As most of us already use drop down lists through data validation but sometimes it makes much more sense to create a dependent drop down lists e.g. you create a drop down list in cell A1 and as you choose..
You know that if you ask people to fill out a spreadsheet they will fill it out in a variety of ways. It’s
almost as they had a meeting to discuss all the possibilities and then proceeded to show you exactly
how many different ways the same information can be entered!
This document provides instructions on how to use the fill command in StarOffice Calc to automatically copy formulas, values, and generate data series. It explains that the fill command can be used to copy the contents of one cell into a range of cells by highlighting the range and using the fill down or fill left options. It also describes how to generate linear, growth, and date/time series by selecting a range, using the fill series command, and specifying the start value, increment, and direction. Examples provided include copying a formula, generating numbers with an increment of 3, and listing Sundays between two dates.
Normalization is a process that organizes data to minimize redundancy and dependency. It divides tables to relate data without duplicating information. There are three common normal forms. The first normal form structures data into tables without repeating groups. The second normal form removes attributes not dependent on the primary key. The third normal form removes transitive dependencies so each non-key attribute depends directly on the primary key. Examples show how data can be normalized through multiple forms to eliminate anomalies and inconsistencies.
Database normalization is the process of refining the data in accordance with a series of normal forms. This is done to reduce data redundancy and improve data integrity. This process divides large tables into small tables and links them using relationships.
Here is the link of full article: https://www.support.dbagenesis.com/post/database-normalization
The document discusses database normalization. The goals of normalization are to eliminate redundant data and ensure related data is stored together. It describes the various normal forms including 1NF, 2NF, 3NF and 4NF. 1NF focuses on atomic values and unique identifiers. 2NF builds on 1NF by removing subsets of data that apply to multiple rows. 3NF then removes columns not dependent on the primary key. The benefits of normalization include greater organization, less redundancy, consistency and flexibility.
This document provides an introduction and overview of Microsoft Excel. It explains that Excel is a spreadsheet program used to organize and analyze data. It describes the basic components of an Excel workbook, including worksheets, columns, rows, and cells. The document also provides instructions for common Excel tasks like formatting text, inserting rows and columns, sorting data, using cell references in formulas, and applying functions. It includes the syntax for various functions and shortcuts keys in Excel.
The document provides instructions for backing up, running reports, and performing inventory in the Destiny library management system. It states that the Douglas County School District performs automatic backups centrally for all media centers using Destiny 10.5. Instructions are provided for backing up the database manually. Reports like circulation statistics and inventory can be run by clicking the Reports tab and selecting options from the left sidebar. Inventory involves scanning all items and uploading the data, then running reports on missing or out of order items. The document also demonstrates how to print barcodes, labels, and create custom indexes and bibliographies.
You know that if you ask people to fill out a spreadsheet they will fill it out in a variety of ways. It’s
almost as they had a meeting to discuss all the possibilities and then proceeded to show you exactly
how many different ways the same information can be entered!
This document provides instructions on how to use the fill command in StarOffice Calc to automatically copy formulas, values, and generate data series. It explains that the fill command can be used to copy the contents of one cell into a range of cells by highlighting the range and using the fill down or fill left options. It also describes how to generate linear, growth, and date/time series by selecting a range, using the fill series command, and specifying the start value, increment, and direction. Examples provided include copying a formula, generating numbers with an increment of 3, and listing Sundays between two dates.
Normalization is a process that organizes data to minimize redundancy and dependency. It divides tables to relate data without duplicating information. There are three common normal forms. The first normal form structures data into tables without repeating groups. The second normal form removes attributes not dependent on the primary key. The third normal form removes transitive dependencies so each non-key attribute depends directly on the primary key. Examples show how data can be normalized through multiple forms to eliminate anomalies and inconsistencies.
Database normalization is the process of refining the data in accordance with a series of normal forms. This is done to reduce data redundancy and improve data integrity. This process divides large tables into small tables and links them using relationships.
Here is the link of full article: https://www.support.dbagenesis.com/post/database-normalization
The document discusses database normalization. The goals of normalization are to eliminate redundant data and ensure related data is stored together. It describes the various normal forms including 1NF, 2NF, 3NF and 4NF. 1NF focuses on atomic values and unique identifiers. 2NF builds on 1NF by removing subsets of data that apply to multiple rows. 3NF then removes columns not dependent on the primary key. The benefits of normalization include greater organization, less redundancy, consistency and flexibility.
