Connecting SQL Server (On-prem) to PowerApps ===================================================== In this article, we will explore the process of connecting a Microsoft SQL Server instance to PowerApps, a low-code development platform that allows users to create custom web applications without extensive programming knowledge. We’ll dive into the technical details and troubleshooting steps required to resolve common issues when connecting SQL Server (On-prem) to PowerApps. Prerequisites Before we begin, ensure you have: Microsoft SQL Server Express Edition installed on your local machine or in your organization’s environment.

Understanding the Delay in Getting Opening Trade Prices using quantmod The use of financial data, particularly stock prices, is a common practice among traders and investors. One popular package used for this purpose in R is quantmod, which provides an efficient way to fetch historical and real-time data from various sources, including Yahoo Finance. However, users have reported experiencing delays when fetching opening trade prices using quantmod, even after ensuring their code is correct.

Understanding Branch ID Generation Introduction In this article, we will explore a common scenario in data modeling: generating unique identifiers (IDs) that are dependent on the selected branch. This task is particularly relevant in applications where multiple branches or locations need to be supported. Problem Statement Suppose we have a table tblCompany with columns for company ID, first name, last name, and branch. We want to create a primary key column (ID) that increments automatically, but also takes into account the selected branch.

Converting Pandas MultiIndex/PeriodIndex to Dict while keeping values and periods separate In this article, we will explore the process of converting a pandas DataFrame with a multi-indexed structure into a dictionary. The multi-indexed data structure consists of an outer-level index and inner-level indices. We will delve into the code used in Stack Overflow’s example and provide modifications to achieve our desired output. Introduction The pandas library is a powerful tool for data manipulation and analysis in Python.

Adding Horizontal Bars to Whiskers on Percentile-Based Boxplots In this article, we will explore how to add horizontal whiskers to percentile-based boxplots in R using the ggplot2 package. We will also discuss the different types of plots that can be created with boxplots and how to customize their appearance. Introduction to Boxplots A boxplot is a graphical representation of the distribution of a dataset, displaying the five-number summary: minimum value, first quartile (Q1), median (second quartile or Q2), third quartile (Q3), and maximum value.

Creating a New Column with the Minimum of Other Columns on the Same Row Introduction Have you ever wanted to add a new column to a DataFrame that contains the minimum value of certain other columns for each row? This is a common task in data analysis and manipulation, particularly when working with Pandas DataFrames. In this article, we will explore different ways to achieve this goal using Python and the popular Pandas library.

Understanding Font Issues in iOS Development Introduction When developing iOS applications, it’s common to encounter issues related to custom fonts. In this article, we’ll delve into the world of font management on iOS and explore why some fonts might not work as expected. Background: Font Management on iOS On iOS, fonts are managed through the UIFont class, which provides a way to create instances of fonts that can be used in your application.

Organising multiple columns into a row based on another column Introduction Data manipulation is an essential aspect of data analysis and science. One common task that arises during data manipulation is organizing multiple columns into a row based on another column. This can be achieved using various techniques such as grouping, pivoting, and reshaping. In this article, we will explore the different methods to achieve this goal and provide examples using popular R packages like dplyr and tidyr.

SQL Query Simplification Overview As a developer, we have all been there - staring at a complex SQL query that seems to be getting slower by the minute. In this article, we will explore how to simplify a common SQL query and improve its performance. Background The query in question is as follows: SELECT t1.'column_1' FROM table_1 t1 WHERE column_2 IN (51, 17) AND NOT EXISTS (SELECT 1 FROM table_name t2 WHERE t2.

Understanding Relative Paths with readOGR in R and R Markdown Introduction As a data analyst, working with geospatial data can be a fascinating experience. One of the common tasks is to read data from shapefiles or packages using rgdal::readOGR. However, when working with R Markdown documents, we often encounter issues with relative paths that don’t work as expected in both R and R Markdown environments. In this article, we will delve into the reasons behind this behavior and explore ways to write paths that are compatible with both environments.