This document discusses SQL aggregation functions such as COUNT, SUM, AVG, MAX, and MIN. It provides examples of using each function to aggregate data from a sample table containing employee names and page counts. The COUNT function returns the number of rows, SUM adds values, AVG calculates the average, MAX returns the largest value, and MIN returns the smallest value. Syntax examples are given for each function applied to the sample data.
This document discusses various SQL functions including set operations, aggregate functions, and other SQL functions. It provides examples of using union, intersect, and except to combine result sets from multiple queries and eliminate or retain duplicates. It also demonstrates the use of aggregate functions like avg, min, max, sum, and count on columns. Finally, it mentions other SQL functions like abs, power, round, sqrt, and truncate along with examples.
The document provides an overview of various Excel functions organized into different categories such as mathematical functions, statistical functions, lookup and date functions, and financial functions. It describes high-level functions like SUM, AVERAGE, VLOOKUP, and DATE as well as more specialized functions like MOD, GCD, MEDIAN, and DATEDIF. For each function, it provides the syntax and examples of usage to calculate or look up values based on supplied arguments. The document serves as a reference for understanding the variety of calculations that can be performed using functions in Excel.
The document provides an overview of various Excel functions organized into categories including:
1. Mathematical functions such as ROUND, MOD, INTEGER, GCD, and LOG functions.
2. Statistical functions such as COUNT, AVERAGE, MAX, MEDIAN, and financial functions such as NPV, PV, PMT.
3. Lookup functions including VLOOKUP, HLOOKUP, MATCH to find data in tables or perform lookups.
4. Date and time functions like DATE, TIME, TODAY, NOW and DATEDIF to work with dates and times.
5. Text functions including LEFT, RIGHT, MID, UPPER, LOWER, LEN to manipulate
Introduction to Oracle Functions--(SQL)--Abhishek Sharma爐爐爐逗し爛爐 爐謹ぐ爛爐爐
油
Functions make query results easier to understand and manipulate data values. There are two categories of functions: single row/scalar functions that return one value per row, and group/aggregate functions that operate on sets of values to return a single result. The GROUP BY clause groups rows based on columns and is used with aggregate functions to return summary results for each group.
This document provides a summary of key functions in Oracle SQL across five categories: grouping functions, numeric functions, string functions, date functions, and conversion functions. Examples are provided for each function to illustrate its usage and meaning. The full descriptions of all Oracle functions are available in another document.
Aggregate functions summarize data from multiple rows into a single value. They operate on a single column and return a single value. Common aggregate functions include SUM, AVG, MIN, MAX, and COUNT. SUM returns the sum of numeric column values. AVG returns the average of numeric column values. MIN and MAX return the minimum and maximum values in a column. COUNT returns the number of rows.
Microsoft Excel is a powerful tool used for creating and formatting spreadsheets. Spreadsheets allow information to be organized in rows and columns and analyzed using automatic mathematics calculations. Excel is commonly used to perform various types of calculations by using functions like IF, AND, OR, SUM, VLOOKUP, and more. Macros can also be recorded and assigned to buttons to automate repetitive tasks in Excel.
Functions in Oracle can be used to manipulate data values and are categorized as single-row/scalar functions and group/aggregate functions. Single-row functions operate on each row and return one value per row, while group functions operate on sets of values to return one result. The GROUP BY clause is used to group or categorize data and can be used with aggregate functions to return summary results for each group.
This document describes aggregate functions that can be used in SQL statements. It lists common aggregate functions like AVG, COUNT, MAX, MIN, and SUM and provides brief descriptions of what each function does, such as returning the average, number of rows, maximum or minimum value in a column. It explains that aggregate functions are typically used in expressions to return a single numeric value from the results.
The document discusses various SQL commands used for managing databases and querying data. It covers commands for creating and deleting databases and tables, inserting, updating, and deleting records, modifying table structures, grouping and filtering query results using aggregate functions and conditions, and ordering query results. Key SQL commands covered include CREATE, DROP, INSERT, UPDATE, DELETE, ALTER, SELECT, GROUP BY, HAVING, and ORDER BY.
