Getting started with Coinmarketcapr

Basic Functions without API-key

This package contains four primary functions:

• get_valid_currencies()
• get_global_marketcap()
• get_marketcap_ticker_all()
• plot_top_currencies()

Getting Valid Currrenices

This function get_valid_currencies() lists a character vector with all the valid currencies (ISO Codes) supported by Coinmarketcap API. These currency codes can be used in other functions like get_global_marketcap() to extract values in the given currency.

library(coinmarketcapr)
get_valid_currencies()
#>  [1] "AUD" "BRL" "CAD" "CHF" "CLP" "CNY" "CZK" "DKK" "EUR" "GBP" "HKD" "HUF"
#> [13] "IDR" "ILS" "INR" "JPY" "KRW" "MXN" "MYR" "NOK" "NZD" "PHP" "PKR" "PLN"
#> [25] "RUB" "SEK" "SGD" "THB" "TRY" "TWD" "ZAR" "USD"

Getting Global Marketcap

The function get_global_marketcap() fetches the USD value of global marketcap of all cryptocurrencies.

library(coinmarketcapr)
coinmarketcapr::setup()
get_global_marketcap()
#> ⚠ The old API is used when no 'apikey' is given.
#>   total_market_cap_usd total_24h_volume_usd bitcoin_percentage_of_market_cap
#> 1          2.02011e+11          53868397517                            65.45
#>   active_currencies active_assets active_markets        last_updated
#> 1               841          1507          20660 2019-12-03 18:37:35

Extracting all Cryptocurrencies

The function get_crypto_listings() gets various useful values such as Price, Marketcap, Total Volume, 24-hour Change and much more for all the cryptocurrencies.

library(coinmarketcapr)
names(get_crypto_listings())
#> ⚠ The old API is used when no 'apikey' is given.
#>  [1] "id"                 "name"               "symbol"            
#>  [4] "rank"               "price_usd"          "price_btc"         
#>  [7] "X24h_volume_usd"    "market_cap_usd"     "available_supply"  
#> [10] "total_supply"       "max_supply"         "percent_change_1h" 
#> [13] "percent_change_24h" "percent_change_7d"  "last_updated"

Plotting Top Cryptocurrencies

The function plot_top_currencies() makes it straightforward to make a barplot of top cryptocurrencies by their rank, based on Market cap.

library(coinmarketcapr)
plot_top_currencies('USD',5)

Plotting Top 5 Cryptocurrencies

Plotting with Themes

plot_top_currencies() outputs a ggplot object hence using + operator a new ggplot2 theme can be applied. ggthemes package offers a rich set of out-of-the-box themes.

library(ggthemes)
plot_top_currencies() + 
        theme_economist()

Plot with Themes

Cryptocurrencies Market - Tidy Analysis

Since coinmarketcapr’s get_crypto_listings() returns a dataframe, it could be fit in alongside with Tidy Data pipeline.

library(coinmarketcapr)
library(dplyr)
#> 
#> Attaching package: 'dplyr'
#> The following objects are masked from 'package:stats':
#> 
#>     filter, lag
#> The following objects are masked from 'package:base':
#> 
#>     intersect, setdiff, setequal, union
library(ggplot2)

get_crypto_listings() %>% 
        slice(1:30) %>% 
        mutate(price_usd = as.numeric(price_usd)) %>% 
        ggplot() + geom_histogram(aes(price_usd), binwidth = 100) +
        ggtitle('Cryptocurrencies Price in USD Histogram')
#> ⚠ The old API is used when no 'apikey' is given.

Cryptocurrencies Price in USD Histogram

Courtesy

Coinmarketcapr is powered by Coinmarketcap.com https://coinmarketcap.com/api/