To make a query in Access desktop databases ask for criteria when you run it, create a parameter query. This allows you to use the same query over and over without having to constantly open it in Design view to edit the criteria. Show
Note: This article doesn't apply to Access web apps. Understanding the terminologyBefore getting into the step-by-step below, it’s helpful to understand these terms:
For more information about the types of queries mentioned above, see Introduction to queries. Create a parameter queryCreating a parameter is similar to adding a normal criterion to a query:
When you run the query, the prompt appears without the square brackets.
Fill in the value you’re looking for, and then click OK. You can use multiple parameters in a criterion. For example, Between [Enter the start date:] And [Enter the end date:] will generate two prompts when you run the query.
Specify parameter data typesYou can set the parameter to accept only a certain type of data. It is especially important to specify the data type for numeric, currency, or date/time data, because then, people will see a more helpful error message if they enter the wrong type of data, such as entering text when a currency value is expected. Note: If a parameter is configured to accept text data, any input is interpreted as text, and no error message is displayed. To specify the data type for parameters in a query:
Add a parameter to a union querySince you can’t view a union query in the query design grid, you’ll need to do things a little differently:
For more information about union queries, see Use a union query to view a unified result from multiple queries. Combine parameters with wildcards for more flexibilityAs with normal criteria, you can combine parameters with the Like keyword and wildcard characters to match a wider range of items. For example, you might want your query to prompt for a country/region of origin, but to match any value that contains the parameter string. To do this:
When you run the parameter query, the prompt appears in the dialog box without the square brackets, and without the Like keyword or wildcard characters: After you enter the parameter, the query returns values that contain the parameter string. For example, the parameter string us returns items where the parameter field has a value of Australia and items where the value is USA. For more information about wildcards, see Using Wildcard characters as criteria. Return items that don’t match the parameterInstead of having the query return items that match your parameter, you might want the query to return items that don’t match it. For example, you might want to prompt for a year and then return items where the year is greater than the one you entered. To do this, type a comparison operator to the left of the first square bracket that encloses the parameter prompt, for example,>[Enter a year:]. Video: Use parameters in queriesUsing a parameter in a query is as easy as creating a query that uses criteria. You can design a query to prompt you for one piece of information, such as a part number, or for more than one piece of information, such as two dates. For each parameter, a parameter query displays a separate dialog box that prompts you for a value for that parameter. Watch this video to learn more about creating parameters in queries.
What smart questions did you ask in data analytics?Data analysis process questions. Explain how you would estimate … ? ... . What is your process for cleaning data? ... . How do you explain technical concepts to a non-technical audience? ... . Tell me about a time when you got unexpected results. ... . How would you go about measuring the performance of our company?. Which of the following questions do data analysts ask to make sure they will engage their audience select all that apply?To engage their audience, data analysts ask about what roles the people in the audience play, their stake in the project, and what they hope to do with the data insights.
In which step of the data analysis process would an analyst ask questions such as what data errors might get in the way of my analysis?In which step of the data analysis process would an analyst ask questions such as, "What data errors might get in the way of my analysis?" or "How can I clean my data so the information I have is consistent?" A data analyst has entered the analyze step of the data analysis process.
How does asking detailed specific questions benefit you when planning for a project can vague or unclear questions harm a project?By asking detailed questions you can avoid ambiguity, ensure the aims are clearly articulated, ensure the project will deliver on those aims and avoid one of the commonest causes of problems in projects; assumptions made by the stakeholders.
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