This document provides an introduction and overview of Microsoft Excel. It explains that Excel is a spreadsheet program used to organize and analyze data. It describes the basic components of an Excel workbook, including worksheets, columns, rows, and cells. The document also provides instructions for common Excel tasks like formatting text, inserting rows and columns, sorting data, using cell references in formulas, and applying functions. It includes the syntax for various functions and shortcuts keys in Excel.
The document provides instructions for backing up, running reports, and performing inventory in the Destiny library management system. It states that the Douglas County School District performs automatic backups centrally for all media centers using Destiny 10.5. Instructions are provided for backing up the database manually. Reports like circulation statistics and inventory can be run by clicking the Reports tab and selecting options from the left sidebar. Inventory involves scanning all items and uploading the data, then running reports on missing or out of order items. The document also demonstrates how to print barcodes, labels, and create custom indexes and bibliographies.
This document provides an overview of Boyce-Codd normal form (BCNF) which is a type of database normalization. It explains that BCNF was developed in 1974 and aims to eliminate redundant data and ensure data dependencies make logical sense. The document outlines the five normal forms including 1NF, 2NF, 3NF, BCNF, and 4NF. It provides examples of converting non-BCNF tables into BCNF by identifying and removing overlapping candidate keys and grouping remaining items into separate tables based on functional dependencies.
This document discusses database normalization and different normal forms including 1NF, 2NF, 3NF, and BCNF. It defines anomalies like insertion, update, and deletion anomalies that can occur when data is not normalized. Examples are provided to illustrate the different normal forms and how denormalizing data can lead to anomalies. The key aspects of each normal form like removing repeating groups (1NF), removing functional dependencies on non-prime attributes (2NF), and removing transitive dependencies (3NF, BCNF) are explained.
Excel Tutorials - Finding & Removing the Duplicate ValuesMerve Nur Taş
Excel Tutorials with screenshots.
Useful Tricks: Learn how to find and remove the duplicate values in Excel.
Duplicate cells in excel
Filtering data
Microsoft Excel for Mac (2016 Version)
Normalization is a process used to organize data in a database. It involves breaking tables into smaller, more manageable pieces to reduce data redundancy and improve data integrity. There are several normal forms including 1NF, 2NF, 3NF, BCNF, 4NF and 5NF. The document provides examples of tables and how they can be decomposed into different normal forms to eliminate anomalies and redundancy through the creation of additional tables and establishing primary keys.
There are several tabs and menu options that provide access to different types of records in list views. List views display records in columns and rows, and allow users to add, view, and edit individual records. Users can customize list views by adjusting options like the number of records displayed per page and which columns to include. Filters can be applied to lists using operators like wildcards and relational symbols to view subsets of records.
Database normalization is the process of organizing data in tables to minimize redundancy and dependency. It involves splitting tables into smaller tables and defining relationships between them using primary and foreign keys. There are various normal forms that quantify how normalized a database is, with third normal form being sufficient for most applications. Edgar Codd first proposed normalization and the first normal form, which requires that tables have a primary key and each attribute depend on the key. Higher normal forms like second and third further reduce redundancy between columns and tables.
The document discusses database normalization and various normal forms including first normal form (1NF), second normal form (2NF), third normal form (3NF), and Boyce-Codd normal form (BCNF). It provides examples of tables that are and are not in different normal forms and describes how to decompose tables to higher normal forms by removing functional dependencies between non-key attributes or attributes within a candidate key.
Entity relationship diagram - Concept on normalizationSatya Pal
The document discusses database normalization from the entity relationship diagram stage through fifth normal form. It describes how entities from the ER diagram become tables and how relationships are modeled. Anomalies in unnormalized relations are explained, along with how different normal forms address these issues. The document also discusses denormalization techniques used to improve query performance and some limitations of normalization.
This document provides instructions for inserting and formatting tables in Microsoft Word 2007. It discusses how to insert tables, format cells and rows, merge and split cells, apply styles, adjust alignment and formatting, and create a sample college timetable with a schedule for Thursday using table features. The instructions are accompanied by screenshots to illustrate the table tools and formatting options in Word 2007.
