data science process to work with the data and turn it into resource that' fast and easy to search here' how you'll apply the process setting the research goal data collection--you'll get your data from wikipedia there are more sources out therebut for demonstration purposes single one will do data preparation--the wikipedia data might not be perfect in its current format you'll apply few techniques to change this data exploration--your use case is special in that step of the data science process is also the desired end resultyou want your data to become easy to explore data modeling--no real data modeling is applied in this documentterm matrices that are used for search are often the starting point for advanced topic modeling we won' go into that here presenting results --to make data searchableyou' need user interface such as website where people can query and retrieve disease information in this you won' go so far as to build an actual interface your secondary goalprofiling disease category by its keywordsyou'll reach this stage of the data science process because you'll present it as word cloudsuch as the one in figure figure sample word cloud on non-weighted diabetes keywords to follow along with the codeyou'll need these itemsa python session with the elasticsearch-py and wikipedia libraries installed (pip install elasticsearch and pip install wikipediaa locally set up elasticsearch instancesee appendix for installation instructions the ipython library the code for this is available to download from the manning website for this book at and is in ipython format note