{"id":8026,"date":"2023-10-25T14:37:06","date_gmt":"2023-10-25T22:37:06","guid":{"rendered":"https:\/\/live-cometml.pantheonsite.io\/?p=8026"},"modified":"2025-04-24T17:05:15","modified_gmt":"2025-04-24T17:05:15","slug":"log-and-visualize-tabular-data-using-comet-data-panel","status":"publish","type":"post","link":"https:\/\/www.comet.com\/site\/blog\/log-and-visualize-tabular-data-using-comet-data-panel\/","title":{"rendered":"Log and Visualize Tabular Data Using Comet Data Panel"},"content":{"rendered":"\n<link rel=\"canonical\" href=\"https:\/\/www.comet.com\/site\/blog\/log-and-visualize-tabular-data-using-comet-data-panel\">\n\n\n\n<figure class=\"wp-block-image ly lz ma mb mc md lv lw paragraph-image\"><img decoding=\"async\" src=\"https:\/\/miro.medium.com\/v2\/resize:fit:700\/1*1OxjLRasKYjuL-aH-TBsDA.jpeg\" alt=\"\"\/><figcaption class=\"wp-element-caption\">Image source: <a class=\"af mp\" href=\"https:\/\/www.freepik.com\/free-photo\/close-up-hand-holding-futuristic-screen_19265131.htm#query=data%20panel&amp;position=15&amp;from_view=keyword&amp;track=ais\" target=\"_blank\" rel=\"noopener ugc nofollow\">Freepik<\/a><\/figcaption><\/figure>\n\n\n\n<p class=\"pw-post-body-paragraph mq mr fr be b ms mt mu mv mw mx my mz na nb nc nd ne nf ng nh ni nj nk nl nm fk bj\" id=\"5919\">Do you want to quickly log your data and visualize it in Comet with the new built-in data panel tool? If yes, you are in the right place.<\/p>\n\n\n\n<p class=\"pw-post-body-paragraph mq mr fr be b ms mt mu mv mw mx my mz na nb nc nd ne nf ng nh ni nj nk nl nm fk bj\" id=\"0ab7\">In this article, we will talk about how to quickly log tabular data(this means data that is displayed in columns or tables) such as generic tabular data (.dat), comma-separated values (.csv), tab-separated values (.tsv), Excel spreadsheet (.xls), Excel 2007 format (.xlsx), OpenDocument spreadsheet (.ods), OpenOffice 1.0 spreadsheet file (.sxc).<\/p>\n\n\n\n<p class=\"pw-post-body-paragraph mq mr fr be b ms mt mu mv mw mx my mz na nb nc nd ne nf ng nh ni nj nk nl nm fk bj\" id=\"9678\">If you don\u2019t already know about <a class=\"af mp\" href=\"https:\/\/www.comet.com\/site\/\" target=\"_blank\" rel=\"noopener ugc nofollow\">Comet<\/a>, it is basically a platform for experimentation that enables you to deploy, monitor, and track your machine-learning experiments. In other to log tabular data in Comet we will make use of the <code class=\"cw nn no np nq b\">experiment.log_table()<\/code> method. Let\u2019s dig a little bit deeper into this method.<\/p>\n\n\n\n<h1 class=\"wp-block-heading nr ns fr be nt nu nv nw nx ny nz oa ob oc od oe of og oh oi oj ok ol om on oo bj\" id=\"e7fa\"><code class=\"cw nn no np nq b\">Experiment.log_table<\/code><\/h1>\n\n\n\n<p class=\"pw-post-body-paragraph mq mr fr be b ms op mu mv mw oq my mz na or nc nd ne os ng nh ni ot nk nl nm fk bj\" id=\"d498\">This method helps to log tabular data in Comet including data such as CSV files, TSV files, and Pandas dataframes. It is very easy to use as it provides very simple arguments.<\/p>\n\n\n\n<pre class=\"wp-block-preformatted\"><span id=\"4513\" class=\"pc ns fr nq b bf pd pe l pf pg\" data-selectable-paragraph=\"\">log_table(filename, tabular_data=<span class=\"hljs-literal\">None<\/span>, headers=<span class=\"hljs-literal\">False<\/span>)<\/span><\/pre>\n\n\n\n<p class=\"pw-post-body-paragraph mq mr fr be b ms mt mu mv mw mx my mz na nb nc nd ne nf ng nh ni nj nk nl nm fk bj\" id=\"e2d7\">Where:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><code class=\"cw nn no np nq b\">filename<\/code> is the name of the file ending with \u201c.csv\u201d, or \u201c.tsv\u201d (for tablular data) or \u201c.json\u201d, \u201c.csv\u201d, \u201c.md\u201d, or \u201c.html\u201d (for Pandas dataframe data), and it is required.