n\n\n<p>Taking the example of Tesla Closing prices for 11 days, we will take only the closing prices and tabulate them below. Thus it would look something like this:<\/p>\n\n\n\n<figure class=\"wp-block-image size-large\"><img decoding=\"async\" width=\"303\" height=\"302\" data-src=\"\/campus\/wp-content\/uploads\/sites\/2\/2020\/03\/quantInsti-1Mar2.png\" alt=\"\" class=\"wp-image-38801 lazyload\" data-srcset=\"https:\/\/ibkrcampus.com\/campus\/wp-content\/uploads\/sites\/2\/2020\/03\/quantInsti-1Mar2.png 303w, https:\/\/ibkrcampus.com\/campus\/wp-content\/uploads\/sites\/2\/2020\/03\/quantInsti-1Mar2-300x299.png 300w\" data-sizes=\"(max-width: 303px) 100vw, 303px\" src=\"data:image\/svg+xml;base64,PHN2ZyB3aWR0aD0iMSIgaGVpZ2h0PSIxIiB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciPjwvc3ZnPg==\" style=\"--smush-placeholder-width: 303px; aspect-ratio: 303\/302;\" \/><\/figure>\n\n\n\n<p>The five-number summary consists of the Minimum value, 1st Quartile, Median, 3rd Quartile, and Maximum number.<\/p>\n\n\n\n<p>Let&#8217;s calculate this in Python:<\/p>\n\n\n\n<p><code># import 11 day Tesla data<br> import yfinance as yf<br> tesla = yf.download('TSLA','2020-01-27', '2020-02-11')<br> tesla['Close']<br><br> # Calculating the 5 number summary<br> from numpy import percentile<br><br> # calculate quartiles<br>All_quartiles = percentile(tesla['Close'], [25, 50, 75])<br><br> # calculate min\/max<br> Minimum, Maximum = tesla['Close'].min(), tesla['Close'].max()<br><br> # print the five number summary<br> print(Minimum)<br> print(All_quartiles[0])<br> print(All_quartiles[1])<br> print(All_quartiles[2])<br> print(Maximum)<\/code><\/p>\n\n\n\n<p>You will get the following output: <\/p>\n\n\n\n<figure class=\"wp-block-image size-large\"><img decoding=\"async\" width=\"156\" height=\"91\" data-src=\"\/campus\/wp-content\/uploads\/sites\/2\/2020\/03\/quantInsti-1Mar3.png\" alt=\"\" class=\"wp-image-38839 lazyload\" src=\"data:image\/svg+xml;base64,PHN2ZyB3aWR0aD0iMSIgaGVpZ2h0PSIxIiB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciPjwvc3ZnPg==\" style=\"--smush-placeholder-width: 156px; aspect-ratio: 156\/91;\" \/><\/figure>\n\n\n\n<p>Of course, apart from the following, you can always check the number of values, the mean etc.<\/p>\n\n\n\n<p>By the way, you can also try the one-line command which pretty much gives you all the information you need in a simple format.<\/p>\n\n\n\n<p>The Python code is:<\/p>\n\n\n\n<pre class=\"wp-block-preformatted\">tesla['Close'].describe()<\/pre>\n\n\n\n<figure class=\"wp-block-image size-large\"><img decoding=\"async\" width=\"224\" height=\"161\" data-src=\"\/campus\/wp-content\/uploads\/sites\/2\/2020\/03\/quantInsti-1Mar4.png\" alt=\"\" class=\"wp-image-38843 lazyload\" src=\"data:image\/svg+xml;base64,PHN2ZyB3aWR0aD0iMSIgaGVpZ2h0PSIxIiB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciPjwvc3ZnPg==\" style=\"--smush-placeholder-width: 224px; aspect-ratio: 224\/161;\" \/><\/figure>\n\n\n\n<p>Visit QuantInsti website to read the full article and download the Python code:<br><a href=\"https:\/\/blog.quantinsti.com\/exploratory-data-analysis-python\/\">https:\/\/blog.quantinsti.com\/exploratory-data-analysis-python\/<\/a> <\/p>\n\n\n\n<p style=\"font-size:11px\">Disclaimer: All investments and trading in the stock market involve risk. Any decisions to place trades in the financial markets, including trading in stock or options or other financial instruments is a personal decision that should only be made after thorough research, including a personal risk and financial assessment and the engagement of professional assistance to the extent you believe necessary. The trading strategies or related