When working with large datasets, it is often necessary to extract specific information from a given column. In particular, one common task is calculating the year from the "CreatedBy" date in a column. This can be a crucial step in data analysis and can provide valuable insights into patterns and trends.
To begin, let's first understand what is meant by the "CreatedBy" date. This refers to the date when a particular record or entry was created in the dataset. This information is typically stored in a specific column and can be in various formats, such as "MM/DD/YYYY" or "DD/MM/YYYY."
The first step in calculating the year from the "CreatedBy" date is to identify the format in which the date is stored. This is crucial as the method of extraction will depend on the format. For instance, if the date is stored in the "MM/DD/YYYY" format, we will need to extract the first four characters, which represent the year. Similarly, if the date is in the "DD/MM/YYYY" format, we will need to extract the last four characters to get the year.
Once we have identified the format, the next step is to use HTML tags to extract the year from the "CreatedBy" date column. For example, if the date is in the "MM/DD/YYYY" format, we can use the <code>substring</code> tag to extract the first four characters. The syntax for this would be <code>=substring(CreatedBy, 1, 4)</code>, where "CreatedBy" is the name of the column and "1" represents the starting position, and "4" represents the number of characters to be extracted.
On the other hand, if the date is in the "DD/MM/YYYY" format, we can use the same <code>substring</code> tag, but with a different syntax. In this case, the syntax would be <code>=substring(CreatedBy, 6, 4)</code>, as we need to extract the last four characters starting from the sixth position.
Once we have extracted the year, we can use it for further analysis or visualization. For instance, we can use it to create a graph showing the number of records created each year, which can provide insights into the growth or decline of a specific entity over time.
It is worth noting that the above method of extracting the year from the "CreatedBy" date column is just one approach. Depending on the dataset and the desired outcome, there can be various other methods to achieve the same result. For instance, we can also use the <code>year</code> tag to extract the year directly from the date column. The syntax for this would be <code>=year(CreatedBy)</code>. This method is particularly useful when working with larger datasets, as it can save time and effort.
In conclusion, calculating the year from the "CreatedBy" date in a column is a crucial step in data analysis. By using HTML tags, we can easily extract the year from the date column, which can then be used for further analysis. With the right approach and tools, we can unlock valuable insights and trends from our data, helping us make informed decisions and drive growth.