<\/li>\n\n\n\n<li><code class=\"cw nn no np nq b\">tabular_data<\/code> is a 2D tabular data or a Pandas dataframe, and it is also optional.<\/li>\n\n\n\n<li><code class=\"cw nn no np nq b\">headers<\/code> this is simply set to True or False if we want to add column headers or not.<\/li>\n<\/ul>\n\n\n\n<p class=\"pw-post-body-paragraph mq mr fr be b ms mt mu mv mw mx my mz na nb nc nd ne nf ng nh ni nj nk nl nm fk bj\" id=\"205e\">An example:<\/p>\n\n\n\n<pre class=\"wp-block-preformatted\"><span id=\"8b78\" class=\"pc ns fr nq b bf pd pe l pf pg\" data-selectable-paragraph=\"\">experiment.log_table(\"dataset.csv\",\n<span class=\"hljs-meta.prompt\">...<\/span> <span class=\"hljs-undefined\">                     [[<span class=\"hljs-string\">\"Name\"<\/span>, <span class=\"hljs-string\">\"Age\"<\/span>, <span class=\"hljs-string\">\"Married\"<\/span>],<\/span>\n<span class=\"hljs-meta.prompt\">...<\/span> <span class=\"hljs-undefined\">                      [<span class=\"hljs-string\">\"John\"<\/span>, <span class=\"hljs-number\">37<\/span>, <span class=\"hljs-literal\">True<\/span>],<\/span>\n<span class=\"hljs-meta.prompt\">...<\/span> <span class=\"hljs-undefined\">                      [<span class=\"hljs-string\">\"Mark\"<\/span>, <span class=\"hljs-number\">29<\/span>, <span class=\"hljs-literal\">False<\/span>]])<\/span><\/span><\/pre>\n\n\n\n<h1 class=\"wp-block-heading nr ns fr be nt nu nv nw nx ny nz oa ob oc od oe of og oh oi oj ok ol om on oo bj\" id=\"fbaf\">The Data panel<\/h1>\n\n\n\n<p class=\"pw-post-body-paragraph mq mr fr be b ms op mu mv mw oq my mz na or nc nd ne os ng nh ni ot nk nl nm fk bj\" id=\"67e9\">The primary job of the data panel is to visualize tabular data across our experiment. With the help of the panel, we can aggregate and display data on the panel&#8217;s page, filter the data, sort the data and so much more.<\/p>\n\n\n\n<p class=\"pw-post-body-paragraph mq mr fr be b ms mt mu mv mw mx my mz na nb nc nd ne nf ng nh ni nj nk nl nm fk bj\" id=\"8752\">In the panel, the logged data are identified using unique and distinctive names e.g if we logged <code class=\"cw nn no np nq b\">mnist_data.csv<\/code> in <code class=\"cw nn no np nq b\">experiment_1<\/code> and in <code class=\"cw nn no np nq b\">experiment_2<\/code>we will see a single choice to select <code class=\"cw nn no np nq b\">mnist_data.csv<\/code> in the data panel. The panel will read our logged CSV files, join them, and visualize them as a single table.<\/p>\n\n\n\n<p class=\"pw-post-body-paragraph mq mr fr be b ms mt mu mv mw mx my mz na nb nc nd ne nf ng nh ni nj nk nl nm fk bj\" id=\"0ec3\">The <strong class=\"be ps\">data selection<\/strong> portion will display all of the data that we log with <code class=\"cw nn no np nq b\">Experiment.log_table<\/code>. Since that is how the data is joined, it is crucial to utilize the same file name throughout all of your trials.<\/p>\n\n\n\n<p class=\"pw-post-body-paragraph mq mr fr be b ms mt mu mv mw mx my mz na nb nc nd ne nf ng nh ni nj nk nl nm fk bj\" id=\"5494\">The panel functions similarly to the <code class=\"cw nn no np nq b\">pandas.concat<\/code> function for aggregating data. We will be able to define the index of the data, the join type (inner\/outer), and whether we want to join the data by rows or columns, just like when joining two DataFrames. Comet will add an experiment id column to the join by rows that specifies where the row originated.