如何从quantmod和Quandl获取所有可用的数据系列名称?

时间:2023-01-14 13:56:14

I am interested in a large amount of free data from FRED, OECD, BIS, World-bank, etc. All data are macro-economic in nature. I am not really interested in stock price data.

我对FRED, OECD, BIS, World-bank等大量的免费数据感兴趣。所有的数据本质上都是宏观经济。我对股票价格数据并不感兴趣。

I would essentially like to construct a CSV table with all symbols available for me in quantmod and Quandl. I am almost certain this table would be useful for others as well.

我想要构建一个CSV表,其中包含我在quantmod和Quandl中可以使用的所有符号。我几乎确定这张桌子对其他人也有用。

            Symbol,   Title,  Units,  Frequency
              X         X       X       X
              Y         Y       Y       Y

I found a similar question which has no answer. How can i see all available data series from quantmod package?

我发现了一个类似的问题,没有答案。如何从quantmod包中查看所有可用的数据系列?

Is there a way to do this instead of searching FRED, OECD and manually on quandl on country by country and variable by variable level?

是否有一种方法来代替搜索FRED, OECD和手工在国家的quandl上的国家和变量的变量级别?

Thank you.

谢谢你!

1 个解决方案

#1


0  

Doe, on Quandl you can query the API for a dataset search, as described in this link:

Doe,在Quandl上,您可以查询用于数据集搜索的API,如此链接所述:

https://www.quandl.com/docs/api#dataset-search

If you're using the Quandl package, you could use the Quandl.search function to build your query as specified in the above link. Here's the query from the link above using Quandl.search:

如果使用Quandl包,可以使用Quandl。搜索功能,以建立您的查询在上述链接中指定。下面是使用Quandl.search的链接查询:

Quandl.search(query = "crude oil", page = 1, source = "DOE", silent = TRUE)

#1


0  

Doe, on Quandl you can query the API for a dataset search, as described in this link:

Doe,在Quandl上,您可以查询用于数据集搜索的API,如此链接所述:

https://www.quandl.com/docs/api#dataset-search

If you're using the Quandl package, you could use the Quandl.search function to build your query as specified in the above link. Here's the query from the link above using Quandl.search:

如果使用Quandl包,可以使用Quandl。搜索功能,以建立您的查询在上述链接中指定。下面是使用Quandl.search的链接查询:

Quandl.search(query = "crude oil", page = 1, source = "DOE", silent = TRUE)