Mathematical functions in Excel are used to perform arithmetic operations like sum, average, count, max, min. The SUM function adds the values within a cell range. For example, SUM(C1:C3)=15 adds the values in cells C1 through C3. The AVERAGE function calculates the average of a range of cells. COUNT counts the number of cells that contain numbers. Other common functions include ROUND, RAND, MOD, INT, ABS, ARABIC, and CEILING.MATH.
Oracle Advanced SQL and Analytic FunctionsZohar Elkayam
油
Even though DBAs and developers are writing SQL queries every day, it seems that advanced SQL techniques such as multidimension aggregation and analytic functions still remain relatively unknown. In this session, we will explore some of the common real-world usages for analytic function and understand how to take advantage of this great and useful tool. We will deep dive into ranking based on values and groups, understand aggregation of multiple dimensions without a group by, see how to do inter-row calculations, and much more.
This is the presentation slides which was presented in Kscope 17 on June 28, 2017.
This document provides an overview of common mathematical, lookup, date, and time functions in Microsoft Excel. It describes functions such as SUM, AVERAGE, PRODUCT, COUNT, CEILING, FLOOR, VLOOKUP, HLOOKUP, DATE, TIME, TODAY, NOW, HOUR, and MINUTE and explains what each function does. The document is organized into sections on mathematical functions, lookup and date/time functions, and text functions. It provides examples of how to use some of the key functions like SUM, AVERAGE, PRODUCT, COUNT, VLOOKUP, DATE and TIME.
This document discusses functions and the GROUP BY clause in Oracle. It covers single row functions like character, number, date functions and aggregate functions that operate on multiple rows. Examples are provided to demonstrate character functions like INITCAP, UPPER, LOWER, number functions like ROUND, TRUNC, MOD, date functions like SYSDATE, and aggregate functions like COUNT, MIN, MAX, AVG, SUM. The GROUP BY clause is used to divide the table into groups based on a column and requires including that column in the SELECT statement along with any aggregate functions.
This document discusses functions and the GROUP BY clause in Oracle. It covers single row functions like character, number, date functions and aggregate functions that operate on multiple rows. Examples are provided to demonstrate character functions like INITCAP, UPPER, SUBSTR and number functions like ROUND, TRUNC, MOD. Date functions like MONTH, YEAR and date arithmetic are also covered. Conversion, general functions like NVL, NVL2, NULLIF are explained. The syntax for aggregate functions like COUNT, MIN, MAX, AVG, SUM with the GROUP BY clause is demonstrated to group and filter results.
Exploring Advanced SQL Techniques Using Analytic FunctionsZohar Elkayam
油
Session from ILOUG I presented in May, 2016
Even though DBAs and developers are writing SQL queries every day, it seems that advanced SQL techniques such as multi-dimension aggregation and analytic functions are still relatively remain unknown. In this session, we will explore some of the common real-world usages for analytic function, and understand how to take advantage of this great and useful tool. We will deep dive into ranking based on values and groups; understand aggregation of multiple dimensions without a group by; see how to do inter-row calculations, and much-much more
Together we will see how we can unleash the power of analytics using Oracle 11g best practices and Oracle 12c new features.
Exploring Advanced SQL Techniques Using Analytic FunctionsZohar Elkayam
油
Session from BGOUG I presented in June, 2016
Even though DBAs and developers are writing SQL queries every day, it seems that advanced SQL techniques such as multi-dimension aggregation and analytic functions are still relatively remain unknown. In this session, we will explore some of the common real-world usages for analytic function, and understand how to take advantage of this great and useful tool. We will deep dive into ranking based on values and groups; understand aggregation of multiple dimensions without a group by; see how to do inter-row calculations, and much-much more
Together we will see how we can unleash the power of analytics using Oracle 11g best practices and Oracle 12c new features.
This document discusses summary queries in SQL. It explains that summary queries are used to retrieve aggregate or summary information rather than details of individual records. It describes SQL column functions such as SUM, AVG, MIN, MAX, COUNT that can be used to summarize data. It also discusses GROUP BY and HAVING clauses that allow grouping and filtering of aggregated data. Subqueries and the CASE statement for conditional logic in SQL queries are also briefly covered.