<\/p>\n\n\n\n<p class=\"pw-post-body-paragraph mq mr fr be b ms mt mu mv mw mx my mz na nb nc nd ne nf ng nh ni nj nk nl nm fk bj\" id=\"79ad\">Now, let\u2019s walk through the whole process of logging tabular data and visualizing it in the data panel.<\/p>\n\n\n\n<h2 class=\"wp-block-heading pt ns fr be nt pu pv pw nx px py pz ob na qa qb qc ne qd qe qf ni qg qh qi qj bj\" id=\"e159\">Step one: Installation<\/h2>\n\n\n\n<p class=\"pw-post-body-paragraph mq mr fr be b ms op mu mv mw oq my mz na or nc nd ne os ng nh ni ot nk nl nm fk bj\" id=\"5545\">We will need to install Comet on our computer, if you don\u2019t have it installed by now, quickly use this command in the terminal: <code class=\"cw nn no np nq b\">pip install comet_ml<\/code> .<\/p>\n\n\n\n<p class=\"pw-post-body-paragraph mq mr fr be b ms mt mu mv mw mx my mz na nb nc nd ne nf ng nh ni nj nk nl nm fk bj\" id=\"070f\">We will create an account on <a class=\"af mp\" href=\"\/signup\" target=\"_blank\" rel=\"noopener ugc nofollow\">Comet<\/a> (you can also sign in with your Github account), so that we can use be able to interact with the platform and also get our unique API key, log in to the dashboard and create a new project.<\/p>\n\n\n\n<figure class=\"wp-block-image ou ov ow ox oy md lv lw paragraph-image\"><img decoding=\"async\" src=\"https:\/\/miro.medium.com\/v2\/resize:fit:700\/1*Q1ntwt12uzsIg26bVNPuVA.png\" alt=\"\"\/><\/figure>\n\n\n\n<h2 class=\"wp-block-heading pt ns fr be nt pu pv pw nx px py pz ob na qa qb qc ne qd qe qf ni qg qh qi qj bj\" id=\"72fc\">Step two: Start the Comet experiment and log the data<\/h2>\n\n\n\n<p class=\"pw-post-body-paragraph mq mr fr be b ms op mu mv mw oq my mz na or nc nd ne os ng nh ni ot nk nl nm fk bj\" id=\"c12d\">The next step after the successful installation import the necessary libraries and also import Comet into the notebook. This is a very simple tutorial, so we will only import Pandas.<\/p>\n\n\n\n<p class=\"pw-post-body-paragraph mq mr fr be b ms mt mu mv mw mx my mz na nb nc nd ne nf ng nh ni nj nk nl nm fk bj\" id=\"463c\">We will grab our API key, project name and our workspace name as this will be needed for the experiment to run.<\/p>\n\n\n\n<pre class=\"wp-block-preformatted\">import numpy as np\nimport pandas as pd\nimport comet_ml\n\nfrom comet_ml import Experiment\nfrom comet_ml.integration.pytorch import log_model\n\nexperiment = Experiment(\n  api_key = \"*****\",\n  project_name = \"testing\",\n  workspace=\"zenunicorn\"\n)<\/pre>\n\n\n\n<h2 class=\"wp-block-heading pt ns fr be nt pu pv pw nx px py pz ob na qa qb qc ne qd qe qf ni qg qh qi qj bj\" id=\"7843\">Step three: Import the data and log it to Comet<\/h2>\n\n\n\n<p class=\"pw-post-body-paragraph mq mr fr be b ms op mu mv mw oq my mz na or nc nd ne os ng nh ni ot nk nl nm fk bj\" id=\"50c0\">Using the Pandas <code class=\"cw nn no np nq b\">read_csv()<\/code> method we will import our data, for this tutorial we will be using a <code class=\"cw nn no np nq b\">netflix_stock_price.csv <\/code>dataset (<strong class=\"be ps\">Note<\/strong>: you are to use your dataset).<\/p>\n\n\n\n<p class=\"pw-post-body-paragraph mq mr fr be b ms mt mu mv mw mx my mz na nb nc nd ne nf ng nh ni nj nk nl nm fk bj\" id=\"5f2e\">We will insert the dataset filename into the <code class=\"cw nn no np nq b\">experiment.log_table()<\/code> method and log it to Comet.