![]() Here’s an open secret, businesses love it when data analyst presents data (useful information) in simple, plain and colorful graphs and charts. Those attractive illustrations that keep calling you to see the updates were not always catchy - It was basically complex raw figures and bulky texts.Īs research proves, humans are more likely to learn and acquire knowledge with the use of visuals. Tableau offers different selections of visuals to pick from their huge collection of unique visualization functions.ĭo you remember those flashy graphs and charts used to represent coronavirus statistics? It was pretty common back in 2020 I think everyone was used to seeing it. Enhanced data visualization functionsĭata visualization's major module represents data (figures, transactions, stats) with boxplots, diagrams, charts, tables, and any other form of illustration. To name a few: Salesforce, SQL Server, Presto, FreshBook, GraphQL, MailChimp, Dropbox, Basecamp, Amazon S3, Apache Hive, XML, Smartsheet, and many more. Tableau supports a vast collection of data connectors so you don’t need to migrate. ![]() To ease effectiveness, you need to download drivers to interact with the database and server details to connect to data connectors. From big data, relational databases, on cloud data to Excel spreadsheets, most of these can easily be deployed by copying the file from the source then pasting them onto your Tableau worksheet. Tableau offers numerous data sources functionalities to connect and import data from various external resources. From experience, it is challenging to always convert your resources with different tools (when need be I use Hevo Data) before deploying them to projects for analysis. Okay, how about AWS? Excel? How about external company sources? Well, it turns out a good number of us have valuable information stored in these sources. Raise your hand if you have data stored in a database? I guess everyone has that. With an informative, advanced but easy-to-use dashboard, users can deploy interactive models, apply varieties of formats, and for analysts who simultaneously work on multiple projects you can effectively transfer all the elements used in one workbook to another. The two researchers from Stanford who developed the software saw the difficulty in data analysis and wanted a seamless process of visualization that can be easily be used by all data scientists, irrespective of specialization. ![]() The Tableau software does more than the usual features you’d see in other data visualization tools. A good number of data and programming tools are equipped with dashboards where users can make quick changes, develop presets, and add customized formats and layouts, which helps increase the data analyst's speed, accuracy, and effectiveness. Screenshot by AuthorĪlright, so all modern technical tools come with a dashboard or as many also like to call it, a homepage. Having said that, here are five features of Tableau that will help you create better data visualization projects: The Multipurpose Dashboard ![]() With its friendly drag-and-drop interface, anyone can understand its functionalities. One special thing I love about Tableau is that you don’t need to have complex knowledge of Python or R to utilize this tool. Tableau is a data visualization software designed to query cloud databases, spreadsheets, machine learning algorithms, social databases, and other database advancements to create simple oriented graph-like data visualizations. The widely preferred tool for data visualization is Tableau. ![]() Presenting data in colorful graphs, charts, shapes, and plots improves the quality and accuracy of the datasets you are working with. Businesses transact data in huge quantities and it’s usually complex to analyze in raw format. Now, this is where data visualization comes into play. I had a six-month internship with a business intelligence agency, and from my experience with various companies, business intelligence is using advanced tools to analyze raw data and produce useful, broken down information to improve a company’s efficiency and also boost revenue. The world is becoming more data-driven, and many industries are moving to data scientists and mostly, business intelligence to manage their database to aid better business decisions. The world is evolving at a rapid rate, more than we can ever imagine. Visualization created by Tableau Software. ![]()
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