econdb - expand documentation

Author: StochasticDoge

docs/source/remote_data.rst

@@ -30,6 +30,7 @@ Currently the following sources are supported:
     - :ref:`Tiingo<remote_data.tiingo>`
     - :ref:`IEX<remote_data.iex>`
     - :ref:`Alpha Vantage<remote_data.alphavantage>`
+    - :ref:`Econdb<remote_data.econdb>`
     - :ref:`Enigma<remote_data.enigma>`
     - :ref:`Quandl<remote_data.quandl>`
     - :ref:`St.Louis FED (FRED)<remote_data.fred>`
@@ -298,14 +299,36 @@ Econdb
 official statistical agencies. Free API allows access to the complete
 Econdb database of time series aggregated into datasets.
 
-.. ipython:: python
+Reading data for a single series such as the `RGDP <https://www.econdb.com/series/RGDPUS/>`__
+for United States, is as simple as taking the ticker segment from the URL path
+(``RGDPUS`` in https://www.econdb.com/series/RGDPUS/) and passing it in like:
+
+.. code-block:: ipython
 
     import os
     import pandas_datareader.data as web
 
     f = web.DataReader('ticker=RGDPUS', 'econdb')
     f.head()
 
+The code snippet for exporting the whole dataset, or its filtered down subset,
+can be generated by using the Export -> Pandas Python3 functionality
+on any of the numerous datasets available,
+such as the Eurostat's `GDP and main components <https://www.econdb.com/dataset/NAMQ_10_GDP>`__
+
+.. code-block:: ipython
+
+    import os
+    import pandas_datareader.data as web
+
+    df = web.DataReader('dataset=NAMQ_10_GDP&v=Geopolitical entity (reporting)&h=TIME&from=2018-05-01&to=2021-01-01&GEO=[AL,AT,BE,BA,BG,HR,CY,CZ,DK,EE,EA19,FI,FR,DE,EL,HU,IS,IE,IT,XK,LV,LT,LU,MT,ME,NL,MK,NO,PL,PT,RO,RS,SK,SI,ES,SE,CH,TR,UK]&NA_ITEM=[B1GQ]&S_ADJ=[SCA]&UNIT=[CLV10_MNAC]', 'econdb')
+    df.columns
+
+Datasets can be located through Econdb's `search <https://www.econdb.com/search>`__
+engine, or discovered by exploring the `tree <https://www.econdb.com/tree/>`__
+of available statistical sources.
+
+
 .. _remote_data.econdb:
 
 Enigma