Data: Majority of Minnesota ICE arrestees had no record



Federal agents arrested more than 3,700 Minnesota residents during the federal government’s surge into the state this winter, according to new data released through a federal lawsuit.

It’s the most nuanced data the federal government has released since the surge and includes the location where at least 3,789 people were arrested, their countries of origin and whether they have a criminal history. The data was released by the Deportation Data Project via a Freedom of Information Act lawsuit.

The data itself is likely incomplete. It included a number of duplicate arrests, which MPR News and APM Reports accounted for in its analysis. But because federal officials often failed to provide all the information for each arrest, it’s likely an undercount.

Federal officials said in public statements during the surge that they targeted the “worst of the worst.” Agency officials in early February reported agents had made more than 4,000 arrests during what they called Operation Metro Surge, including “murderers, pedophiles, rapists, gang members and terrorists.”

But the new data shows fewer than one-quarter of those arrested had a criminal conviction on their record. A little more than 13 percent of those arrested had pending criminal charges.

The vast majority were arrested in Minnesota for civil immigration violations. Some of those arrested with criminal histories or pending criminal charges were taken directly from jails, rather than through targeted enforcement actions, according to the data.

Although the released data doesn’t identify the exact charges against each individual, federal agencies did engage in high-profile arrests of defendants who had not yet been convicted during the surge, including those charged with drug crimes.

During Operation Metro Surge, federal agents arrested an average of about 33 people a day, according to an initial MPR News and APM Reports analysis. About 30 of those arrested were 16 or younger. One arrest involved a child who was just 2 or 3 years old. A handful were over 70 years old.

Arrests surged in the first few days after ICE agent Jonathan Ross killed Renee Macklin Good on Jan. 7 in south Minneapolis, according to the data. Administration officials, including then-U.S. Department of Homeland Security Secretary Kristi Noem, vowed to send hundreds more federal agents to the region after Good’s killing.

But then — despite more agents on the ground — arrests in the region appeared to decline in mid-January, according to the data. After federal agents killed Alex Pretti on Jan. 24, arrests dipped, briefly rose, then largely declined until federal officials announced the end of Operation Metro Surge in mid-February. By then, arrests on most days dwindled to fewer than a dozen.

Most of those arrested between Dec. 1 and March 10 came from Latin American countries. More than one-quarter of the arrestees came from Ecuador. Many of those arrested also came from Mexico, Guatemala and Honduras.

Although President Donald Trump publicly castigated Somali Americans, calling them “garbage,” the vast majority of Somali Americans in Minnesota are American citizens. Just 106 people from Somalia were arrested during the operation.

Federal agents were plagued with accusations of racial discrimination while in the Twin Cities.

The data shows about 35 percent of federal arrests during this period were "collateral" rather than targeted. That fits with anecdotal accounts of residents swept up by roving groups of federal agents at bus stops or on public sidewalks throughout the surge.



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Alteryx is a highly favored tool in data analytics due to its self-service capabilities and user-friendly interface. Many companies are actively seeking individuals proficient in Alteryx.

To establish a stable career in data analytics, consider acquiring skills in Alteryx. If you anticipate an Alteryx-related interview, a comprehensive Alteryx Interview Questions guide is available. This guide is valuable for both entry-level and experienced professionals preparing for interviews.

Now, let’s explore Alteryx interview questions categorized by experience levels.

Alteryx Interview Questions Most Frequently Asked with Answers

Basic AlterYX interview questions for freshers

1. What do you understand by Alteryx?

Ans: Alteryx is renowned as a trailblazer in data science and analytics, headquartered in Irvine, California, with a development center in Broomfield, Colorado. The company’s offerings, known for their user-friendly design, empower users to perform complex data analytics with ease, democratizing the process of data analysis across various sectors.

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2. Why would you recommend using Alteryx?

AnsAlteryx stands out for its intuitive interface, catering to users across varying degrees of expertise in business intelligence. It uniquely integrates data from diverse platforms into a single workflow, streamlining the process of data analysis and providing rapid results without the need for custom coding, making it invaluable for organizations seeking efficiency and agility in data handling.

3. What is an Analytics Gallery?

Ans: The Alteryx Analytics Gallery is a pioneering cloud-based platform for business analytics, designed with the ethos of bringing the convenience and connectivity of personal applications to business environments. It offers cloud-based workflow processing, enabling organizations to handle large datasets (Big Data) in a unified environment.