information mentioned in this article is for informational purposes only. <\/p>\n","protected":false},"excerpt":{"rendered":"<p>QuantInsti explores data analysis and relations between the different variables in stock research. The team also provides ready-to-use Python code<\/p>\n","protected":false},"author":91,"featured_media":38256,"comment_status":"closed","ping_status":"open","sticky":true,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":""},"categories":[339,343,349,338,350,341,344],"tags":[6900,5479,4922,6901,1006,595,494,6902],"contributors-categories":[13654],"class_list":{"0":"post-38254","1":"post","2":"type-post","3":"status-publish","4":"format-standard","5":"has-post-thumbnail","7":"category-data-science","8":"category-programing-languages","9":"category-python-development","10":"category-ibkr-quant-news","11":"category-quant-asia-pacific","12":"category-quant-development","13":"category-quant-regions","14":"tag-algotrading","15":"tag-data-visualisation","16":"tag-econometrics","17":"tag-exploratory-data-analysis","18":"tag-fintech","19":"tag-python","20":"tag-quant","21":"tag-univariate-non-graphical-method","22":"contributors-categories-quantinsti"},"pp_statuses_selecting_workflow":false,"pp_workflow_action":"current","pp_status_selection":"publish","acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO Premium plugin v26.9 (Yoast SEO v27.4) - https:\/\/yoast.com\/product\/yoast-seo-premium-wordpress\/ -->\n<title>Exploratory Data Analysis in Python | IBKR Quant<\/title>\n<meta name=\"description\" content=\"QuantInsti explores data analysis and relations between the different variables in stock research. The team provides ready-to-use Python code\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/www.interactivebrokers.com\/campus\/wp-json\/wp\/v2\/posts\/38254\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Exploratory Data Analysis in Python | Quant Blog\" \/>\n<meta property=\"og:description\" content=\"QuantInsti explores data analysis and relations between the different variables in stock research. The team provides ready-to-use Python code\" \/>\n<meta property=\"og:url\" content=\"https:\/\/www.interactivebrokers.com\/campus\/ibkr-quant-news\/exploratory-data-analysis-in-python\/\" \/>\n<meta property=\"og:site_name\" content=\"IBKR Campus US\" \/>\n<meta property=\"article:published_time\" content=\"2020-03-19T16:00:00+00:00\" \/>\n<meta property=\"article:modified_time\" content=\"2022-11-21T14:45:12+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/www.interactivebrokers.com\/campus\/wp-content\/uploads\/sites\/2\/2020\/03\/digital-code-abstract.jpg\" \/>\n\t<meta property=\"og:image:width\" content=\"900\" \/>\n\t<meta property=\"og:image:height\" content=\"538\" \/>\n\t<meta property=\"og:image:type\" content=\"image\/jpeg\" \/>\n<meta name=\"author\" content=\"Rekhit Pachanekar\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:label1\" content=\"Written by\" \/>\n\t<meta name=\"twitter:data1\" content=\"Rekhit Pachanekar\" \/>\n\t<meta name=\"twitter:label2\" content=\"Est. reading time\" \/>\n\t<meta name=\"twitter:data2\" content=\"3 minutes\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\n\t    \"@context\": \"https:\\\/\\\/schema.org\",\n\t    \"@graph\": [\n\t        {\n\t            \"@type\": \"NewsArticle\",\n\t            \"@id\": \"https:\\\/\\\/www.interactivebrokers.com\\\/campus\\\/ibkr-quant-news\\\/exploratory-data-analysis-in-python\\\/#article\",\n\t            \"isPartOf\": {\n\t                \"@id\": \"https:\\\/\\\/www.interactivebrokers.com\\\/campus\\\/ibkr-quant-news\\\/exploratory-data-analysis-in-python\\\/\"\n\t            },\n\t            \"author\": {\n\t                \"name\": \"Rekhit Pachanekar\",\n\t                \"@id\": \"https:\\\/\\\/ibkrcampus.com\\\/campus\\\/#\\\/schema\\\/person\\\/8ab08253f8958ae9552fd7d7b5697370\"\n\t            },\n\t            \"headline\": \"Exploratory Data Analysis in Python\",\n\t            \"datePublished\": \"2020-03-19T16:00:00+00:00\",\n\t            \"dateModified\": \"2022-11-21T14:45:12+00:00\",\n\t            \"mainEntityOfPage\": {\n\t                \"@id\": \"https:\\\/\\\/www.interactivebrokers.com\\\/campus\\\/ibkr-quant-news\\\/exploratory-data-analysis-in-python\\\/\"\n\t            },\n\t            \"wordCount\": 466,\n\t            \"publisher\": {\n\t                \"@id\": \"https:\\\/\\\/ibkrcampus.com\\\/campus\\\/#organization\"\n\t            },\n\t            \"image\": {\n\t                \"@id\": \"https:\\\/\\\/www.interactivebrokers.com\\\/campus\\\/ibkr-quant-news\\\/exploratory-data-analysis-in-python\\\/#primaryimage\"\n\t            },\n\t            \"thumbnailUrl\": \"https:\\\/\\\/www.interactivebrokers.com\\\/campus\\\/wp-content\\\/uploads\\\/sites\\\/2\\\/2020\\\/03\\\/digital-code-abstract.jpg\",\n\t            \"keywords\": [\n\t                \"AlgoTrading\",\n\t                \"Data Visualisation\",\n\t                \"Econometrics\",\n\t                \"Exploratory Data Analysis\",\n\t                \"fintech\",\n\t                \"Python\",\n\t                \"Quant\",\n\t                \"Univariate non-graphical method\"\n\t            ],\n\t            \"articleSection\": [\n\t                \"Data Science\",\n\t                \"Programming Languages\",\n\t                \"Python Development\",\n\t                \"Quant\",\n\t                \"Quant Asia Pacific\",\n\t                \"Quant Development\",\n\t                \"Quant Regions\"\n\t            ],\n\t            \"inLanguage\": \"en-US\"\n\t        },\n\t        {\n\t            \"@type\": \"WebPage\",\n\t            \"@id\": \"https:\\\/\\\/www.interactivebrokers.com\\\/campus\\\/ibkr-quant-news\\\/exploratory-data-analysis-in-python\\\/\",\n\t            \"url\": \"https:\\\/\\\/www.interactivebrokers.com\\\/campus\\\/ibkr-quant-news\\\/exploratory-data-analysis-in-python\\\/\",\n\t            \"name\": \"Exploratory Data Analysis in Python | Quant Blog\",\n\t            \"isPartOf\": {\n\t                \"@id\": \"https:\\\/\\\/ibkrcampus.com\\\/campus\\\/#website\"\n\t            },\n\t            \"primaryImageOfPage\": {\n\t                \"@id\": \"https:\\\/\\\/www.interactivebrokers.com\\\/campus\\\/ibkr-quant-news\\\/exploratory-data-analysis-in-python\\\/#primaryimage\"\n\t            },\n\t            \"image\": {\n\t                \"@id\": \"https:\\\/\\\/www.interactivebrokers.com\\\/campus\\\/ibkr-quant-news\\\/exploratory-data-analysis-in-python\\\/#primaryimage\"\n\t            },\n\t            \"thumbnailUrl\": \"https:\\\/\\\/www.interactivebrokers.com\\\/campus\\\/wp-content\\\/uploads\\\/sites\\\/2\\\/2020\\\/03\\\/digital-code-abstract.jpg\",\n\t            \"datePublished\": \"2020-03-19T16:00:00+00:00\",\n\t            \"dateModified\": \"2022-11-21T14:45:12+00:00\",\n\t            \"description\": \"QuantInsti explores data analysis and relations between the different variables in stock research. The team provides ready-to-use Python code\",\n\t            \"inLanguage\": \"en-US\",\n\t            \"potentialAction\": [\n\t                {\n\t                    \"@type\": \"ReadAction\",\n\t                    \"target\": [\n\t                        \"https:\\\/\\\/www.interactivebrokers.com\\\/campus\\\/ibkr-quant-news\\\/exploratory-data-analysis-in-python\\\/\"\n\t                    ]\n\t                }\n\t            ]\n\t        },\n\t        {\n\t            \"@type\": \"ImageObject\",\n\t            \"inLanguage\": \"en-US\",\n\t            \"@id\": \"https:\\\/\\\/www.interactivebrokers.com\\\/campus\\\/ibkr-quant-news\\\/exploratory-data-analysis-in-python\\\/#primaryimage\",\n\t            \"url\": \"https:\\\/\\\/www.interactivebrokers.com\\\/campus\\\/wp-content\\\/uploads\\\/sites\\\/2\\\/2020\\\/03\\\/digital-code-abstract.jpg\",\n\t            \"contentUrl\": \"https:\\\/\\\/www.interactivebrokers.com\\\/campus\\\/wp-content\\\/uploads\\\/sites\\\/2\\\/2020\\\/03\\\/digital-code-abstract.jpg\",\n\t            \"width\": 900,\n\t            \"height\": 538,\n\t            \"caption\": \"Quant\"\n\t        },\n\t        {\n\t            \"@type\": \"WebSite\",\n\t            \"@id\": \"https:\\\/\\\/ibkrcampus.com\\\/campus\\\/#website\",\n\t            \"url\": \"https:\\\/\\\/ibkrcampus.com\\\/campus\\\/\",\n\t            \"name\": \"IBKR Campus US\",\n\t            \"description\": \"Financial Education from Interactive Brokers\",\n\t            \"publisher\": {\n\t                \"@id\": \"https:\\\/\\\/ibkrcampus.com\\\/campus\\\/#organization\"\n\t            },\n\t            \"potentialAction\": [\n\t                {\n\t                    \"@type\": \"SearchAction\",\n\t                    \"target\": {\n\t                        \"@type\": \"EntryPoint\",\n\t                        \"urlTemplate\": \"https:\\\/\\\/ibkrcampus.com\\\/campus\\\/?s={search_term_string}\"\n\t                    },\n\t                    \"query-input\": {\n\t                        \"@type\": \"PropertyValueSpecification\",\n\t                        \"valueRequired\": true,\n\t                        \"valueName\": \"search_term_string\"\n\t                    }\n\t                }\n\t            ],\n\t            \"inLanguage\": \"en-US\"\n\t        },\n\t        {\n\t            \"@type\": \"Organization\",\n\t            \"@id\": \"https:\\\/\\\/ibkrcampus.com\\\/campus\\\/#organization\",\n\t            \"name\": \"Interactive Brokers\",\n\t            \"alternateName\": \"IBKR\",\n\t            \"url\": \"https:\\\/\\\/ibkrcampus.com\\\/campus\\\/\",\n\t            \"logo\": {\n\t                \"@type\": \"ImageObject\",\n\t                \"inLanguage\": \"en-US\",\n\t                \"@id\": \"https:\\\/\\\/ibkrcampus.com\\\/campus\\\/#\\\/schema\\\/logo\\\/image\\\/\",\n\t                \"url\": \"https:\\\/\\\/www.interactivebrokers.com\\\/campus\\\/wp-content\\\/uploads\\\/sites\\\/2\\\/2024\\\/05\\\/ibkr-campus-logo.jpg\",\n\t                \"contentUrl\": \"https:\\\/\\\/www.interactivebrokers.com\\\/campus\\\/wp-content\\\/uploads\\\/sites\\\/2\\\/2024\\\/05\\\/ibkr-campus-logo.jpg\",\n\t                \"width\": 669,\n\t                \"height\": 669,\n\t                \"caption\": \"Interactive Brokers\"\n\t            },\n\t            \"image\": {\n\t                \"@id\": \"https:\\\/\\\/ibkrcampus.com\\\/campus\\\/#\\\/schema\\\/logo\\\/image\\\/\"\n\t            },\n\t            \"publishingPrinciples\": \"https:\\\/\\\/www.interactivebrokers.com\\\/campus\\\/about-ibkr-campus\\\/\",\n\t            \"ethicsPolicy\": \"https:\\\/\\\/www.interactivebrokers.com\\\/campus\\\/cyber-security-notice\\\/\"\n\t        },\n\t        {\n\t            \"@type\": \"Person\",\n\t            \"@id\": \"https:\\\/\\\/ibkrcampus.com\\\/campus\\\/#\\\/schema\\\/person\\\/8ab08253f8958ae9552fd7d7b5697370\",\n\t            \"name\": \"Rekhit Pachanekar\",\n\t            \"url\": \"https:\\\/\\\/www.interactivebrokers.com\\\/campus\\\/author\\\/rekhit\\\/\"\n\t        }\n\t    ]\n\t}<\/script>\n<!