The MySQL LIKE operator is used in SELECT statements to search for a pattern within a column and works with wildcard characters. It allows finding rows that match or contain a certain substring. The % wildcard represents zero, one, or multiple characters while _ represents a single character. Some examples of LIKE queries include finding rows where a column starts with, ends with, or contains a substring.
The document provides information about MySQL including:
1. MySQL is an open source relational database management system based on SQL that is used to add, remove, and modify information in databases.
2. It describes basic MySQL commands like CREATE TABLE, DROP TABLE, SELECT, INSERT, UPDATE, and provides syntax examples.
3. It also covers advanced commands, functions in MySQL like aggregate functions, numeric functions and string functions as well as stored procedures.
The MySQL GROUP BY statement groups rows that have the same values into summary rows. It is often used with aggregate functions like COUNT(), MAX(), MIN(), SUM(), AVG() to group the result set by one or more columns. The GROUP BY statement syntax includes SELECT, FROM, WHERE, GROUP BY, and ORDER BY clauses. Examples show using GROUP BY to find the number of customers in each country and the number of orders sent by each shipper.
MySQL is an open-source relational database management system that runs on a server and allows for multi-user access to databases. It is commonly used with web applications and by popular websites. MySQL uses commands like SELECT, INSERT, UPDATE, and DELETE to retrieve, add, modify and remove data from databases. It also supports stored procedures and functions to organize more complex queries and calculations.
MySQL is an open-source relational database management system that runs a server providing multi-user access to databases. It is commonly used with web applications and is popular for its use with PHP. Many large websites use MySQL to store user data. MySQL supports basic queries like SELECT, INSERT, UPDATE, and DELETE to retrieve, add, modify and remove data from databases. It also supports more advanced functions and queries.
This document discusses mathematical functions in SQL Server that can perform calculations on columns in tables. It explains aggregate functions like SUM, AVG, MIN, MAX, and COUNT that calculate the total, average, minimum, maximum, and count of values. These functions can be used to find calculations on a single column or combined with GROUP BY to calculate aggregates for each group. Additional functions like UPPER and LOWER can manipulate string values. Examples demonstrate finding total booty, average booty, highest/lowest booty, and robbery case count from a robberies table using these functions.
This document discusses mathematical functions in SQL Server that can perform calculations on table columns, such as SUM, AVG, MIN, MAX, and COUNT. It provides examples of using these aggregate functions to find the total booty, average booty, maximum booty, minimum booty, and number of cases in a sample robberies table. The document also notes that these functions cannot be used with a WHERE clause and explains how to instead use HAVING, ANY, or IN. It describes combining aggregate functions with GROUP BY and using multiple aggregates together.
This document discusses mathematical functions in SQL Server that can perform calculations on table columns, such as SUM, AVG, MIN, MAX, and COUNT. It provides examples of using these aggregate functions to find the total booty, average booty, maximum booty, minimum booty, and number of cases in a sample robberies table. The document also notes that these functions cannot be used with a WHERE clause and explains how to instead use HAVING, ANY, or IN. It describes combining aggregate functions with GROUP BY and using multiple aggregates together.
The document provides information on various SQL functions. It discusses functions for sorting query results, performing calculations on aggregate data, grouping data, and filtering groups. Date and string functions are also covered, along with numeric and mathematical functions. Common functions include ORDER BY for sorting, SUM, AVG, COUNT for aggregates, GROUP BY for grouping, and HAVING for filtering groups. NOW() and SYSDATE() are described as functions for returning the current date and time.
Functions in Oracle can be used to manipulate data values and are categorized as single-row/scalar functions and group/aggregate functions. Single-row functions operate on each row and return one value per row, while group functions operate on sets of values to return one result. The GROUP BY clause is used to group or categorize data and can be used with aggregate functions to return summary results for each group.
This document describes aggregate functions that can be used in SQL statements. It lists common aggregate functions like AVG, COUNT, MAX, MIN, and SUM and provides brief descriptions of what each function does, such as returning the average, number of rows, maximum or minimum value in a column. It explains that aggregate functions are typically used in expressions to return a single numeric value from the results.
The document discusses various SQL commands used for managing databases and querying data. It covers commands for creating and deleting databases and tables, inserting, updating, and deleting records, modifying table structures, grouping and filtering query results using aggregate functions and conditions, and ordering query results. Key SQL commands covered include CREATE, DROP, INSERT, UPDATE, DELETE, ALTER, SELECT, GROUP BY, HAVING, and ORDER BY.
