0
yes
Wiki User
∙ 12y ago
Add your answer:
Earn +20 pts
What are the objectives of data processing?
The objective of data processing is to convert data into knowledge. Data processing can involve sorting, validating, and summarizing data into useful information.
What types of data will form when using a crosstab query?
"row heading"
How do you create a Crosstab Query?
A crosstab query produces data in a table form, with headings for rows and for columns and numerical data for the main part of the table. It is similar to a pivot table. You need to have appropriate data for a crosstab query. It cannot be done with just any set of data. So for example you could have amounts of sales, in different shops, in different months of the year. The shop and the months are not numeric, so one acts as headings for the rows, and the other for the columns. The actual sales would be the field chosen for the value option within the design of the query. So say you chose the shops for the rows and months for the columns, then the end result would be a table which for each shop would have a value for each month, with data totalled up. In the original table the data would not have been totalled, but can be in the query. You could also choose to show the averages or a count of the sales for each shop in each month. Like pivot tables in Excel, crosstab queries in Access can be very useful for presenting data in a summarised form produced in a table.
When would you use a crosstab query instead of a select query?
A crosstab query is a type of select query, but it displays the data in a different layout. A crosstab query can present data in a tabular layout which can sometimes be easier to follow than the way a standard select query does, although they will both show the same data. Say you were counting the amount of males and females that worked in each department of a company. A crosstab query will present the data in a table, maybe having the male and female headings at the top over 2 columns and the names of the departments down the side for each row. A Select query will take more lines to present the data. So for those kinds of situations using a crosstab query is better.A crosstab query is a type of select query, but it displays the data in a different layout. A crosstab query can present data in a tabular layout which can sometimes be easier to follow than the way a standard select query does, although they will both show the same data. Say you were counting the amount of males and females that worked in each department of a company. A crosstab query will present the data in a table, maybe having the male and female headings at the top over 2 columns and the names of the departments down the side for each row. A Select query will take more lines to present the data. So for those kinds of situations using a crosstab query is better.A crosstab query is a type of select query, but it displays the data in a different layout. A crosstab query can present data in a tabular layout which can sometimes be easier to follow than the way a standard select query does, although they will both show the same data. Say you were counting the amount of males and females that worked in each department of a company. A crosstab query will present the data in a table, maybe having the male and female headings at the top over 2 columns and the names of the departments down the side for each row. A Select query will take more lines to present the data. So for those kinds of situations using a crosstab query is better.A crosstab query is a type of select query, but it displays the data in a different layout. A crosstab query can present data in a tabular layout which can sometimes be easier to follow than the way a standard select query does, although they will both show the same data. Say you were counting the amount of males and females that worked in each department of a company. A crosstab query will present the data in a table, maybe having the male and female headings at the top over 2 columns and the names of the departments down the side for each row. A Select query will take more lines to present the data. So for those kinds of situations using a crosstab query is better.A crosstab query is a type of select query, but it displays the data in a different layout. A crosstab query can present data in a tabular layout which can sometimes be easier to follow than the way a standard select query does, although they will both show the same data. Say you were counting the amount of males and females that worked in each department of a company. A crosstab query will present the data in a table, maybe having the male and female headings at the top over 2 columns and the names of the departments down the side for each row. A Select query will take more lines to present the data. So for those kinds of situations using a crosstab query is better.A crosstab query is a type of select query, but it displays the data in a different layout. A crosstab query can present data in a tabular layout which can sometimes be easier to follow than the way a standard select query does, although they will both show the same data. Say you were counting the amount of males and females that worked in each department of a company. A crosstab query will present the data in a table, maybe having the male and female headings at the top over 2 columns and the names of the departments down the side for each row. A Select query will take more lines to present the data. So for those kinds of situations using a crosstab query is better.A crosstab query is a type of select query, but it displays the data in a different layout. A crosstab query can present data in a tabular layout which can sometimes be easier to follow than the way a standard select query does, although they will both show the same data. Say you were counting the amount of males and females that worked in each department of a company. A crosstab query will present the data in a table, maybe having the male and female headings at the top over 2 columns and the names of the departments down the side for each row. A Select query will take more lines to present the data. So for those kinds of situations using a crosstab query is better.A crosstab query is a type of select query, but it displays the data in a different layout. A crosstab query can present data in a tabular layout which can sometimes be easier to follow than the way a standard select query does, although they will both show the same data. Say you were counting the amount of males and females that worked in each department of a company. A crosstab query will present the data in a table, maybe having the male and female headings at the top over 2 columns and the names of the departments down the side for each row. A Select query will take more lines to present the data. So for those kinds of situations using a crosstab query is better.A crosstab query is a type of select query, but it displays the data in a different layout. A crosstab query can present data in a tabular layout which can sometimes be easier to follow than the way a standard select query does, although they will both show the same data. Say you were counting the amount of males and females that worked in each department of a company. A crosstab query will present the data in a table, maybe having the male and female headings at the top over 2 columns and the names of the departments down the side for each row. A Select query will take more lines to present the data. So for those kinds of situations using a crosstab query is better.A crosstab query is a type of select query, but it displays the data in a different layout. A crosstab query can present data in a tabular layout which can sometimes be easier to follow than the way a standard select query does, although they will both show the same data. Say you were counting the amount of males and females that worked in each department of a company. A crosstab query will present the data in a table, maybe having the male and female headings at the top over 2 columns and the names of the departments down the side for each row. A Select query will take more lines to present the data. So for those kinds of situations using a crosstab query is better.A crosstab query is a type of select query, but it displays the data in a different layout. A crosstab query can present data in a tabular layout which can sometimes be easier to follow than the way a standard select query does, although they will both show the same data. Say you were counting the amount of males and females that worked in each department of a company. A crosstab query will present the data in a table, maybe having the male and female headings at the top over 2 columns and the names of the departments down the side for each row. A Select query will take more lines to present the data. So for those kinds of situations using a crosstab query is better.
Why are Database queries useful?
Database queries are useful because they enable users to retrieve specific information from databases quickly and efficiently by filtering and sorting data based on desired criteria. This allows for targeted retrieval of information, reducing the time and effort needed to access relevant data. Additionally, queries can help optimize database performance by minimizing the amount of data that needs to be processed.
What is a crosstab query?
a query that calculates a statistic for data that is grouped by two diffrent type of information
What is tabulating data?
Summarizing collected data into table
Do queries store data?
No. Only your tables store data. Queries, Forms, Reports and Pages can just do things like display the data and manipulate it but, the data is always stored in the tables. When you run a query, open a report or a form, the data you see is ultimately coming from underlying tables. You can do queries on queries, or reports on queries or forms on queries but the original data always comes from the tables.
What are queries used for in database?
Queries are used in databases to retrieve specific information from the database based on certain criteria. They allow users to search, filter, and manipulate data to generate meaningful results. Queries help users analyze data, make decisions, and extract useful insights from the database.
What are the methods of summarizing data?
frequence distrubution
Why is a data base useful?
A database is useful because it provides a centralized system for storing, managing, and retrieving data efficiently. It helps maintain data integrity, enables data sharing among multiple users, enhances data security through access control, and supports complex queries and analysis.
What are the advantages and disadvantages of descriptive statistics?
Descriptive statistics are very useful for showing and summarizing data when any complex models are nit needed. However, it does not explain the relationship between two or more pieces of data and it does not leave any room to explain randomness in the data.
