[et_pb_section fb_built=”1″ admin_label=”section” _builder_version=”4.16″ global_colors_info=”{}” theme_builder_area=”post_content” da_is_popup=”off” da_exit_intent=”off” da_has_close=”on” da_alt_close=”off” da_dark_close=”off” da_not_modal=”on” da_is_singular=”off” da_with_loader=”off” da_has_shadow=”on” da_disable_devices=”off|off|off”][et_pb_row admin_label=”row” _builder_version=”4.16″ background_size=”initial” background_position=”top_left” background_repeat=”repeat” global_colors_info=”{}” theme_builder_area=”post_content”][et_pb_column type=”4_4″ _builder_version=”4.16″ custom_padding=”|||” global_colors_info=”{}” custom_padding__hover=”|||” theme_builder_area=”post_content”][et_pb_text _builder_version=”4.22.2″ _module_preset=”default” global_colors_info=”{}” theme_builder_area=”post_content”]<\/p>\n
When it comes to collecting, storing, and sharing data, Google Sheets is a great option. Its integration with other Google products, like Forms, Drive, Analytics, and BigQuery, makes it even more versatile. Free, flexible, and well-connected, tons of data moves through Sheets every day.<\/p>\n
However, many are unaware of the possibilities for data analysis in Sheets. In its beginnings, it may have been weaker than other spreadsheet programs, but Sheets has come a long way in a short time.<\/p>\n
In this article, you will learn about the features of Google Sheets that make it a great choice for analyzing your data. You will also learn about the different data analysis features available in Sheets, including tools, functions, charts, add-ons, and scripts.<\/p>\n
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In addition to the features directly related to data analysis, Sheets has many other features that make it an excellent choice.<\/p>\n
[\/et_pb_text][et_pb_text module_id=”data-analysis-tools-in-google-sheets” _builder_version=”4.22.2″ _module_preset=”default” global_colors_info=”{}” theme_builder_area=”post_content”]<\/p>\n
Regardless of the type of analysis you need to do, Sheets has multiple built-in tools and features that can help you. From tools that help you gain insight while exploring your data to add-ons that allow you to program advanced analytical methods, learn how to analyze your data with Google Sheets to make the most of it.<\/p>\n
If your data is stored within Sheets, functions like VLOOKUP and IMPORTRANGE<\/a> can help you bring your data together. However, Sheets also has a wide array of functions that allow you to import or link to data not stored within the spreadsheet, like IMPORTDATA<\/a> or IMPORTHTML<\/a>. You can now also connect directly to BigQuery<\/a>, and there are add-ons to connect to multiple sources of data, like Google Analytics or Salesforce<\/a>.<\/p>\n To bring in a range of cells from another spreadsheet, use IMPORTRANGE<\/a>. It takes the spreadsheet URL and the range as text, for example =IMPORTRANGE("spreadsheet_url", "Sheet1!A1:D100"), and copies those cells into the sheet where you write it.<\/p>\n However, there is a better way to combine, manage, and share your data: Sheetgo<\/a>, an AI-powered data automation platform. Instantly create connections between different types of files and select the data you want to transfer, merge, or split using filters and queries.<\/p>\n Sheets offers some built-in functions that can be used to clean any dataset, such as \u201cRemove duplicates\u201d or \u201cTrim spaces\u201d. However, it also offers more specific functions for different data types. These include many functions that can be used to clean up text, as well as many others that can help you convert data types, find errors, blank cells, etc.<\/p>\n Once your data is in Sheets and you\u2019ve cleaned it up for analysis, it\u2019s time to go exploring. Sheets has multiple tools that can help you get a feel for your data, including AI insights through Gemini in Google Sheets<\/a>, on Google Workspace plans that include Gemini. Based on the type of data in your spreadsheet \u2013 or on the data you have selected \u2013 Gemini can provide insights and suggest formulas and charts that might help you visualize your data.<\/p>\n Functions that are used universally to explore data \u2013 like sorting, filtering, and conditional formatting<\/a> \u2013 can be customized to fit your needs. When working collaboratively, Filter Views<\/a> are extremely effective when you need to explore your data without affecting other users. Pivot tables are another great way to explore your data, allowing you to quickly view your data from very different perspectives by focusing on what you want. To learn more, check out our article on how to create and use a pivot table in Google Sheets<\/a>.