Mathematical functions in Excel are used to perform arithmetic operations like sum, average, count, max, min. The SUM function adds the values within a cell range. For example, SUM(C1:C3)=15 adds the values in cells C1 through C3. The AVERAGE function calculates the average of a range of cells. COUNT counts the number of cells that contain numbers. Other common functions include ROUND, RAND, MOD, INT, ABS, ARABIC, and CEILING.MATH.
Oracle Advanced SQL and Analytic FunctionsZohar Elkayam
油
Even though DBAs and developers are writing SQL queries every day, it seems that advanced SQL techniques such as multidimension aggregation and analytic functions still remain relatively unknown. In this session, we will explore some of the common real-world usages for analytic function and understand how to take advantage of this great and useful tool. We will deep dive into ranking based on values and groups, understand aggregation of multiple dimensions without a group by, see how to do inter-row calculations, and much more.
This is the presentation slides which was presented in Kscope 17 on June 28, 2017.
This document provides an overview of common mathematical, lookup, date, and time functions in Microsoft Excel. It describes functions such as SUM, AVERAGE, PRODUCT, COUNT, CEILING, FLOOR, VLOOKUP, HLOOKUP, DATE, TIME, TODAY, NOW, HOUR, and MINUTE and explains what each function does. The document is organized into sections on mathematical functions, lookup and date/time functions, and text functions. It provides examples of how to use some of the key functions like SUM, AVERAGE, PRODUCT, COUNT, VLOOKUP, DATE and TIME.
This document discusses functions and the GROUP BY clause in Oracle. It covers single row functions like character, number, date functions and aggregate functions that operate on multiple rows. Examples are provided to demonstrate character functions like INITCAP, UPPER, LOWER, number functions like ROUND, TRUNC, MOD, date functions like SYSDATE, and aggregate functions like COUNT, MIN, MAX, AVG, SUM. The GROUP BY clause is used to divide the table into groups based on a column and requires including that column in the SELECT statement along with any aggregate functions.
This document discusses functions and the GROUP BY clause in Oracle. It covers single row functions like character, number, date functions and aggregate functions that operate on multiple rows. Examples are provided to demonstrate character functions like INITCAP, UPPER, SUBSTR and number functions like ROUND, TRUNC, MOD. Date functions like MONTH, YEAR and date arithmetic are also covered. Conversion, general functions like NVL, NVL2, NULLIF are explained. The syntax for aggregate functions like COUNT, MIN, MAX, AVG, SUM with the GROUP BY clause is demonstrated to group and filter results.
Exploring Advanced SQL Techniques Using Analytic FunctionsZohar Elkayam
油
Session from ILOUG I presented in May, 2016
Even though DBAs and developers are writing SQL queries every day, it seems that advanced SQL techniques such as multi-dimension aggregation and analytic functions are still relatively remain unknown. In this session, we will explore some of the common real-world usages for analytic function, and understand how to take advantage of this great and useful tool. We will deep dive into ranking based on values and groups; understand aggregation of multiple dimensions without a group by; see how to do inter-row calculations, and much-much more
Together we will see how we can unleash the power of analytics using Oracle 11g best practices and Oracle 12c new features.
Exploring Advanced SQL Techniques Using Analytic FunctionsZohar Elkayam
油
Session from BGOUG I presented in June, 2016
Even though DBAs and developers are writing SQL queries every day, it seems that advanced SQL techniques such as multi-dimension aggregation and analytic functions are still relatively remain unknown. In this session, we will explore some of the common real-world usages for analytic function, and understand how to take advantage of this great and useful tool. We will deep dive into ranking based on values and groups; understand aggregation of multiple dimensions without a group by; see how to do inter-row calculations, and much-much more
Together we will see how we can unleash the power of analytics using Oracle 11g best practices and Oracle 12c new features.
This document discusses summary queries in SQL. It explains that summary queries are used to retrieve aggregate or summary information rather than details of individual records. It describes SQL column functions such as SUM, AVG, MIN, MAX, COUNT that can be used to summarize data. It also discusses GROUP BY and HAVING clauses that allow grouping and filtering of aggregated data. Subqueries and the CASE statement for conditional logic in SQL queries are also briefly covered.
