What are the data types in r programming
R supports six basic data types: numeric, integer, logical, complex, character, and raw. These data types represent different types of information and are used for different purposes.
R supports six basic data types: numeric, integer, logical, complex, character, and raw. These data types represent different types of information and are used for different purposes.
Excel is a powerful tool that offers numerous functions and capabilities to streamline our tasks, including the ability to convert dates into ages in years. Whether you want to determine the age of your employees, track the progress of a project, or simply calculate how many years have passed since an important event, Excel can provide a simple solution. In this article, we will explore step-by-step instructions on how to convert dates to ages using various formulas and functions within Excel. By mastering this skill, you will unlock new possibilities for data analysis and gain valuable insights into time-related trends. So let’s dive in and discover how Excel can effortlessly transform dates into useful age information!
Concatenation is the process of combining or merging text strings, numbers, or cells into a single entity. In Excel, the CONCATENATE function is a powerful tool that allows you to concatenate multiple values together. The syntax of the CONCATENATE function is straightforward: you simply provide the text or cell references you want to join, separated by commas. For example, if you want to combine the contents of cell A1 and B1, you would use the formula =CONCATENATE(A1, B1).
Every time when Microsoft excel launches a new version new excel functions are also been added there. Excel 2023 also has new functions like FILTER, SORT, SORT BY, UNIQUE, SEQUENCE. These all excel functions help us reducing our processing time. Let us see in brief what these functions are and how they work. Let us go through these New Excel Functions in Excel 2023.Excel FILTER function allows us to filter a range of data from a dataset based on some criteria. It is one of the New Excel Functions in Excel 2023. Let us understand first the syntax of Filter formula excel.
In excel we have 5 date and time function that are very important as primary data comes in preformatted in date and time format. To analyze data we need to break these preformatted data into our format. Let’s suppose we got data in data and time format to explore this we need to segregate this into a date, month, year, or hour. Let’s understand how to do it by using excel formulas.
There are two different ways to get the current time in excel. The first way is to use the formula =NOW() formula in excel. It will give the current time along with date.
How to rank in SQL
In this blog, we will understand how to rank in SQL your data. We will first understand what is SQL rank function then dense_rank SQL. Then also understand row number SQL. We will first create SQL table and then insert our data to understand these three functions in SQL i.e. rank function SQL, oracle dense_rank, oracle row_number.
INDEX in SQL
Index in SQL is the most powerful and useful aspect of SQL. It helps in improving the performance of database queries and provides direct and fast access to database rows. The users can’t see indexes they are just used to speed up searches and queries.
oracle case statement
The SQL CASE statement is a logical statement that helps in putting values based on logical arguments. The CASE statement goes through conditions and returns a value when the first condition is met. So, once a condition is true, it will stop reading and return the result. If no conditions are true, it returns the value in the ELSE clause. If no conditions meet the criteria then NULL value will return.
What is View in SQL
View in SQL is a virtual table that is basically a SQL dynamic table. It is created by SQL query and used for quick reference as carrying a long query in SQL is difficult, so we store it in the view as per our comfort.
Group by SQL function
Group by in SQL is a function by which we are grouping column values against record groups. It helps in aggregating columns data and getting summary of values. Group by SQL function is a very useful and frequently used SQL function.
The GROUP BY clause groups records into summary rows.
GROUP BY returns one record for each group.
GROUP BY is used with aggregates like COUNT, MAX, SUM, SUM and AVERAGE.