-- \/ Yoast SEO Premium plugin. -->","yoast_head_json":{"title":"Exploratory Data Analysis in Python | IBKR Quant","description":"QuantInsti explores data analysis and relations between the different variables in stock research. The team provides ready-to-use Python code","robots":{"index":"index","follow":"follow","max-snippet":"max-snippet:-1","max-image-preview":"max-image-preview:large","max-video-preview":"max-video-preview:-1"},"canonical":"https:\/\/www.interactivebrokers.com\/campus\/wp-json\/wp\/v2\/posts\/38254\/","og_locale":"en_US","og_type":"article","og_title":"Exploratory Data Analysis in Python | Quant Blog","og_description":"QuantInsti explores data analysis and relations between the different variables in stock research. The team provides ready-to-use Python code","og_url":"https:\/\/www.interactivebrokers.com\/campus\/ibkr-quant-news\/exploratory-data-analysis-in-python\/","og_site_name":"IBKR Campus US","article_published_time":"2020-03-19T16:00:00+00:00","article_modified_time":"2022-11-21T14:45:12+00:00","og_image":[{"width":900,"height":538,"url":"https:\/\/www.interactivebrokers.com\/campus\/wp-content\/uploads\/sites\/2\/2020\/03\/digital-code-abstract.jpg","type":"image\/jpeg"}],"author":"Rekhit Pachanekar","twitter_card":"summary_large_image","twitter_misc":{"Written by":"Rekhit Pachanekar","Est. reading time":"3 minutes"},"schema":{"@context":"https:\/\/schema.org","@graph":[{"@type":"NewsArticle","@id":"https:\/\/www.interactivebrokers.com\/campus\/ibkr-quant-news\/exploratory-data-analysis-in-python\/#article","isPartOf":{"@id":"https:\/\/www.interactivebrokers.com\/campus\/ibkr-quant-news\/exploratory-data-analysis-in-python\/"},"author":{"name":"Rekhit Pachanekar","@id":"https:\/\/ibkrcampus.com\/campus\/#\/schema\/person\/8ab08253f8958ae9552fd7d7b5697370"},"headline":"Exploratory Data Analysis in Python","datePublished":"2020-03-19T16:00:00+00:00","dateModified":"2022-11-21T14:45:12+00:00","mainEntityOfPage":{"@id":"https:\/\/www.interactivebrokers.com\/campus\/ibkr-quant-news\/exploratory-data-analysis-in-python\/"},"wordCount":466,"publisher":{"@id":"https:\/\/ibkrcampus.com\/campus\/#organization"},"image":{"@id":"https:\/\/www.interactivebrokers.com\/campus\/ibkr-quant-news\/exploratory-data-analysis-in-python\/#primaryimage"},"thumbnailUrl":"https:\/\/www.interactivebrokers.com\/campus\/wp-content\/uploads\/sites\/2\/2020\/03\/digital-code-abstract.jpg","keywords":["AlgoTrading","Data Visualisation","Econometrics","Exploratory Data Analysis","fintech","Python","Quant","Univariate non-graphical method"],"articleSection":["Data Science","Programming Languages","Python Development","Quant","Quant Asia Pacific","Quant Development","Quant Regions"],"inLanguage":"en-US"},{"@type":"WebPage","@id":"https:\/\/www.interactivebrokers.com\/campus\/ibkr-quant-news\/exploratory-data-analysis-in-python\/","url":"https:\/\/www.interactivebrokers.com\/campus\/ibkr-quant-news\/exploratory-data-analysis-in-python\/","name":"Exploratory Data Analysis in Python | Quant Blog","isPartOf":{"@id":"https:\/\/ibkrcampus.com\/campus\/#website"},"primaryImageOfPage":{"@id":"https:\/\/www.interactivebrokers.com\/campus\/ibkr-quant-news\/exploratory-data-analysis-in-python\/#primaryimage"},"image":{"@id":"https:\/\/www.interactivebrokers.com\/campus\/ibkr-quant-news\/exploratory-data-analysis-in-python\/#primaryimage"},"thumbnailUrl":"https:\/\/www.interactivebrokers.com\/campus\/wp-content\/uploads\/sites\/2\/2020\/03\/digital-code-abstract.jpg","datePublished":"2020-03-19T16:00:00+00:00","dateModified":"2022-11-21T14:45:12+00:00","description":"QuantInsti explores data analysis and relations