A few years back I reused some of Vincent Terrasi code on R to look for URL comparison on Similar web. What my first version of the code looked like And it looked like this: # All rights reserved to Vincent Terrasi (@voltek62) and his script api-similarweb.R -> https://gist.github.com/voltek62/784cf6cb29c76c182ae12b0481645fc2 library(httr)...
To read a .parquet file with R, you can use the arrow package, which provides a way to read and write data in the Arrow format, including Parquet. For you, I created an example below: library(arrow) #read the Parquet file into a data.frame data <- read_parquet("example.parquet") #display the data.frame print(data)...
div> I was recently introduced to .parquet extension files. Let me share with you what I learned! Parquet files are popular for storing and processing large datasets in big data environments. Introduction: a few words about the .parquet Parquet file is a columnar storage file format that is commonly used...
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Skipping last column in R while `read.csv` should be done in two steps data <- read.csv("test12.csv") data data[,-ncol(data)] That is when you don't know the number of columns. If you explicitly know, use the code below instead: df <- read.csv("test12.csv")[,-3] This solution come from a stackoverflow post I did https://stackoverflow.com/questions/48597844/skipping-last-column-in-r-with-read-csv &...