The MySQL LIKE operator is used in SELECT statements to search for a pattern within a column and works with wildcard characters. It allows finding rows that match or contain a certain substring. The % wildcard represents zero, one, or multiple characters while _ represents a single character. Some examples of LIKE queries include finding rows where a column starts with, ends with, or contains a substring.
The document provides information about MySQL including:
1. MySQL is an open source relational database management system based on SQL that is used to add, remove, and modify information in databases.
2. It describes basic MySQL commands like CREATE TABLE, DROP TABLE, SELECT, INSERT, UPDATE, and provides syntax examples.
3. It also covers advanced commands, functions in MySQL like aggregate functions, numeric functions and string functions as well as stored procedures.
The MySQL GROUP BY statement groups rows that have the same values into summary rows. It is often used with aggregate functions like COUNT(), MAX(), MIN(), SUM(), AVG() to group the result set by one or more columns. The GROUP BY statement syntax includes SELECT, FROM, WHERE, GROUP BY, and ORDER BY clauses. Examples show using GROUP BY to find the number of customers in each country and the number of orders sent by each shipper.
MySQL is an open-source relational database management system that runs on a server and allows for multi-user access to databases. It is commonly used with web applications and by popular websites. MySQL uses commands like SELECT, INSERT, UPDATE, and DELETE to retrieve, add, modify and remove data from databases. It also supports stored procedures and functions to organize more complex queries and calculations.
MySQL is an open-source relational database management system that runs a server providing multi-user access to databases. It is commonly used with web applications and is popular for its use with PHP. Many large websites use MySQL to store user data. MySQL supports basic queries like SELECT, INSERT, UPDATE, and DELETE to retrieve, add, modify and remove data from databases. It also supports more advanced functions and queries.
This document discusses mathematical functions in SQL Server that can perform calculations on columns in tables. It explains aggregate functions like SUM, AVG, MIN, MAX, and COUNT that calculate the total, average, minimum, maximum, and count of values. These functions can be used to find calculations on a single column or combined with GROUP BY to calculate aggregates for each group. Additional functions like UPPER and LOWER can manipulate string values. Examples demonstrate finding total booty, average booty, highest/lowest booty, and robbery case count from a robberies table using these functions.
This document discusses mathematical functions in SQL Server that can perform calculations on table columns, such as SUM, AVG, MIN, MAX, and COUNT. It provides examples of using these aggregate functions to find the total booty, average booty, maximum booty, minimum booty, and number of cases in a sample robberies table. The document also notes that these functions cannot be used with a WHERE clause and explains how to instead use HAVING, ANY, or IN. It describes combining aggregate functions with GROUP BY and using multiple aggregates together.
This document discusses mathematical functions in SQL Server that can perform calculations on table columns, such as SUM, AVG, MIN, MAX, and COUNT. It provides examples of using these aggregate functions to find the total booty, average booty, maximum booty, minimum booty, and number of cases in a sample robberies table. The document also notes that these functions cannot be used with a WHERE clause and explains how to instead use HAVING, ANY, or IN. It describes combining aggregate functions with GROUP BY and using multiple aggregates together.
The document provides information on various SQL functions. It discusses functions for sorting query results, performing calculations on aggregate data, grouping data, and filtering groups. Date and string functions are also covered, along with numeric and mathematical functions. Common functions include ORDER BY for sorting, SUM, AVG, COUNT for aggregates, GROUP BY for grouping, and HAVING for filtering groups. NOW() and SYSDATE() are described as functions for returning the current date and time.
Selec Controls Company Profile FY25-26.pdfSelec Controls
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Selec Controls Pvt Limited is one of Indias leading manufacturer in Electrical measurement, Electrical Protection & Control, power quality, solar, industrial automation, and process control, having a market reach in over 75 countries worldwide with three subsidiaries Selec GmbH, Selec Controls USA, and Selec Australia.
In India, with facilities spread over a 1.8 lakh sq. ft. area and over 4 million products manufactured per year, we are well known for our unique make-in-India vision, futuristic products, and exemplary quality that redefine excellence.