4. What Browsers Are Supported By The Analytics Gallery?

Ans: The Analytics Gallery is compatible with major browsers including Internet Explorer, Firefox, Safari, and Google Chrome, ensuring accessibility and ease of use across different user preferences.

5. What is the limit of app file size in Alteryx?

Ans: Currently, both applications and associated data in Alteryx are capped at a maximum size limit of 100MB.

6. What do you understand by the term Data Artisan?

Ans: A Data Artisan in the Alteryx context refers to a user who creates analytical applications using Alteryx Designer Desktop. These applications can then be shared within the Analytics Gallery, either publicly or privately. Data Artisans also enjoy the benefits extended to Gallery Members.

7. What is the process to run an app?

Ans: Running an app in Alteryx involves selecting the app, configuring it based on specific requirements like geocoding addresses, adding user files for demographic analysis, or choosing relevant data for your business. This customization allows for tailored analytics solutions.

8. What is the procedure to save an expression?

AnsIn Alteryx, expressions can be saved for repeated use, eliminating the need to recreate them from scratch. Users can craft expressions using variable selection and function insertion, and then save them for future use by choosing the ‘Saved Expression’ option.

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Intermediate Alteryx interview questions

9. What is the process to turn on and off the annotations in Alteryx?

Ans: Alteryx provides flexibility in managing annotations. Users can toggle annotations on or off per tool, per module, or globally, offering a range of control from specific tool comments to overarching module settings.

10. Distinguish between the CrossTab tool and the Transpose tool?

Ans: Both the CrossTab and Transpose tools in Alteryx alter data orientation, but in opposing manners. The Transpose tool shifts horizontal data to a vertical format, whereas the CrossTab tool summarizes data on a group field by rotating vertical data to a horizontal axis.

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11. What is the way to share an app in Alteryx?

AnsSharing an app in Alteryx involves various methods. Apps published in a Studio can be accessed by other Data Artisans of that Studio, shared publicly in the Gallery, or included in a Collection for specific group access.

12. How will you describe a Viewer?

Ans: A Viewer in the Alteryx Analytics Gallery context is a user who can access and run applications published in the Public Gallery, offering a broad access range to various analytics solutions.

13. How can you publish apps in the analytics gallery?

Ans: Publishing apps in Alteryx involves transferring them from the Alteryx Designer Desktop directly into a private Studio. This process is accessible to Alteryx Designer Desktop license holders and trial users, with the latter enjoying a 30-Day Free Trial of the Studio.

14. How to discover different users to add them to a given Collection?

Ans: To add users to an Alteryx Collection, one can utilize the ‘Search users’ field within the collection or invite unregistered users via email, expanding the collaboration and sharing capabilities within the Alteryx environment.

15. What kind of users are able to run the created private applications in a Collection?

Ans: Within a Collection in Alteryx, private applications can be accessed and run by Data Artisans and Members, whereas Viewers can see these applications but are not permitted to run them.

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16. What is/are the biggest misconception(s) about big data in your view?

AnsA significant misconception about big data is the overemphasis on its volume. The true value of data lies not just in its size but in the insights and information it yields, highlighting the importance of effective data analysis over mere data accumulation.

17. There’s a difference between data science and data intelligence – how do you see this?

Ans: Data science, data mining, and business intelligence are better seen as a continuum of activities rather than distinct, isolated fields. They collectively contribute to a comprehensive approach to data handling and analysis.

Advanced Alteryx interview questions

18. What are the main highlights and functionalities that Alteryx offer?

AnsAlteryx Designer, as Alteryx’s flagship tool, offers a comprehensive suite for data handling and analysis, including features for data input/output, preparation, joining, predictive analytics, spatial data handling, initial data analysis, and data parsing and transformation. This range of features makes Alteryx a versatile and powerful tool for a variety of data tasks.

19. Explain the concept of Analytic Application.

Ans: Analytic Applications in Alteryx are created by Data Artisans to address specific strategic analysis questions. These pre-packaged data and analytic integrations can be published to the Alteryx Analytics Gallery for broader access and use.

20. Explain the types of reports that can be produced by an app in Alteryx.

AnsDepending on their design, apps in Alteryx can generate reports in formats like Excel, Word, HTML, and PDF, containing diverse elements such as tables, texts, charts, and maps, providing comprehensive data insights.

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21. Explain the kinds of Spatial and Tabular Data Output that is generated by an app.