<\/p>\n\n\n\n<pre class=\"wp-block-preformatted\">#importing the dataset\ndataset = pd.read_csv(\"netflix_stock_price.csv\")\n\n# logging the dataset\nexperiment.log_table(\"netflix_stock_price.csv\")\n\n#ending the experiment\nexperiment.end()<\/pre>\n\n\n\n<h2 class=\"wp-block-heading pt ns fr be nt pu pv pw nx px py pz ob na qa qb qc ne qd qe qf ni qg qh qi qj bj\" id=\"e0e1\">Step four: Visualizing the tabular data<\/h2>\n\n\n\n<p class=\"pw-post-body-paragraph mq mr fr be b ms op mu mv mw oq my mz na or nc nd ne os ng nh ni ot nk nl nm fk bj\" id=\"89e8\">We will move over to the dashboard and click on our new experiment.<\/p>\n\n\n\n<figure class=\"wp-block-image ou ov ow ox oy md lv lw paragraph-image\"><img decoding=\"async\" src=\"https:\/\/miro.medium.com\/v2\/resize:fit:700\/1*Yg3K_qa09O88lZiyC8gFtw.png\" alt=\"\"\/><\/figure>\n\n\n\n<p class=\"pw-post-body-paragraph mq mr fr be b ms mt mu mv mw mx my mz na nb nc nd ne nf ng nh ni nj nk nl nm fk bj\" id=\"4bb2\">Click on the big blue button with the caption <strong class=\"be ps\">ADD<\/strong>, from the drop down we will click on the <strong class=\"be ps\">New Panel<\/strong> button.<\/p>\n\n\n\n<figure class=\"wp-block-image ou ov ow ox oy md lv lw paragraph-image\"><img decoding=\"async\" src=\"https:\/\/miro.medium.com\/v2\/resize:fit:700\/1*IZyPVkIagF70HcVKdRPOvw.png\" alt=\"\"\/><\/figure>\n\n\n\n<p class=\"pw-post-body-paragraph mq mr fr be b ms mt mu mv mw mx my mz na nb nc nd ne nf ng nh ni nj nk nl nm fk bj\" id=\"2e45\">After clicking on the <strong class=\"be ps\">New Panel<\/strong> button, we will scroll down and click on the <strong class=\"be ps\">Data Panel<\/strong> button.<\/p>\n\n\n\n<figure class=\"wp-block-image ou ov ow ox oy md lv lw paragraph-image\"><img decoding=\"async\" src=\"https:\/\/miro.medium.com\/v2\/resize:fit:700\/1*llYxI808mZa_8WSdNoEwWw.png\" alt=\"\"\/><\/figure>\n\n\n\n<p class=\"pw-post-body-paragraph mq mr fr be b ms mt mu mv mw mx my mz na nb nc nd ne nf ng nh ni nj nk nl nm fk bj\" id=\"7589\">From the <strong class=\"be ps\">Data Panel<\/strong> button, we will be directed to a page where we can select the data from the dropdown in the <strong class=\"be ps\">Data<\/strong> column.<\/p>\n\n\n\n<figure class=\"wp-block-image ou ov ow ox oy md lv lw paragraph-image\"><img decoding=\"async\" src=\"https:\/\/miro.medium.com\/v2\/resize:fit:700\/1*a_GAjcMQJNFvjcIIFhRfig.png\" alt=\"\"\/><\/figure>\n\n\n\n<p class=\"pw-post-body-paragraph mq mr fr be b ms mt mu mv mw mx my mz na nb nc nd ne nf ng nh ni nj nk nl nm fk bj\" id=\"0188\">A preview of the data will be displayed on the right-hand side, and we click on <strong class=\"be ps\">Done<\/strong>.<\/p>\n\n\n\n<figure class=\"wp-block-image ou ov ow ox oy md lv lw paragraph-image\"><img decoding=\"async\" src=\"https:\/\/miro.medium.com\/v2\/resize:fit:700\/1*Tk_VKRP_glnhSypof8t1pQ.png\" alt=\"\"\/><\/figure>\n\n\n\n<p class=\"pw-post-body-paragraph mq mr fr be b ms mt mu mv mw mx my mz na nb nc nd ne nf ng nh ni nj nk nl nm fk bj\" id=\"004d\">We can now head back to the experiment and we will see data displayed on the screen, where we can scroll and check all the columns in the data.<\/p>\n\n\n\n<figure class=\"wp-block-image ou ov ow ox oy md lv lw paragraph-image\"><img decoding=\"async\" src=\"https:\/\/miro.medium.com\/v2\/resize:fit:700\/1*sMB6JGP9CPsxncej0WDdAg.png\" alt=\"\"\/><\/figure>\n\n\n\n<p class=\"pw-post-body-paragraph mq mr fr be b ms mt mu mv mw mx my mz na nb nc nd ne nf ng nh ni nj nk nl nm fk bj\" id=\"59c7\">There is a couple of benefits that come with using the data panel, which include:<\/p>\n\n\n\n<ol class=\"wp-block-list\">\n<li>It facilitates the comparison of sample-level predictions across experiments.<\/li>\n\n\n\n<li>It is also useful to identify the precise data samples that our model might be incorrectly classifying.