Minor cleanup suggestions

README.md

@@ -1,10 +1,11 @@
-# Renewable Energy Power Plants Data Package
+# Open Power System Data: Renewable Energy Power Plants
 
-This repository contains scripts to create a list of renewable power plants in Germany. It uses data from the German Federal Network Agency (Bundesnetzagentur, BNetzA) and from the transparency platform (Netztransparenz) of the German Transmission System Operators (TSOs).
+This repository contains scripts to create lists of renewable power plants in Germany, Denmark, France and Poland, and daily time series of cumulated installed capacity per energy source type for Germany.
 
-See main.ipynb for further details.
+See [main.ipynb](main.ipynb) for further details.
 
 ## License
 
-The scripts in this datapackage are published under the [MIT license](http://www.gnu.org/licenses/gpl-3.0.en.html)    
-The scripts in this datapackage are developed by the project [Open Power System Data [OPSD]](http://open-power-system-data.org)
+The scripts in this data package are published under the [MIT license](LICENSE.md).
+
+The scripts in this data package are developed by the project [Open Power System Data (OPSD)](http://open-power-system-data.org).

download_and_process.ipynb

@@ -91,8 +91,6 @@
    },
    "outputs": [],
    "source": [
-    "# importing all necessary Python libraries for this Script\n",
-    "\n",
     "from collections import OrderedDict\n",
     "import io\n",
     "import json\n",

main.ipynb

@@ -36,10 +36,10 @@
     "# 3. About this Data Package\n",
     "We provide data in different chunks, or [Data Packages](http://frictionlessdata.io/data-packages/). The one you are looking at right now, [Renewable power plants](http://data.open-power-system-data.org/renewable_power_plants/), contains\n",
     "\n",
-    "* lists of renewable energy-based power plants of Germany, Denmark, France and Poland\n",
+    "* lists of renewable energy power plants of Germany, Denmark, France and Poland\n",
     "* daily time series of cumulated installed capacity per energy source type for Germany.\n",
     "\n",
-    "Due to different data availability, the power plant lists are of different accurancy and partly provide different power plant parameter. Due to that, the lists are provided as seperate csv-files per country and as separate sheets in the excel file.\n",
+    "Due to differing data availability, the power plant lists are of variable accurancy and partly provide different power plant parameters. Therefore the lists are provided as separate CSV files per country and as separate sheets in the Excel file.\n",
     "\n",
     "* Germany: More than 1.7 million power plant entries, all renewable energy plants supported by the German Renewable Energy Law (EEG)\n",
     "* Denmark: Wind and phovoltaic power plants with a high level of detail\n",
@@ -85,7 +85,7 @@
     "[Table with notation and abbreviations]\n",
     " \n",
     "# 6. License\n",
-    "This Jupyter Notebook as well as all other documents in this repository is published under the [MIT License](https://opensource.org/licenses/MIT)."
+    "This Jupyter Notebook as well as all other documents in this repository is published under the [MIT License](LICENSE.md)."
    ]
   }
  ],

requirements.yml

@@ -1,11 +1,18 @@
 name: renewable_power_plants
+
+channels:
+  - conda-forge
+  - anaconda
+
 dependencies:
-- bokeh=0.12.2=py35_0
-- jupyter=1.0.0=py35_3
-- numpy=1.11.1=py35_0
-- pandas=0.18.1=np111py35_0
-- pyyaml=3.12=py35_0
-- requests=2.11.1=py35_0
-- xlsxwriter=0.9.3=py35_0
-- pip:
-  - utm==0.4.1
+  - python=3.5
+  - bokeh=0.12.2
+  - notebook  # jupyter notebook
+  - numpy=1.11.1
+  - pandas=0.18.1
+  - pyyaml=3.12
+  - requests
+  - xlsxwriter
+  - pip:
+    - utm==0.4.1
+