The document discusses different normal forms for organizing data in a database, including 1NF, 2NF, 3NF, and BCNF. 1NF requires attributes to be atomic and no repeating groups. 2NF removes partial dependencies by requiring non-prime attributes to depend on the whole primary key. 3NF removes non-key attributes that are not dependent on the primary key. BCNF is stronger than 3NF and requires all determinants to be candidate keys. Examples are provided to illustrate how relations can be decomposed to satisfy 3NF and BCNF.
The document discusses database normalization. Normalization is the process of organizing data to avoid data redundancy and inconsistencies. It discusses the three normal forms - 1st normal form requires each table column contain atomic values, 2nd normal form requires columns depend on the whole primary key, and 3rd normal form removes transitive dependencies. The document also contrasts top-down design, which identifies entity types before attributes, versus bottom-up design, which groups attributes into entities.
This document discusses various SQL join operations - inner join, left join, right join, and full outer join. It provides the syntax for each join and explains how each join type handles matching and non-matching rows from the left and right tables. Examples are given showing how to write SQL queries using inner, left, right, and full outer joins. The document also briefly introduces the SQL UNION operator for combining result sets from multiple SELECT statements.
This document contains 25 multiple choice questions about features and functions in Excel 2010. The questions cover topics like naming cells, creating charts, using formulas, filtering, sorting, formatting cells and more. For each question there are 4 possible answer choices to select from.
The document discusses database normalization. It begins with a brief history of normalization, introduced by Edgar Codd in 1970. It then defines database normalization as removing redundant data to improve storage efficiency, data integrity, and scalability. The document provides examples to illustrate the concepts of first, second, and third normal forms. It shows how a book database can be normalized by separating data into separate tables for authors, subjects, and books and defining relationships between the tables using primary and foreign keys. This normalization process addresses issues like redundant data, data integrity, and scalability.
The document contains 22 multiple choice questions about Excel. The questions cover a range of topics including functions, formatting, charts, pictures, printing, and more. Each question is followed by 5 possible answer choices.
The document contains 17 multiple choice questions about Excel 2010 functions and features. The questions cover topics like hyperlinking between sheets, merging and unmerging cells, formatting shapes, filtering data, chart creation, and more. For each question there are 4 possible answer choices listed and the correct answer is indicated. The questions appear to be part of a test or assessment on basic to intermediate Excel skills.
This document provides tips and tricks for various tools and functions in MapInfo Professional, including how to add leading zeros, convert between coordinate systems, set default browser views, perform wildcard searches and SQL queries, join tables, and more. It addresses several common questions users may have about utilizing different aspects of the software.
Data validation in Excel allows users to restrict the type of data entered into cells. This includes creating drop-down lists, restricting dates or numbers, and custom validation rules. The document provides steps to apply data validation to a cell by selecting the cell, going to the data validation menu, choosing the type of validation such as a list, selecting the source of the list options, and setting input and error messages. Data validation helps ensure accurate data entry by limiting users to valid options.
Data validation in Excel allows users to restrict the type of data entered into cells. This includes creating drop-down lists, restricting dates or numbers, and defining custom rules. To apply data validation, select the cell and specify the allowed values or type of data from the Data Validation menu. Messages can also be set to guide or notify users about the valid entry requirements. Data validation helps ensure accurate and consistent data entry.
Microsoft Office Excel 2013 Tutorials 24- Working with Dropdown listsMustansir Dahodwala
Simple and Collaborative Slideshow for
Working with Dropdown lists in Excel 2013
If the video does not work,Please download and check (Sorry if the inconvenience is caused)
Hope you like it,
Free to download and share,
Check our Other Tutorials onto other Microsoft Office Softwares and further more into miscellaneous slideshows.
Data validation in Microsoft Excel allows users to restrict the type of data entered into cells. This includes creating drop down lists, restricting dates, numbers, text, and custom validation rules. When applied to a cell, data validation ensures only the defined options can be selected rather than invalid or confusing entries. To set up data validation, select the cell and choose data validation from the Data tab. Options can be set as a list by selecting the predefined list of valid entries. This helps guide users to make accurate selections.
This document provides an overview of Boyce-Codd normal form (BCNF) which is a type of database normalization. It explains that BCNF was developed in 1974 and aims to eliminate redundant data and ensure data dependencies make logical sense. The document outlines the five normal forms including 1NF, 2NF, 3NF, BCNF, and 4NF. It provides examples of converting non-BCNF tables into BCNF by identifying and removing overlapping candidate keys and grouping remaining items into separate tables based on functional dependencies.
