This leads into examining the Tableau Data Source Page, which is one of the most fundamental and important parts of Tableau. Begin by locating and opening Tableau Desktop in a Windows 10 work environment, and once done, explore the Tableau Desktop interface. In this 11-video course, learners will explore Tableau Desktop, which is data visualization software that allows users to see and understand data at a deeper level. The course concludes by demonstrating how to create calculated fields with regular expressions, then showing steps involved in extending the functionality of Tableau Prep Builder via Python or R scripts. Explore how to insert Aggregate steps to aggregate, group, or summarize data insert an Aggregate step to remove exact data set duplicates, and insert calculated fields into a flow. Discover how to perform manual group and replace operations by editing individual data values and selecting multiple similar values how to use the group and replace fuzzy match tools and how to create and apply custom data roles to clean data quickly. You will begin by exploring steps involved in applying cleaning operations by using Tableau Prep Builder, then learning how to use the Split tools to separate values into new fields. In this 10-video course, learners will discover how to perform a variety of different operations, including clean-up steps, data aggregation, and split, group, and replacement actions. Tableau Prep Builder is all about preparing your data source and getting it ready for deeper analysis. Learn how to use pivots to analyze and convert fields from columnar structure to row structure how to use a wildcard search to pivot large data sets or data that frequently changes over time and finally, observe how to pivot rows to columns when data is too normalized. Examine steps involved in joining data and working with unions in Tableau Prep Builder. Then observe how to filter data and use advanced filter options. Explore how to build and organize Flows by working with steps, and reorganize the layout of Flows. Begin by learning how to add Clean steps to start cleaning and performing operations on data, then work with fields and manage their properties in Tableau Prep Builder. In this 11-video course, discover how to add steps to clean, union, join, and pivot your data, apply a variety of different filters, and use Flow pane and Flow Navigator. Conclude the course by learning how to import flow files and steps in Tableau Prep Builder.įlows are made up of fields and steps, and Tableau Prep Builder offers a huge variety of powerful tools for cleaning, preparing, and manipulating your data. Discover how to change data types to define and correct data for any given scenario, and save standard and packaged flow files, using. This leads learners into observing how to use the Profile pane in Tableau Prep Builder to configure data at Input step, and also how to configure field settings at Input step in Tableau Prep Builder. Learn how to connect to data and add data to the Flow pane connect to a server-based data source in Tableau Prep Builder and how to use the Data Interpreter tool to clean files. Begin the course by locating and opening Tableau Prep Builder in a Windows 10 work environment, then explore the interface. Its core principle is creating flows, based on a series of highly visual steps to process and prepare data. Leverage table calculations (moving average, year over year growth, LOD (Level of Detail), etc.In this 10-video course, you will explore Tableau Prep Builder, a tool for preparing and cleaning data before you start to analyze it. Perform statistical analysis in Tableau using R Use a multitude of charts (pie, bar, stacked bar, line, scatter plots, dual axis, histograms, heat maps, tree maps, highlight tables, box and whisker, etc.) What you'll learn Connect to various data sources such as relational databases (Microsoft SQL Server, MySQL), non-relational databases (NoSQL such as MongoDB, Cassandra), write your own custom SQL, join and blend data sources, etc. Pro Tableau demonstrates the power of visual analytics and teaches you how to: Connect to various data sources such as spreadsheets, text files, relational databases (Microsoft SQL Server, MySQL, etc.), non-relational databases (NoSQL such as MongoDB, Cassandra), R data files, etc. This book will help those familiar with Tableau software chart their journey to being a visualization expert. Use statistics and data mining to make compelling and interactive dashboards. Leverage the power of visualization in business intelligence and data science to make quicker and better decisions.
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