Understanding the Problem: Selecting Every Newest Row for Specific Values In this article, we will delve into the world of SQL queries and explore how to select every newest row for specific values in a table. We will use an example to illustrate the problem and provide a step-by-step solution. Background and Context The problem presented is common in data analysis and reporting scenarios where we need to identify the latest occurrence of a specific value or condition in a dataset.

Explaining Non-Packaged Functions in R: A Comprehensive Guide Introduction R is a powerful programming language with an extensive collection of libraries and packages. One of the key features of packaging functions into a library is the ability to add help text, which can be incredibly helpful for users who are unfamiliar with the code or need clarification on how to use it. However, in some cases, creating a custom package might not be feasible or desirable.

Eliminating X-Axis Gaps in ggplot Line Charts In this article, we’ll explore how to remove the gaps that appear on either side of the x-axis when creating a line chart using ggplot. We’ll dive into the world of scales and limits, and learn how to fine-tune our plots to eliminate these unwanted gaps. Understanding Scales in ggplot Before we begin, let’s take a step back and understand the basics of scales in ggplot.

Turning Separate iPad/iPhone Targets into Universal App Introduction to Universal Applications In recent years, Apple has introduced a feature called Universal Apps, which allows developers to create a single app that can run on both iPhone and iPad devices. This feature was initially introduced with iOS 11 and has since become increasingly popular among developers. In this article, we will explore how to turn separate iPad/iPhone targets into a universal app.

To find the average temperature for San Francisco International Airport (SFO) 1 year ago, you can use the following BigQuery query: WITH data AS ( SELECT * FROM `fh-bigquery.weather_gsod.all` WHERE date BETWEEN '2018-12-01' AND '2020-02-24' AND name LIKE 'SAN FRANCISCO INTERNATIONAL A' ), main_query AS ( SELECT name, date, temp , AVG(temp) OVER(PARTITION BY name ORDER BY date ROWS BETWEEN 366 PRECEDING AND 310 PRECEDING ) avg_temp_over_1_year FROM data a ) SELECT * EXCEPT(avg_temp_over_1_year) , (SELECT temp FROM UNNEST((SELECT avg_temp_over_1_year FROM main_query) WHERE date=DATE_SUB(a.

Deleting Every Nth Row from a Result Set In this article, we’ll explore how to delete every nth row from a result set in SQL. This is a common task that can be achieved using various techniques, including window functions and computed index columns. Introduction The problem statement presents a scenario where an IoT device logs state data multiple times a day and retains it for 1 year. The goal is to keep only 1 month of every state change but delete every other state change for data older than 1 month.

I can solve this problem. Here is the final code: library(dplyr) df %>% mutate(DateTime = as.POSIXct(DateTime, format = "%d/%m/%Y %H:%M"), Date = as.Date(DateTime)) %>% arrange(DateTime) %>% mutate(class = c("increase", "decrease")[(Area - lag(Area) < 0) + 1]) %>% group_by(Date) %>% mutate(prev_max = max(Area), class = case_when( class == "increase" & Area > prev_max ~ "growth", TRUE ~ class)) %>% select(-prev_max) This code first converts DateTime to POSIXct value and Date to Date.

Stopping R Shiny App Refresh Before Multiple Input Selection As a developer working with Shiny applications, you may have encountered situations where the application refreshes data before completing multiple input selections. This can be frustrating and hinder the user experience. In this article, we’ll delve into the world of Shiny, explore why this happens, and discuss potential solutions to prevent the app from refreshing prematurely. Understanding R Shiny’s Default Behavior Shiny applications are built around reactive expressions, which are evaluated on every change to the input values.

Understanding iPhone App Crashes on Jailbroken Devices with iPhone OS 2.2.1 =========================================================== As an iPhone developer, you may have encountered the issue of your apps crashing when debugged on a jailbroken device running iPhone OS 2.2.1. This problem arises due to the UUID mismatch detected with the loaded library and can be caused by the use of libgcc_s. In this article, we’ll explore what causes this issue, how it affects your apps, and provide a solution to debug your apps successfully on jailbroken devices.

Passing Parameters of CTE in View or Stored Procedure As an Oracle database user, you may have encountered situations where you need to dynamically pass parameters to Common Table Expressions (CTEs) within views or stored procedures. This can be a challenging task, but there are several approaches you can take to achieve this. Understanding CTEs and Dynamic Parameters In Oracle, a CTE is a temporary result set that is defined within the execution of a single SQL statement.