Importing data and modifying fields

You've just landed an exciting new role as an Analyst for a New York real estate company. Your supervisor would like a report on the most recent sales of NYC properties, and you have received a dataset that shows location, sale dates, property information, sale price, and much more.

The data, however, appears to be pretty messy… let's get started on getting to know our data!

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Data Preparation in Alteryx

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Data Preparation in Alteryx

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Expand your data preparation skills in Alteryx by uncovering ways to filter data and write expressions to create subsets of data. Basic and chained filters will be explored, along with custom filters, to get right to the data you need. You’ll learn best practices in writing expressions, including understanding the differences between AND and OR statements, along with helpful tips for correct syntax.

Exercise 1: Filtering and Using Expressions Exercise 2: Understanding filter expressions Exercise 3: AND, OR and more!Exercise 4: Basic and chained filters Exercise 5: Custom filters and expressions Exercise 6: Combining sort and unique tools

Go further into the layers of data preparation by diving deeper into various formulas and how they can be quickly applied in Alteryx. Discover the wealth of pre-structured formulas available and ready to use in the Formula tool, along with techniques for writing efficient expressions based on data types. You’ll learn the difference between length and position-based formulas and methods to update and create new fields.

Exercise 1: Applying Formulas in Alteryx Exercise 2: Making the best expression Exercise 3: Formulas and best practices Exercise 4: Existing fields and new fields Exercise 5: Length and position-based formulas Exercise 6: Contains formula and flags

Explore the processes of sampling and summarizing your data, which are essential aspects of data preparation. You’ll learn many options for sampling data, such as finding the top 10 records or obtaining the first N percentage of data, and much more with the Sample tool. You’ll then expand your knowledge of summarizing data using numerical methods like sum, average, and median, as well as string functions like grouping by specific fields hierarchically in the Summarize tool.

Exercise 1: Sampling and Summarizing Exercise 2: Applying the right concepts Exercise 3: Grouping insights and creating output Exercise 4: Top 10 and average sale prices Exercise 5: Summary and data output Exercise 6: Input data and sampling top 25%Exercise 7: Congratulations!