The provided code seems to be a mix of R and Python. To extract the required data from the webpage, we need to use rvest and RSelenium. Here’s an example of how you can modify the code: library(rvest) library(RSelenium) # Launch browser url = 'https://en.trend.az/archive/2021-11-02' driver <- rsDriver(browser = c("firefox")) remDr <- driver["client"] # Navigate to the webpage remDr$navigate(url) # Wait for the page to load Sys.sleep(2) # Click outside in an empty space remDr$findElement(using = "xpath", value = '/html/body/div[1]/div/div[1]/h1')$clickElement() webElem <- remDr$findElement("css", "body") # Scroll to the end of webpage for (i in 1:17) { Sys.

Introduction to Video Streaming on iPhone: Understanding the Limitations and Guidelines When developing an app that plays video content over Wi-Fi or 3G on an iPhone, it’s essential to understand the limitations and guidelines imposed by Apple. In this article, we’ll delve into the world of video streaming on iOS devices, exploring the requirements for apps, HTTP Live Streaming, and the importance of providing a good user experience. Background: The Evolution of Video Streaming The concept of video streaming has come a long way since its inception in the early 2000s.

Extracting Data from Power BI PBIX Files using SQL and R Power BI PBIX files contain a wealth of data, but extracting this data can be a challenging task, especially when dealing with Power BI-generated tables that use formulas. In this article, we will explore how to extract data from Power BI PBIX files using SQL and R. Introduction to Power BI PBIX Files A Power BI PBIX file is a binary format that contains the data model, analysis, and visualizations created in Power BI Desktop or Power BI Service.

Understanding MySQL’s Row Number Issue with ORDER As a technical blogger, I’ve come across numerous questions and issues related to MySQL’s row numbering functionality. In this article, we’ll delve into the intricacies of MySQL’s ROW_NUMBER() function and explore how it interacts with the ORDER BY clause. Introduction to MySQL’s ROW_NUMBER() Function MySQL’s ROW_NUMBER() function is used to assign a unique number to each row within a result set. It’s often used in conjunction with other window functions, such as RANK() or DENSE_RANK().

Understanding SQL Procedures and Date Functions: A Deep Dive into Calculating Total Sales by Rayon for Previous Year Introduction In this article, we’ll delve into the world of SQL procedures, specifically focusing on a query that calculates total sales by rayon for a given date range. We’ll explore how to extract current and previous dates from a stored procedure, understand the importance of date functions in SQL, and discuss common pitfalls that might lead to unexpected results.

Understanding Dimension and Aspect Ratio in Multi-Plot Figures ===================================================== As a data scientist or analyst, creating visualizations of complex data can be a daunting task, especially when dealing with multiple plots. One common challenge is ensuring that the output figure remains readable and aesthetically pleasing, even for long multi-plot figures. In this article, we will explore how to set dimensions for long multi-plot figures in R using the patchwork package. We’ll delve into the world of aspect ratios, device sizes, and techniques for optimizing visualizations.

Drawing a Line on a Map as per User’s Location (GPS) in iPhone SDK Introduction The iPhone SDK provides an excellent way to integrate maps into your iOS applications. One of the features that can enhance the user experience is drawing lines on the map based on their location changes. In this article, we will explore how to achieve this functionality and also measure the distance between two points. Understanding GPS Location Before diving into the code, it’s essential to understand how GPS works.

Counting Rows Meeting Multiple Conditions in a DataFrame In this article, we will explore how to count the number of rows in a dataframe that meet multiple conditions. We will use R as our programming language and the dplyr package for data manipulation. Introduction When working with data, it’s often necessary to filter or subset datasets based on certain criteria. In this case, we’re interested in counting the number of rows where patients meet at least two, three, or four out of a set of conditions.

Understanding HDF5 Files and PyTables Warnings Introduction to HDF5 Files HDF5 (Hierarchical Data Format 5) is a binary format for storing large datasets. It’s widely used in scientific computing, data analysis, and machine learning for storing and managing complex data structures. HDF5 files are often used as an intermediary step between software applications and data storage systems. PyTables is a Python extension that provides a high-level interface to the HDF5 file format.

Understanding the eem_import_dir Function in R The eem_import_dir function from the staRdom package is designed to read and combine multiple files with a specific pattern. However, when this function is called, it seems that only one file is being read at a time, and not all combined as expected. Background on R’s File System Navigation In R, file system navigation can be complex due to the nature of the operating system.