This document discusses database normalization and different normal forms including 1NF, 2NF, 3NF, and BCNF. It defines anomalies like insertion, update, and deletion anomalies that can occur when data is not normalized. Examples are provided to illustrate the different normal forms and how denormalizing data can lead to anomalies. The key aspects of each normal form like removing repeating groups (1NF), removing functional dependencies on non-prime attributes (2NF), and removing transitive dependencies (3NF, BCNF) are explained.
Excel Tutorials - Finding & Removing the Duplicate ValuesMerve Nur Taş
Excel Tutorials with screenshots.
Useful Tricks: Learn how to find and remove the duplicate values in Excel.
Duplicate cells in excel
Filtering data
Microsoft Excel for Mac (2016 Version)
Normalization is a process used to organize data in a database. It involves breaking tables into smaller, more manageable pieces to reduce data redundancy and improve data integrity. There are several normal forms including 1NF, 2NF, 3NF, BCNF, 4NF and 5NF. The document provides examples of tables and how they can be decomposed into different normal forms to eliminate anomalies and redundancy through the creation of additional tables and establishing primary keys.
There are several tabs and menu options that provide access to different types of records in list views. List views display records in columns and rows, and allow users to add, view, and edit individual records. Users can customize list views by adjusting options like the number of records displayed per page and which columns to include. Filters can be applied to lists using operators like wildcards and relational symbols to view subsets of records.
Database normalization is the process of organizing data in tables to minimize redundancy and dependency. It involves splitting tables into smaller tables and defining relationships between them using primary and foreign keys. There are various normal forms that quantify how normalized a database is, with third normal form being sufficient for most applications. Edgar Codd first proposed normalization and the first normal form, which requires that tables have a primary key and each attribute depend on the key. Higher normal forms like second and third further reduce redundancy between columns and tables.
The document discusses database normalization and various normal forms including first normal form (1NF), second normal form (2NF), third normal form (3NF), and Boyce-Codd normal form (BCNF). It provides examples of tables that are and are not in different normal forms and describes how to decompose tables to higher normal forms by removing functional dependencies between non-key attributes or attributes within a candidate key.
Entity relationship diagram - Concept on normalizationSatya Pal
The document discusses database normalization from the entity relationship diagram stage through fifth normal form. It describes how entities from the ER diagram become tables and how relationships are modeled. Anomalies in unnormalized relations are explained, along with how different normal forms address these issues. The document also discusses denormalization techniques used to improve query performance and some limitations of normalization.
This document provides instructions for inserting and formatting tables in Microsoft Word 2007. It discusses how to insert tables, format cells and rows, merge and split cells, apply styles, adjust alignment and formatting, and create a sample college timetable with a schedule for Thursday using table features. The instructions are accompanied by screenshots to illustrate the table tools and formatting options in Word 2007.
The document discusses different normal forms for organizing data in a database, including 1NF, 2NF, 3NF, and BCNF. 1NF requires attributes to be atomic and no repeating groups. 2NF removes partial dependencies by requiring non-prime attributes to depend on the whole primary key. 3NF removes non-key attributes that are not dependent on the primary key. BCNF is stronger than 3NF and requires all determinants to be candidate keys. Examples are provided to illustrate how relations can be decomposed to satisfy 3NF and BCNF.
The document discusses database normalization. Normalization is the process of organizing data to avoid data redundancy and inconsistencies. It discusses the three normal forms - 1st normal form requires each table column contain atomic values, 2nd normal form requires columns depend on the whole primary key, and 3rd normal form removes transitive dependencies. The document also contrasts top-down design, which identifies entity types before attributes, versus bottom-up design, which groups attributes into entities.
This document discusses various SQL join operations - inner join, left join, right join, and full outer join. It provides the syntax for each join and explains how each join type handles matching and non-matching rows from the left and right tables. Examples are given showing how to write SQL queries using inner, left, right, and full outer joins. The document also briefly introduces the SQL UNION operator for combining result sets from multiple SELECT statements.
This document contains 25 multiple choice questions about features and functions in Excel 2010. The questions cover topics like naming cells, creating charts, using formulas, filtering, sorting, formatting cells and more. For each question there are 4 possible answer choices to select from.
The document discusses database normalization. It begins with a brief history of normalization, introduced by Edgar Codd in 1970. It then defines database normalization as removing redundant data to improve storage efficiency, data integrity, and scalability. The document provides examples to illustrate the concepts of first, second, and third normal forms. It shows how a book database can be normalized by separating data into separate tables for authors, subjects, and books and defining relationships between the tables using primary and foreign keys. This normalization process addresses issues like redundant data, data integrity, and scalability.