We have government recognized R&D center with NABL accredited lab enabling us to maintain the quality of the products to meet the industry standards.
Selec Control with a strong network of over 280 channel Partners worldwide, has supplied products to all types of industries and segments.
Selec has a workforce of more than 1000 employees in India and well-trained sales engineers across the country. To make the product selection to suit your technical and specified needs. We also have trained application engineers who can assist you with special application software for energy management solutions and industrial automation.
For on-site application support and after-sales services, we have a strong service network across the country.
Check out our website to know more: www.selec.com
Menig Card for Christmas 2024/Easter 2025Paul Menig
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Dash Away! Santa shouted it from the rooftop. Jesus lived it from birth at Christmas to death on Good Friday to Resurrection on Easter to Ascension. Are you living your dash?
Protais Muhirwa, Founder of ARMIA (Active Refugee & Migrant Integration in Australia), graced the cover of Worlds Leaders Magazine as one of the Worlds Most Influential Leaders Transforming the Future, 2025
Mohit Bansal_ The Green Visionary Behind GMI Infras Sustainable Legacy.pdfMohit Bansal GMI
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Discover how Mohit Bansal, CEO of GMI Infra, is redefining sustainable urban development with eco-friendly projects across Mohali. From green business hubs to energy-efficient homes, GMI Infras initiatives focus on reducing environmental impact while enhancing quality of life. Learn why GMI Infra is the go-to choice for sustainable real estate solutions.
Raman Bhaumik - A Junior Software DeveloperRaman Bhaumik
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Raman Bhaumik is a Junior Software Developer passionate about technology and problem-solving. With expertise in Java, Python, JavaScript, and SQL, Raman has contributed to improving web application performance by 25%. Skilled in frameworks like React and Django, she is adept in API development, unit testing, and database optimization.
Product list and brochure of company profile and SWOT analysis reports available on Platform Executive.
Each report is available for purchase online and includes the following sections:
1. Introduction
2. Aims and objectives
3. Scope of the report
4. Target audiences
5. Table of contents
6. Executive summary
7. Overview
8. Key facts
9. Concise history
10. Company description
11. The business model
11.1. Business model canvas
11.2. Value proposition
11.3. Target markets
11.4. Key success factors
12. Industries
13. Key people
14. Management capabilities
15. Key stakeholders
16. The regulatory environment
17. Risk analysis
18. Corporate Social Responsibility (CSR)
19. Ethical considerations
20. Key performance indicators
21. Future market trends
22. Potential synergies
23. Supply chain analysis
24. Financial data
25. Products and/or services
25.1. Customers and cohorts
25.2. Business units
25.3. Major products and services
25.4. Competitive advantages
25.5. Potential new products and innovations
26. Latest Patents
27. Technology as a change agent
28. Innovation score
29. The competitive landscape
30. Competitive Profile Matrix (CPM)
31. Brand strength
32. Sentiment score
33. 7Ps marketing analysis
34. CATWOE analysis
35. MOST analysis
36. PESTLE analysis
37. Porters Five Forces
38. SWOT analysis
39. 5C analysis
40. ESG analysis
41. Appendices
The SWOT analysis reports are designed for investors, stakeholders, industry analysts, and business executives seeking a deeper understanding of the companys operations, strategy, financial health, and competitive advantage. They include a wide array of sections that provide a holistic view of the business.
Advanced SystemCare Pro Crack Download 2025bhutbhijan
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Advanced SystemCare Pro is an all-in-one PC optimization utility designed for simplicity and efficiency
Department Of Commerce And Management Indira Gandhi National Tribal University Amarkantak Madhya Pradesh ( IGNTU) (New Business Idea) Course B.com/M.com & B.ba/M.ba Create And making By Sujeet Prajapati B.com 6th Semester And Final Year , Last Year
Securiport Arouna Toure recognizes the importance of supporting biometric scans with top-tier technology and software. The company addresses the challenge of monitoring international travelers by employing advanced data analytics to verify identities against extensive security databases, ensuring accurate, current traveler information with robust tech safeguards.
Top 10 Software Development Companies in USA 2025SoluLab1231
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In todays business world, a top software development company plays an essential role since it serves as the foundation for innovation and technological advancement. These companies are largely responsible for creating one-of-a-kind solutions that meet specific company needs. Custom software development companies in America provide global firms with several benefits, including increased productivity, gaining a competitive advantage in their respective sectors, optimizing operations, and more.