<\/li>\n<\/ol>\n\n\n\n<h1 class=\"wp-block-heading nr ns fr be nt nu nv nw nx ny nz oa ob oc od oe of og oh oi oj ok ol om on oo bj\" id=\"b6f8\">Conclusion<\/h1>\n\n\n\n<p class=\"pw-post-body-paragraph mq mr fr be b ms op mu mv mw oq my mz na or nc nd ne os ng nh ni ot nk nl nm fk bj\" id=\"44db\">In this short and straightforward article, we were able to look into what tabular data means, how to log it to Comet using the <code class=\"cw nn no np nq b\">experiment.log_table()<\/code> method and finally visualise it using the data panel.<\/p>\n\n\n\n<figure class=\"ou ov ow ox oy md\">\n<div class=\"ql ii l ee\">\n<div class=\"qu qn l\"><iframe loading=\"lazy\" class=\"eo n ff dy bg\" title=\"Log and visualize tabular data using Comet data panel\" src=\"https:\/\/cdn.embedly.com\/widgets\/media.html?src=https%3A%2F%2Fimgur.com%2Fa%2FaEHrD6D%2Fembed%3Fpub%3Dtrue%26ref%3Dhttps%253A%252F%252Fembed.ly%26w%3D900&amp;display_name=Imgur&amp;url=https%3A%2F%2Fimgur.com%2Fa%2FaEHrD6D&amp;image=https%3A%2F%2Fi.imgur.com%2FC02ccj8.jpg%3Ffbplay&amp;key=a19fcc184b9711e1b4764040d3dc5c07&amp;type=text%2Fhtml&amp;schema=imgur\" width=\"900\" height=\"510\" frameborder=\"0\" scrolling=\"no\" allowfullscreen=\"allowfullscreen\"><\/iframe><\/div>\n<\/div>\n<\/figure>\n\n\n\n<p class=\"pw-post-body-paragraph mq mr fr be b ms mt mu mv mw mx my mz na nb nc nd ne nf ng nh ni nj nk nl nm fk bj\" id=\"f824\"><strong class=\"be ps\">Resources<\/strong><\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><a class=\"af mp\" href=\"https:\/\/www.comet.com\/docs\/v2\/guides\/comet-dashboard\/more-in-projects\/#data-panel\" target=\"_blank\" rel=\"noopener ugc nofollow\">Comet Data panels<\/a>.<\/li>\n\n\n\n<li><a class=\"af mp\" href=\"https:\/\/www.comet.com\/docs\/v2\/api-and-sdk\/python-sdk\/reference\/Experiment\/#experimentlog_table\" target=\"_blank\" rel=\"noopener ugc nofollow\">Comet documentation \u2014 Log tables.<\/a><\/li>\n<\/ul>\n","protected":false},"excerpt":{"rendered":"<p>Do you want to quickly log your data and visualize it in Comet with the new built-in data panel tool? If yes, you are in the right place. In this article, we will talk about how to quickly log tabular data(this means data that is displayed in columns or tables) such as generic tabular data [&hellip;]<\/p>\n","protected":false},"author":8,"featured_media":0,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"customer_name":"","customer_description":"","customer_industry":"","customer_technologies":"","customer_logo":"","footnotes":""},"categories":[9,7],"tags":[],"coauthors":[143],"class_list":["post-8026","post","type-post","status-publish","format-standard","hentry","category-product","category-tutorials"],"yoast_head":"<!-- This site is optimized with the Yoast SEO Premium plugin v25.9 (Yoast SEO v25.9) - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>Log and Visualize Tabular Data Using Comet Data Panel - Comet<\/title>\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.comet.com\/site\/blog\/log-and-visualize-tabular-data-using-comet-data-panel\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Log and Visualize Tabular Data Using Comet Data Panel\" \/>\n<meta property=\"og:description\" content=\"Do you want to quickly log your data and visualize it in Comet with the new built-in data panel tool? If yes, you are in the right place. In this article, we will talk about how to quickly log tabular data(this means data that is displayed in columns or tables) such as generic tabular data [&hellip;]\" \/>\n<meta property=\"og:url\" content=\"https:\/\/www.comet.com\/site\/blog\/log-and-visualize-tabular-data-using-comet-data-panel\" \/>\n<meta