Ans:The output of an Alteryx app can vary based on its construction, potentially generating files in formats like MDB/ACCDB, CSV, DBF, MID/MIF, FlatFile, KML SHP, TAB, and YXDB, catering to a wide range of data representation needs.

22. How will you explain the concept of Member?

Ans: A Member in the Alteryx context is a user who can execute applications shared privately through Collections, with this status granted by a Data Artisan. Members also have the rights of a Viewer, allowing them to run applications in the Public Gallery.

23. Can you get support for chained apps?

Ans: Currently, Alteryx does not support the creation of chained apps, indicating a limitation in its application sequencing capabilities.

24. How can you allow users within your Alteryx tool?

Ans: Within Alteryx, users can be added to a Collection by checking an option that allows other users to share the collection. The Data Artisan who creates the Collection can monitor and manage new user additions, ensuring controlled access.

25. What kind of Apps Can you Add To an Alteryx Collection?

AnsIn Alteryx, only apps published within a Data Artisan’s Studio can be added to a Collection. These apps can also be shared in the Public Gallery, but apps from different Studios or the Public Gallery cannot be added to a personal Collection.

26. Explain the pros and cons of an Alteryx Designer?

AnsPros of Alteryx Designer include its exceptional data blending capabilities, compatibility with a wide range of databases and file types, and the unique ability to produce Tableau data extracts. It’s versatile, not limited to ETL processes, and seamlessly integrates with R for predictive modeling. Additionally, Alteryx excels in creating detailed reports with dynamic filters. However, its cons involve limitations in reading Tableau data extracts, a lack of robust support for special characters, occasional instability with concurrent user access, and a learning curve to fully understand all tools and statistical R packages.

27. What is it that the system is conveying when you get, “No Values found before GetMean()” message?

AnsWhen encountering the “No Values found before GetMean()” message, it suggests a need to review your workflow’s upstream configuration. If an Allocate Append tool is in use, ensure the spatial object selected is a polygon, not a point object. If the error originates from a Reporting Map tool, verify that Smart Tiling isn’t applied to a String field in thematic mapping.

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28. How to change the field type in Alteryx?

AnsThe most effective way to change a field type in Alteryx is through the Formula tool, which provides extensive control for custom data transformations. Alternatively, the Select tool and other tools with embedded select functions can be used to adjust field types, offering flexibility in data manipulation.

29. Why do you think a company should prefer Alteryx over other open or semi-open source apps?

AnsAlteryx stands out for several reasons, making it a preferable choice over open or semi-open source alternatives. Its strong reputation and positive ratings in Gartner’s Magic Quadrants for its analytical complexity, ease of use, customer experience, product quality, and top-notch support make it an industry leader in data analytics tools.

30. How to share an app in Alteryx via social media or an email?

Ans: To share an application through internet based life or email, first, you need to tap on the application to see its subtleties. At that point, click on the Share catch to share the application through various stages like Twitter, email, Google+, and Facebook.

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31. How to deploy analytics across your organisation using Alteryx?

Ans: Alteryx Server stands out for its simplicity in both setup and configuration, whether on-premises or cloud-based. This platform can be operational on the same day it’s set up. Post-deployment, users can establish schedules and automate tasks. The Alteryx APIs offer further advantages by allowing integration with other workflows, sharing applications, and more. This tool represents a quick and efficient method for implementing analytics throughout an organization.

32. Big data is causing enterprises to find new ways to leverage information sources to drive growth. What are your suggestions?

AnsIt’s crucial to prioritize analytical decision-making. Maintaining a record of decisions made based on various data types (big, small, and others) is essential. The key is to focus on how this data can be utilized for analytical decisions that have potential benefits.

33. How can you use big data analytics or large and complex datasets to predict future customer behaviors, trends, and outcomes?

AnsUtilizing a mix of internal, external, third-party, and cloud sources can enrich the understanding of customer behavior, social media sentiment, and outcome modeling. There’s a strong emphasis on making these insights accessible to business users, especially data analysts, to address their analytical needs effectively.

34. With the amount of data increasing exponentially how can businesses sustain information and analytics capability?

 AnsBusinesses must adapt to the rapid influx of data by focusing on market agility and productivity. According to Alteryx research, many business and analytical leaders are dissatisfied with the time it takes to extract necessary information from data. Integrating data from diverse sources, including data centers, cloud applications, and even desktop Excel spreadsheets, is a significant challenge. Alteryx addresses this by offering a user-friendly, code-free environment that simplifies data integration and accelerates processing.

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