The document contains 22 multiple choice questions about Excel. The questions cover a range of topics including functions, formatting, charts, pictures, printing, and more. Each question is followed by 5 possible answer choices.
The document contains 17 multiple choice questions about Excel 2010 functions and features. The questions cover topics like hyperlinking between sheets, merging and unmerging cells, formatting shapes, filtering data, chart creation, and more. For each question there are 4 possible answer choices listed and the correct answer is indicated. The questions appear to be part of a test or assessment on basic to intermediate Excel skills.
This document provides tips and tricks for various tools and functions in MapInfo Professional, including how to add leading zeros, convert between coordinate systems, set default browser views, perform wildcard searches and SQL queries, join tables, and more. It addresses several common questions users may have about utilizing different aspects of the software.
Data validation in Excel allows users to restrict the type of data entered into cells. This includes creating drop-down lists, restricting dates or numbers, and custom validation rules. The document provides steps to apply data validation to a cell by selecting the cell, going to the data validation menu, choosing the type of validation such as a list, selecting the source of the list options, and setting input and error messages. Data validation helps ensure accurate data entry by limiting users to valid options.
Data validation in Excel allows users to restrict the type of data entered into cells. This includes creating drop-down lists, restricting dates or numbers, and defining custom rules. To apply data validation, select the cell and specify the allowed values or type of data from the Data Validation menu. Messages can also be set to guide or notify users about the valid entry requirements. Data validation helps ensure accurate and consistent data entry.
Microsoft Office Excel 2013 Tutorials 24- Working with Dropdown listsMustansir Dahodwala
Simple and Collaborative Slideshow for
Working with Dropdown lists in Excel 2013
If the video does not work,Please download and check (Sorry if the inconvenience is caused)
Hope you like it,
Free to download and share,
Check our Other Tutorials onto other Microsoft Office Softwares and further more into miscellaneous slideshows.
Data validation in Microsoft Excel allows users to restrict the type of data entered into cells. This includes creating drop down lists, restricting dates, numbers, text, and custom validation rules. When applied to a cell, data validation ensures only the defined options can be selected rather than invalid or confusing entries. To set up data validation, select the cell and choose data validation from the Data tab. Options can be set as a list by selecting the predefined list of valid entries. This helps guide users to make accurate selections.
The document discusses designing databases and the key concepts involved. It explains that before creating a database, it is important to design a conceptual model or "blueprint" that defines the logical relationships and structure of the data independently of specific database or software considerations. This conceptual model should satisfy both current and future information needs. The document then provides examples of how data for an airline reservation system or library could be organized across multiple logically related tables that are interlinked through primary and foreign keys.
This document provides instructions for creating and customizing pivot tables in Excel. It explains what a pivot table is and how to set up the layout area to summarize data. Additional topics covered include including additional data fields, sorting pivot tables, hiding or suppressing items, and copying pivot tables. The document also provides miscellaneous Excel tips and tricks unrelated to pivot tables, such as sorting, subtotaling, filtering, autoformatting, and printing options.
Pivot tables allow users to summarize and analyze data in Excel by aggregating and reorganizing the data into a new format determined by the user. The document provides a step-by-step tutorial on how to create a pivot table using sample voter data. Key steps include selecting the data range, inserting a pivot table on a new worksheet, and dragging fields from the pivot table field list to rows, columns, and values areas to choose how the data should be organized and summarized. Advanced techniques like filtering, moving fields, and customizing pivot table options are also demonstrated.
CREATING A DATASET FROM EXCEL IN POWER BI REPORT BUILDERSagarDuttPhuloria
This document provides steps to create a dataset from Excel in Power BI Report Builder by:
1. Setting up an embedded data source and dataset in the report using data entered directly.
2. Designing a simple table report based on the created dataset to display aggregated sales data by country and year.
3. Running the report to preview it with actual values and formatting the output.
This document provides instructions for using the Siebel CRM application. It begins with an overview of Siebel, explaining that it is a CRM system owned by Oracle. It then provides step-by-step instructions for accessing Siebel, logging in, navigating the interface, running queries to find information, customizing the interface and preferences, and working with common record types like accounts, contacts, and opportunities. The document also includes a glossary of Siebel terminology and lists of keyboard shortcuts.