property=\"og:site_name\" content=\"Comet\" \/>\n<meta property=\"article:publisher\" content=\"https:\/\/www.facebook.com\/cometdotml\" \/>\n<meta property=\"article:published_time\" content=\"2023-10-25T22:37:06+00:00\" \/>\n<meta property=\"article:modified_time\" content=\"2025-04-24T17:05:15+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/miro.medium.com\/v2\/resize:fit:700\/1*1OxjLRasKYjuL-aH-TBsDA.jpeg\" \/>\n<meta name=\"author\" content=\"Shittu Olumide Ayodeji\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:creator\" content=\"@Cometml\" \/>\n<meta name=\"twitter:site\" content=\"@Cometml\" \/>\n<meta name=\"twitter:label1\" content=\"Written by\" \/>\n\t<meta name=\"twitter:data1\" content=\"Shittu Olumide Ayodeji\" \/>\n\t<meta name=\"twitter:label2\" content=\"Est. reading time\" \/>\n\t<meta name=\"twitter:data2\" content=\"6 minutes\" \/>\n<!-- \/ Yoast SEO Premium plugin. -->","yoast_head_json":{"title":"Log and Visualize Tabular Data Using Comet Data Panel - Comet","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.comet.com\/site\/blog\/log-and-visualize-tabular-data-using-comet-data-panel","og_locale":"en_US","og_type":"article","og_title":"Log and Visualize Tabular Data Using Comet Data Panel","og_description":"Do you want to quickly log your data and visualize it in Comet with the new built-in data panel tool? If yes, you are in the right place. In this article, we will talk about how to quickly log tabular data(this means data that is displayed in columns or tables) such as generic tabular data [&hellip;]","og_url":"https:\/\/www.comet.com\/site\/blog\/log-and-visualize-tabular-data-using-comet-data-panel","og_site_name":"Comet","article_publisher":"https:\/\/www.facebook.com\/cometdotml","article_published_time":"2023-10-25T22:37:06+00:00","article_modified_time":"2025-04-24T17:05:15+00:00","og_image":[{"url":"https:\/\/miro.medium.com\/v2\/resize:fit:700\/1*1OxjLRasKYjuL-aH-TBsDA.jpeg","type":"","width":"","height":""}],"author":"Shittu Olumide Ayodeji","twitter_card":"summary_large_image","twitter_creator":"@Cometml","twitter_site":"@Cometml","twitter_misc":{"Written by":"Shittu Olumide Ayodeji","Est. reading time":"6 minutes"},"schema":{"@context":"https:\/\/schema.org","@graph":[{"@type":"Article","@id":"https:\/\/www.comet.com\/site\/blog\/log-and-visualize-tabular-data-using-comet-data-panel#article","isPartOf":{"@id":"https:\/\/www.comet.com\/site\/blog\/log-and-visualize-tabular-data-using-comet-data-panel\/"},"author":{"name":"Team Comet Digital","@id":"https:\/\/www.comet.com\/site\/#\/schema\/person\/6266601170c60a7a82b3e0043fbe8ddf"},"headline":"Log and Visualize Tabular Data Using Comet Data Panel","datePublished":"2023-10-25T22:37:06+00:00","dateModified":"2025-04-24T17:05:15+00:00","mainEntityOfPage":{"@id":"https:\/\/www.comet.com\/site\/blog\/log-and-visualize-tabular-data-using-comet-data-panel\/"},"wordCount":842,"publisher":{"@id":"https:\/\/www.comet.com\/site\/#organization"},"image":{"@id":"https:\/\/www.comet.com\/site\/blog\/log-and-visualize-tabular-data-using-comet-data-panel#primaryimage"},"thumbnailUrl":"https:\/\/miro.medium.com\/v2\/resize:fit:700\/1*1OxjLRasKYjuL-aH-TBsDA.jpeg","articleSection":["Product","Tutorials"],"inLanguage":"en-US"},{"@type":"WebPage","@id":"https:\/\/www.comet.com\/site\/blog\/log-and-visualize-tabular-data-using-comet-data-panel\/","url":"https:\/\/www.comet.com\/site\/blog\/log-and-visualize-tabular-data-using-comet-data-panel","name":"Log and Visualize Tabular Data Using Comet Data Panel - 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