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Im trying to build a database of historical performance of Bitcoin and a few other larger coins. To do this I want to extract the main table from this URL (with these particular dates) into r:
https://coinmarketcap.com/currencies/bitcoin/historical-data/?start=20130428&end=20170705
What would be the best package and method to do this in r?
Thanks
The rvest package is helpful here:
library(rvest)
url <-read_html("https://coinmarketcap.com/currencies/bitcoin/historical-data/?start=20130428&end=20170705")
table <- url %>%
html_table() %>%
as.data.frame()
Related
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Is there a R package for this? I´m looking for something similar to qrencoder but in 1D
For now, my walkaround solution is to use python-barcode through reticulate but I would like to use a R library.
library(reticulate)
barcode <- import("barcode")
name <- barcode$generate('EAN13', '7750243002455', output='barcode_svg')
My ultimate goal is to show barcodes of my products on a Shiny app
Have a look at the zintr package, which uses zint.
barcode_print(8675309, "barcode1.png")
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I am successfully using h2o.word2vec function to load pre-trained GloVe embeddings in R.
embed_model <- h2o.word2vec(pre_trained = glove, vec_size = 300)
df_doc_vecs <- h2o.transform(embed_model, tokenized_words, aggregate_method = "AVERAGE")
However, because my production environment will not support H2O, I need to find another package with similar functionality. Specifically I just need to be able to replace h2o.word2vec and h2o.transform with something else to:
[1] Use GloVe or any other pre-trained embeddings
[2] Create sentence or document level vectors out of them
Any suggestions? Has to be in R...
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I would like to simulate in R, N Bernoulli/Binary random variables with a prescribed correlation. I have been using the package (MultiOrd) with the function
generate.binary.
However, it is too slow. Is there a computationally fast way to do this in existing packages? Thanks.
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I want to classify Sentinel-2 data using ANN. If anyone knows how to do it in R. Please let's me know
df<-read.csv(file.choose())
head(df)
You can use this code to read data in R
Set working directory before running this code
Sentinel<-list.files(pattern = "tif$",full.names = T)
Sentinel<-stack(Sentinel)
# Check the data
head(Sentinel)
Sentinel
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I'd like to learn more information on %>% in R programming.
I have tried googling and researching the issue but have come up empty handed.
I have also searched overflorw but no information was found.
Any links or resources would be greatly appreciated
This is part of the magrittr package, where the link to the left provides an excellent introduction.
The %>% is beginning to be incorporated into other packages, although it can be used with any functions to pipe the output into the first argument input to a second function. The %>% operator can also be chained.