<\/p>\n Sparklines<\/a> and Quick Sums can help by quickly summarizing row or column data using common graphs and calculations. There are also many charts available, so you can visualize different types of data in multiple ways.<\/p>\n For more complex calculations and analytical techniques, you can choose from a variety of built-in functions, like LINEST, which performs the required calculations needed to carry out simple and multiple linear regression analyses<\/a> directly in Sheets.<\/p>\n Sheets has almost 500 functions that you can use directly from a cell, in many different categories, like Text, Database, Lookup, Filter, Logical, Math, Statistical, Financial, etc. However, if you can\u2019t find what you\u2019re looking for within the built-in functions, add-ons can help you expand your data analysis toolkit. Goal Seek<\/a>, for example, is a free add-on that allows you to carry out different types of what-if analyses in Sheets<\/a>.<\/p>\n [\/et_pb_text][et_pb_text module_id=”how-to-analyze-survey-data-in-google-she” _builder_version=”4.22.2″ _module_preset=”default” global_colors_info=”{}” theme_builder_area=”post_content”]<\/p>\n If you collect survey answers with Google Forms, link the form to Google Sheets<\/a> and every new response lands in its own row. From there, the same tools apply. A pivot table counts the answers for each option, COUNTIF and COUNTIFS<\/a> count how many people gave a certain answer, and AVERAGE returns the mean score of a rating question. A bar chart or a pie chart<\/a> makes the results easy to share. For open-text answers, Gemini in Google Sheets can summarize the responses and point out common themes.<\/p>\n [\/et_pb_text][et_pb_text module_id=”conclusion” _builder_version=”4.22.2″ _module_preset=”default” global_colors_info=”{}” theme_builder_area=”post_content”]<\/p>\n As you have seen, in addition to robust collaboration and automation features, the possibilities for data analysis are comprehensive, and more functionality is added with each upgrade. From data collection to final analysis, you can do it all from Sheets.<\/p>\n If you want smarter automation and data management, Sheetgo<\/a>, an AI-powered data automation platform, will allow you to take your data to the next level without having to sacrifice Sheets’ functionality. Try Sheetgo for free and start automating today.<\/p>\n You now know how to analyze your data using the tools and functions provided by Google Sheets, as well as by using some of the data analysis add-ons available in the Workspace Marketplace. You also know that you can easily connect your files and automate your business processes with Sheetgo’s AI-powered automations. To learn more about data analysis techniques in Google Sheets, check out our articles on Linear Regression in Google Sheets<\/a> and how to perform what-if analysis in Google Sheets<\/a>.<\/p>\n [\/et_pb_text][\/et_pb_column][\/et_pb_row][\/et_pb_section]<\/p>\n","protected":false},"excerpt":{"rendered":" Aprende a analizar datos en Google Sheets: limpia tus datos, expl\u00f3ralos con tablas din\u00e1micas y gr\u00e1ficos y analiza los resultados de encuestas.<\/p>","protected":false},"author":2,"featured_media":265726,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"_et_pb_use_builder":"on","_et_pb_old_content":"","_et_gb_content_width":"","footnotes":""},"categories":[37],"tags":[],"class_list":["post-265725","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-google-sheets-features"],"acf":[],"permalink_manager":null,"_links":{"self":[{"href":"https:\/\/www.sheetgo.com\/es\/wp-json\/wp\/v2\/posts\/265725","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.sheetgo.com\/es\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.sheetgo.com\/es\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.sheetgo.com\/es\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/www.sheetgo.com\/es\/wp-json\/wp\/v2\/comments?post=265725"}],"version-history":[{"count":0,"href":"https:\/\/www.sheetgo.com\/es\/wp-json\/wp\/v2\/posts\/265725\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.sheetgo.com\/es\/wp-json\/wp\/v2\/media\/265726"}],"wp:attachment":[{"href":"https:\/\/www.sheetgo.com\/es\/wp-json\/wp\/v2\/media?parent=265725"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.sheetgo.com\/es\/wp-json\/wp\/v2\/categories?post=265725"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.sheetgo.com\/es\/wp-json\/wp\/v2\/tags?post=265725"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}Explore your data<\/h3>\n
Use functions and add-ons for complex techniques<\/h3>\n
How to analyze survey data in Google Sheets<\/h2>\n
Conclusion<\/h2>\n