The document provides an introduction to queries in Microsoft Access. It discusses:
1. Sorting records in ascending or descending alphabetical or numerical order.
2. Finding data in tables using search tools like Find and wildcards.
3. Filtering records by selection, using a filter form, or an advanced filter to group records by common fields.
4. Creating simple queries using the query wizard or design view to combine data from multiple tables.
The document provides an introduction to queries in Microsoft Access. It discusses:
1. Sorting records in ascending or descending alphabetical or numerical order.
2. Finding data in tables using search tools like Find and wildcards.
3. Filtering records by selection, using a filter form, or an advanced filter to group records by common fields.
4. Creating simple queries using the query wizard or design view to combine data from multiple tables.
Creating a repository using the oracle business intelligence administration toolRavi Kumar Lanke
This 6 hour tutorial shows how to build an Oracle BI metadata repository using the Administration Tool. The document outlines the steps to:
1. Create a new repository called BISAMPLE and import metadata from the BISAMPLE schema including 5 tables.
2. Verify the connection by updating row counts and viewing data.
3. Create aliases for the imported physical tables.
4. Generate physical keys and joins between the tables in the Physical layer.
The tutorial then previews building the Business Model and Mapping layer in the next section.
This document provides instructions for sorting and filtering data in Excel. It explains how to sort data in ascending or descending alphabetical order or by numeric value. The steps for sorting include selecting the cell in the column to sort, then selecting Sort A to Z or From Smallest to Largest. Filtering allows displaying only certain records by setting filter criteria. Subtotals can be added to summarize numeric fields based on groupings. External data can be connected and imported into Excel worksheets.
Microsoft Access is a powerful database program that allows users to create and manage databases. It has built-in features to help construct and view information through tables, queries, forms, and reports. Access breaks down databases into a hierarchy including the database file, tables, records, fields, and data types. Users can create databases from scratch or with a wizard, then enter and manipulate data by adding, updating, and deleting records in tables or forms. Relationships between tables can also be created by matching primary and foreign keys to bring information together across multiple tables.
Microsoft Access is a database management system from Microsoft that combines a relational database engine with graphical user interface tools. It allows users to create and manage databases, tables, queries, forms, and reports. Key features include adding, editing, organizing, and sharing data; creating tables in Datasheet or Design view; adding lookup fields; creating and using queries; setting table and field properties; filtering and sorting data; and importing or exporting data.
This document discusses how to create and manipulate pivot table reports in Excel. Pivot tables allow users to analyze and manipulate numerical data in spreadsheets to answer questions. The document provides step-by-step instructions for creating a basic pivot table, adding filters, and moving or "pivoting" fields to view the data in different ways. It also describes how to create a pivot chart based on the data in a pivot table report.
1A p p e n d i x C APPENDIX CDATA MANAGEMENT WITH E.docxjesusamckone
1A p p e n d i x C
APPENDIX C
DATA MANAGEMENT WITH EXCEL
C-1 INTRODUCTION
C-2 SORT OPERATIONS
C-3 SEARCH OPERATIONS
C-4 CUSTOM FILTER
C-5 ADVANCED FILTER
C-6 CONDITIONAL FORMATTING
C-7 DATABASE STATISTICAL FUNCTIONS
C-8 DISTRIBUTION ANALYSIS USING THE FREQUENCY FUNCTION
C-9 PIVOT TABLE
C-1 INTRODUCTION
Excel is not database management software; however,
it provides basic data management features and com-
mands that can organize a spreadsheet’s data in many
forms for use in diverse decision-making activities. These
basic features and commands include sort operations,
search operations using the Filter command, statistical
database functions, the Frequency function, and the
pivot table.
C-2 SORT OPERATIONS
Sort operations are used to organize a table based on
one or several of its columns (� elds). Basically, a table
can be organized around any or all of its columns. The
� rst column chosen serves as the primary key, and the
other columns serve as secondary keys.
To sort the table shown in Exhibit C.1 based on any of
its columns, follow these steps:
1. Select the table (excluding the column headings).
2. Click Data.
3. Click Sort.
4. In the Sort dialog box (Exhibit C.2), choose the
column around which you want to sort the table.
5. Choose the order (Smallest to Largest, Largest to
Smallest, Custom List…).