between the different variables in stock research. The team provides ready-to-use Python code","inLanguage":"en-US","potentialAction":[{"@type":"ReadAction","target":["https:\/\/www.interactivebrokers.com\/campus\/ibkr-quant-news\/exploratory-data-analysis-in-python\/"]}]},{"@type":"ImageObject","inLanguage":"en-US","@id":"https:\/\/www.interactivebrokers.com\/campus\/ibkr-quant-news\/exploratory-data-analysis-in-python\/#primaryimage","url":"https:\/\/www.interactivebrokers.com\/campus\/wp-content\/uploads\/sites\/2\/2020\/03\/digital-code-abstract.jpg","contentUrl":"https:\/\/www.interactivebrokers.com\/campus\/wp-content\/uploads\/sites\/2\/2020\/03\/digital-code-abstract.jpg","width":900,"height":538,"caption":"Quant"},{"@type":"WebSite","@id":"https:\/\/ibkrcampus.com\/campus\/#website","url":"https:\/\/ibkrcampus.com\/campus\/","name":"IBKR Campus US","description":"Financial Education from Interactive Brokers","publisher":{"@id":"https:\/\/ibkrcampus.com\/campus\/#organization"},"potentialAction":[{"@type":"SearchAction","target":{"@type":"EntryPoint","urlTemplate":"https:\/\/ibkrcampus.com\/campus\/?s={search_term_string}"},"query-input":{"@type":"PropertyValueSpecification","valueRequired":true,"valueName":"search_term_string"}}],"inLanguage":"en-US"},{"@type":"Organization","@id":"https:\/\/ibkrcampus.com\/campus\/#organization","name":"Interactive Brokers","alternateName":"IBKR","url":"https:\/\/ibkrcampus.com\/campus\/","logo":{"@type":"ImageObject","inLanguage":"en-US","@id":"https:\/\/ibkrcampus.com\/campus\/#\/schema\/logo\/image\/","url":"https:\/\/www.interactivebrokers.com\/campus\/wp-content\/uploads\/sites\/2\/2024\/05\/ibkr-campus-logo.jpg","contentUrl":"https:\/\/www.interactivebrokers.com\/campus\/wp-content\/uploads\/sites\/2\/2024\/05\/ibkr-campus-logo.jpg","width":669,"height":669,"caption":"Interactive Brokers"},"image":{"@id":"https:\/\/ibkrcampus.com\/campus\/#\/schema\/logo\/image\/"},"publishingPrinciples":"https:\/\/www.interactivebrokers.com\/campus\/about-ibkr-campus\/","ethicsPolicy":"https:\/\/www.interactivebrokers.com\/campus\/cyber-security-notice\/"},{"@type":"Person","@id":"https:\/\/ibkrcampus.com\/campus\/#\/schema\/person\/8ab08253f8958ae9552fd7d7b5697370","name":"Rekhit Pachanekar","url":"https:\/\/www.interactivebrokers.com\/campus\/author\/rekhit\/"}]}},"jetpack_featured_media_url":"https:\/\/www.interactivebrokers.com\/campus\/wp-content\/uploads\/sites\/2\/2020\/03\/digital-code-abstract.jpg","_links":{"self":[{"href":"https:\/\/ibkrcampus.com\/campus\/wp-json\/wp\/v2\/posts\/38254","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/ibkrcampus.com\/campus\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/ibkrcampus.com\/campus\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/ibkrcampus.com\/campus\/wp-json\/wp\/v2\/users\/91"}],"replies":[{"embeddable":true,"href":"https:\/\/ibkrcampus.com\/campus\/wp-json\/wp\/v2\/comments?post=38254"}],"version-history":[{"count":0,"href":"https:\/\/ibkrcampus.com\/campus\/wp-json\/wp\/v2\/posts\/38254\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/ibkrcampus.com\/campus\/wp-json\/wp\/v2\/media\/38256"}],"wp:attachment":[{"href":"https:\/\/ibkrcampus.com\/campus\/wp-json\/wp\/v2\/media?parent=38254"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/ibkrcampus.com\/campus\/wp-json\/wp\/v2\/categories?post=38254"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/ibkrcampus.com\/campus\/wp-json\/wp\/v2\/tags?post=38254"},{"taxonomy":"contributors-categories","embeddable":true,"href":"https:\/\/ibkrcampus.com\/campus\/wp-json\/wp\/v2\/contributors-categories?post=38254"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}