Calculating Cumulative Sum of Previous Month’s FTE_YTD In this section, we will explore how to update the FTE_YTD calculation to be a cumulative sum of previous month’s values based on CALENDAR_MONTH and CALENDAR_DATE. Current Calculation The current calculation is as follows: SELECT count(*) as Workdays_Month, SAFE_DIVIDE(AMOUNT, SAFE_MULTIPLY((count(*) OVER (PARTITION BY extract(year from date_trunc(CALENDAR_DATE, month)) ORDER BY CALENDAR_DATE)), 7.35)) as FTE_MONTH, count(*) OVER (PARTITION BY extract(year from date_trunc(CALENDAR_DATE, month)) ORDER BY CALENDAR_DATE) as Workdays_YTD, SAFE_DIVIDE(AMOUNT, SAFE_MULTIPLY((count(*) OVER (PARTITION BY extract(year from date_trunc(CALENDAR_DATE, month)) ORDER BY CALENDAR_DATE)), 7.

Using SSIS to Filter Rows Based on Existence of Records in a Destination Server Table Introduction In this article, we will explore how to use SQL Server Integration Services (SSIS) to filter rows based on existence of records in a destination server table. This is particularly useful when you need to transfer data from a source server to a staging area and then further process the data only for records that exist in a specific table on the destination server.

Understanding SQL Connection Establishment in C# WinForms Introduction to SQL Connections in C# When it comes to interacting with a database in a .NET application, establishing a connection is the first step. In this article, we will delve into the world of SQL connections in C#, focusing on establishing a connection and debugging common issues. What is a SQL Connection? A SQL (Structured Query Language) connection is an open link between your application and a database server that allows you to execute SQL commands and retrieve data from the database.

Understanding the Error and Its Causes The error message ValueError: Unable to read workbook: could not read stylesheet from /content/MYFILE.xlsx suggests that the issue lies in the XML structure of the Excel file. The pd.read_excel() function, which is used to read Excel files, relies on a valid XML structure to parse the data. However, if the file contains invalid or corrupted XML, this can cause problems. What is XML and How Does it Relate to Excel Files?

Customizing Data Selection Bars in Seaborn Histograms In this article, we will explore how to customize the bars of a histogram to represent data selection using seaborn. We’ll delve into the world of matplotlib and pandas to understand how to achieve this. Introduction Seaborn is an excellent library for creating informative and attractive statistical graphics. It builds on top of matplotlib and provides a high-level interface for drawing attractive statistical graphics.

Binary Encoding of Factor Columns in DataFrames In this article, we will explore the process of creating binary encoded columns from factor columns in dataframes. We will delve into the technical aspects of this task and provide a step-by-step guide on how to achieve it. Introduction Data frames are a fundamental data structure in R, and they play a crucial role in data analysis and visualization. One common aspect of data frames is the use of factors as column variables.

Understanding GDataXML and XML Data Structures As a technical blogger, it’s essential to delve into the intricacies of GDataXML and its capabilities when dealing with XML data structures. In this article, we’ll explore how GDataXML can be used to parse and manipulate XML data, focusing on the concept of CGPoint in XML. Introduction to GDataXML GDataXML is a C library that provides a set of functions for reading and writing XML data.

DataFrame Merging and Outer Joining with Pandas ============================================= In this article, we will explore how to merge two dataframes that have missing values using pandas’ combine_first function. We’ll also cover a related concept of outer joining and discuss its application in dataframe merging. Introduction Dataframe merging is an essential operation when working with datasets. In many cases, one dataframe may contain existing information while the other contains new or updated data.

Understanding Custom Sorting in R using Factor and Transform In recent months, many R users have encountered an issue with custom sorting variables in non-alphabetical order using the transform function along with factor. This problem has puzzled many, as no updates to R or RStudio seem to have fixed it. In this article, we will delve into the details of how and why this feature stopped working. What is Factor in R?

Understanding Where Clause Operator Precedence in SQL When writing complex SQL queries, it’s essential to understand the operator precedence rules to ensure your queries are executed as intended. One of the most common sources of confusion is the where clause, which uses logical operators such as AND, OR, and parentheses to specify conditions for data selection. In this article, we’ll delve into the world of where clause operator precedence, exploring how these operators interact with each other and providing practical examples to help you write more effective SQL queries.