6. Click OK.
2 A p p e n d i x C
Exhibit C.1
A sample table
Exhibit C.2
The Sort dialog box
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3A p p e n d i x C
In this example, we chose Income for the column and
Largest to Smallest for the order. The result is shown in
Exhibit C.3.
Using the sample table from Exhibit C.1, we now want
to sort � rst by Gender (A to Z) and then by Income
(Z to A). To do this, follow these steps:
1. Select the table (excluding the column headings).
2. Click Data.
3. Click Sort.
4. Choose Gender (A to Z).
5. Click Add Level (in the upper-left corner of the
Sort dialog box).
6. Choose Income (Z to A).
7. Click OK.
The result is shown in Exhibit C.4.
Exhibit C.3
The table in Exhibit C.1 is sorted based on Income in Largest to Smallest order
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4 A p p e n d i x C
Exhibit C.4
The table from Exhibit C.1 is sorted based on Gender (A to Z), then Income (Z to A)
C-3 SEARCH OPERATIONS
When you perform a search operation, you are inter-
ested in speci� c records that meet certain criteria. For
example, in a student grade table, you might want to
search for all those students who have a GPA greater
than 3.6; or in an employee table, you might want to
search for all the employees who hold master’s degrees.
To conduct a s.
This document discusses skills for working with tables and graphics in Word 2010. It covers how to create and format tables, including inserting and deleting rows and columns, merging and splitting cells, sorting data, and adding borders and shading. It also covers how to insert different types of graphics like clip art, pictures, shapes, and SmartArt. Formatting options for graphics like quick styles and wrapping text are also discussed. The document provides step-by-step instructions for completing many common table and graphic tasks in Word.
Couple of days ago at an Excel Training workshop a guy asked me “Can I add my company’s logo in a worksheet and print on every page? “
I said Yes why not……. Excel can do whatever you say except....
This document discusses how to sort data row-wise in Excel using the Sort function. It notes that while the Sort function is commonly used, its ability to sort data horizontally is less explored. It provides steps to select the data, access the Sort option under the Data tab, select "Sort left to right" instead of the default "top to bottom" setting, choose the desired row to sort and sort order, and press OK to complete the row-wise sort.
If we want to count the number of working days in a given period excluding weekly off (optional) and any other holidays (optional), the best way to do it in Excel is through using NETWORKDAYS.INTL. Most of us usually apply..
Ever come across a situation when you have some blanks in data for which you need to create a chart for? Or have any hidden rows or columns in the......
In this post we will see how we can prevent/stop any range to accept any duplicate values. We all know the power of Data Validation. We can do a lot of......
Suppose you apply a formula in a cell and you get an error, the reason could be anything but the problem lies where you don’t want to share a report which contains errors. With the use of IFERROR we can.....
This document provides a solution for pasting data onto filtered rows in Excel without pasting onto hidden rows. It involves using VBA macros to paste data only onto visible rows. The user is instructed to copy a range of cells, select a copy range and paste range via input boxes, and run a VBA macro called "PasteOnVisibleCells" which will paste the copied cells only onto visible rows by checking the row height before pasting.
End-to-end pipeline agility - Berlin Buzzwords 2024Lars Albertsson
We describe how we achieve high change agility in data engineering by eliminating the fear of breaking downstream data pipelines through end-to-end pipeline testing, and by using schema metaprogramming to safely eliminate boilerplate involved in changes that affect whole pipelines.
A quick poll on agility in changing pipelines from end to end indicated a huge span in capabilities. For the question "How long time does it take for all downstream pipelines to be adapted to an upstream change," the median response was 6 months, but some respondents could do it in less than a day. When quantitative data engineering differences between the best and worst are measured, the span is often 100x-1000x, sometimes even more.
A long time ago, we suffered at Spotify from fear of changing pipelines due to not knowing what the impact might be downstream. We made plans for a technical solution to test pipelines end-to-end to mitigate that fear, but the effort failed for cultural reasons. We eventually solved this challenge, but in a different context. In this presentation we will describe how we test full pipelines effectively by manipulating workflow orchestration, which enables us to make changes in pipelines without fear of breaking downstream.
Making schema changes that affect many jobs also involves a lot of toil and boilerplate. Using schema-on-read mitigates some of it, but has drawbacks since it makes it more difficult to detect errors early. We will describe how we have rejected this tradeoff by applying schema metaprogramming, eliminating boilerplate but keeping the protection of static typing, thereby further improving agility to quickly modify data pipelines without fear.
