Moving Average and Rolling Mean by Customer in R In this article, we’ll explore how to calculate the 3-month and 12-month moving average/rolling mean for both volume and GP by customer and product combination in R. We’ll break down the process step-by-step, using the RODBC package to connect to an Excel file containing our data. Understanding Moving Average and Rolling Mean Before we dive into the code, let’s define what a moving average and rolling mean are:

Conditional Panels with TabPanels: A Solution to the Dynamic Tab Display Issue In this article, we will delve into the world of conditional panels and tabpanels in Shiny. We will explore how to create a dynamic tab display using these UI components and address the issue of showing or hiding tabs based on user input. Introduction Conditional panels are a powerful tool in Shiny that allows you to conditionally show or hide content based on certain conditions.

Understanding Raster Layers and Crop Functions in R As a technical blogger, I’m here to guide you through the process of working with raster layers in R. In this article, we’ll explore how to apply a function over a list of raster layers. Introduction to Raster Layers Raster layers are used to represent geospatial data that can be visualized as an image. They consist of rows and columns, where each cell represents a value or attribute associated with the data.

It seems like you’re trying to apply the shapiro.test function to numeric columns in a data frame while ignoring non-numeric columns. Here’s a step-by-step solution to your problem: Remove non-numeric columns: You’ve already taken this step, and that’s correct. Filter out columns with less than 3 values (not missing): Betula_numerics_filled <- Betula_numerics[which(apply(Betula_numerics, 1, function(f) sum(!is.na(f)) >= 3))] I've corrected the `2` to `1`, because we're applying this filter on each column individually.

Extracting a Number from a String in Oracle SQL In this article, we’ll explore how to extract numbers from strings in Oracle SQL. Specifically, we’ll focus on extracting the number that follows the string “DL:”. We’ll discuss various approaches and provide examples to illustrate each method. Understanding the Problem The problem at hand is to extract the number that comes after the string “DL:” in a given string. The input string can be any combination of strings, and the “DL:” can appear anywhere within the string or even at its beginning.

Creating a 2-Factor Bar Plot with Standard Deviation in ggplot2 In this article, we will explore how to create a bar plot that shows the variation of chemical concentration (chemcon) in relation to two independent factors: chemical form (chemf) and day of exposure. We will also include the standard deviation on y for each group. Introduction The ggplot2 library is a powerful data visualization tool in R that provides a consistent and elegant syntax for creating beautiful, informative, and interactive visualizations.

Understanding the Basics of Matplotlib and Data Visualization Matplotlib is a widely used Python library for creating static, animated, and interactive visualizations in python. It provides a comprehensive set of tools for creating high-quality 2D and 3D plots, charts, and graphs. In this article, we will delve into the world of data visualization using Matplotlib and explore how to create a stock graph with labels on each line. Importing Libraries and Setting Up

Understanding UIButton and Touch Events in iOS As a developer, creating custom UI elements like buttons is an essential part of building user interfaces. In this article, we’ll explore how to detect when a custom UIButton has been pressed, specifically focusing on altering its background color when pressed. Introduction to UIButton A UIButton is a subclass of UIView that represents a button in the iOS UI framework. It provides various properties and methods for configuring the button’s appearance, behavior, and interaction with the user.

Understanding the Basics of UITableViews and Cell Heights Overview of UITableView and UITableViewCell A UITableView is a view that displays data in a table format. It consists of rows, columns, and cells. A cell represents an individual row in the table. On the other hand, a UITableViewCell is a subclass of UIView. It’s used to represent a single row (cell) in the table. The cell contains different views such as labels, images, and text fields that display data from your model objects.

Understanding the ORA-01722 Error and Converting VARCHAR2 to NUMBER ORA-01722 is an error message that occurs when attempting to convert a string that contains non-numeric characters to a number. In this article, we will explore the cause of this error and provide solutions for converting VARCHAR2 columns to NUMBER. The Problem with VARCHAR2 Columns The issue arises when trying to transfer data from a VARCHAR2 column in the source table to a NUMBER column in the destination table.