The Role of Data Analytics in Shaping Leadership Trends_ARL_27 March 2025.pptxCharles Cotter, PhD
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The Role of Data Analytics in Shaping Leadership Trends by Dr Charles Cotter at the Africa Rising Leadership Summit and Awards on 27 March 2025. In this keynote presentation Dr Charles highlights three (3) research-based correlations between data analytics and leadership trends (2025 - 2030), namely:
#1. The emergence and conceptualization of Evidence-based Management (EBM) thinking and -practices in transforming x4 organizational pillars into High Performing Organization (HIPO) sub-cultures
#2. The power and value of harnessing data analytics in fuelling Data-driven Leadership best practices
#3. The Future Fit Leadership Code - the four (4) most important currencies that future-fit business leaders trade in, in the context of the Collaborative Intelligence Economy (of the future).
Tran Quoc Bao Named Top Voice in Healthcare and Vietnam LinkedIn Community by...Ignite Capital
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In a significant recognition, Tran Quoc Bao has been named the Top Voice in Healthcare and the Healthcare Community in Vietnam on LinkedIn by Favikon. This prestigious accolade highlights Bao's influential role in shaping the digital health landscape, particularly through his impactful presence on the LinkedIn platform.
As a leading figure in the tech and healthcare sectors, Tran Quoc Bao has leveraged social media to drive important conversations, foster innovation, and connect with a global audience. His expertise and insights have resonated with professionals across various industries, making him a key thought leader in the ever-evolving world of digital healthcare.
By harnessing the power of technology and digital platforms, Bao continues to inspire and engage with healthcare professionals, entrepreneurs, and innovators, positioning himself as a trailblazer in both tech and health. This recognition is a testament to his vision and dedication to advancing the intersection of healthcare and technology in Vietnam and beyond.
Presented by Mr. Thitidej Tularak, Minister-Counsellor, Office of Higher Education, Science, Research and Innovation, Royal Thai Embassy, Washington DC on April 2, 2025
2. SQL AGGREGATE FUNCTION
SQL aggregation function is used to perform the calculation
on multiple rows of a single column of a table. It returns a
single value.
It is also used to summarize the data.
This function ignore the null values except the count
function .
4. TYPES OF SQL AGGREGATION FUNCTION
Count ( ) : Returns the numbers of rows
Sum ( ) : Returns the sum
Avg ( ) : Returns the average value
Max ( ) : Returns the smallest value
Min ( ) : Returns the largest value
5. COUNT FUNCTION
Count function is used to count the number of rows in database table
.It can work on both numeric and non-numeric data types.
Count function uses the count (*) that returns the count of all the
rows in a specific table. Count (*) considers duplicate and null .
This function does not count the null value .
Table name :Employee
6. EXAMPLE :TABLE
NAME DATE PAGES
RAMU 22022-01-12 34
GEETHA 22022-01-12 74
SEETHA 22022-01-12 64
RAM 22022-01-12 94
SUKRIA 22022-01-12 64
7. SYNTAX OF COUNT
Syntax: select count(Pages) from employee;
Count (pages)
5
1 row in set
Syntax: select count (name) from employee;
Count(name)
5
1 row in set
8. SUM FUNCTION
Sum() function is an aggregate function that calculates the sum of
all or distinct values in an expression .
SYNTAX: SELECT SUM (PAGES) FROM EMPLOYEE;
SUM(PAGES)
330
1 ROW IN A SET
9. AVERAGE FUNCTION
The avg function is used to calculate the average value of the
numeric type. Average function returns the average of all non-null
values.
syntax: select avg (pages)from employee;
avg(pages)
66.0000
1row in set
10. MAX FUNCTION
Max function is used to find the maximum value of certain column.
This function determines the largest value of all selected values of
columns.
Syntax: select max (pages) from employee;
Max(pages)
94
1 row in set
11. MIN FUNCTION
The Min function is used to find the minimum value of certain
column. This function determines the smallest value of all selected
values of a column.
syntax: Select min(pages)from employee ;
Min(pages)
34
1 row in set