STATATHON: Unleashing the Power of Statistics in a 48-Hour Knowledge Extravag...sameer shah
"Join us for STATATHON, a dynamic 2-day event dedicated to exploring statistical knowledge and its real-world applications. From theory to practice, participants engage in intensive learning sessions, workshops, and challenges, fostering a deeper understanding of statistical methodologies and their significance in various fields."
ViewShift: Hassle-free Dynamic Policy Enforcement for Every Data LakeWalaa Eldin Moustafa
Dynamic policy enforcement is becoming an increasingly important topic in today’s world where data privacy and compliance is a top priority for companies, individuals, and regulators alike. In these slides, we discuss how LinkedIn implements a powerful dynamic policy enforcement engine, called ViewShift, and integrates it within its data lake. We show the query engine architecture and how catalog implementations can automatically route table resolutions to compliance-enforcing SQL views. Such views have a set of very interesting properties: (1) They are auto-generated from declarative data annotations. (2) They respect user-level consent and preferences (3) They are context-aware, encoding a different set of transformations for different use cases (4) They are portable; while the SQL logic is only implemented in one SQL dialect, it is accessible in all engines.
#SQL #Views #Privacy #Compliance #DataLake
Predictably Improve Your B2B Tech Company's Performance by Leveraging DataKiwi Creative
Harness the power of AI-backed reports, benchmarking and data analysis to predict trends and detect anomalies in your marketing efforts.
Peter Caputa, CEO at Databox, reveals how you can discover the strategies and tools to increase your growth rate (and margins!).
From metrics to track to data habits to pick up, enhance your reporting for powerful insights to improve your B2B tech company's marketing.
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This is the webinar recording from the June 2024 HubSpot User Group (HUG) for B2B Technology USA.
Watch the video recording at https://youtu.be/5vjwGfPN9lw
Sign up for future HUG events at https://events.hubspot.com/b2b-technology-usa/
Open Source Contributions to Postgres: The Basics POSETTE 2024ElizabethGarrettChri
Postgres is the most advanced open-source database in the world and it's supported by a community, not a single company. So how does this work? How does code actually get into Postgres? I recently had a patch submitted and committed and I want to share what I learned in that process. I’ll give you an overview of Postgres versions and how the underlying project codebase functions. I’ll also show you the process for submitting a patch and getting that tested and committed.
2. How to create a dependent drop down
list.
• As most of us already use drop down lists through data validation but sometimes it
makes much more sense to create a dependent drop down lists e.g. you create a
drop down list in cell A1 and as you choose any item from that list, the items of the
other drop down list in cell B1 will change accordingly. So let’s see guys how we can
create it in Excel:
• Just have a look at the below screenshot, in this example we have a table with 4
columns with 4 States of India in each column and below each column we have
respective Districts. Our motive is to create a drop down list in cell A3, which shows
all the 4 States and then we will create a drop down list in cell B3 which will be
dependent on the States’ drop down list and will show only the respective Districts.
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4. • Now let’s just follow the below steps to create a dependent drop down
list:
• Step 1 First we need to create assign names to the categories row as well
as all the 4 States. To do this, first select the range D1:G1 and then click in
the Name box and write a name as State and then hit enter.
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5. Step 2 Now we need to select all the respective Districts below the State one by one and give it
a respective State name range through the Name box. You can just repeat the same procedure
discussed in the above step to assign a name. E.g. to assign a name to the Districts of Rajasthan
we will select range from D2:D24 and write Rajasthan in Name box.
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9. Step 3 Now we will create the First drop down list for States in cell A3. For this just
activate cell A3 and then go to Data tab Data Validation
Now in the Data Validation dialog box, click Settings tab, choose List from the Allow drop
down list, and input this formula =State into the Source box and then press ok. Now we have
the drop down list with 4 states in cell A3.
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10. Now to create a dependent drop down list in cell B3, just activate cell B3 and then again go
to Data tab Data Validation and now in the Data Validation dialog box, click Settings tab,
choose List from the Allow drop down list, and input this formula =Indirect(A3) into the
Source box and then press ok. Here we will get the list of respective Districts, depends on
which State we choose in cell A3.
Note: if you have not choose anything in cell A3 then after hitting OK in the above step you
will get an error like this :
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11. This is just an informative error so just press OK to continue.
Now we are ready to use dependent drop down list
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