step data exploration it' not lupus it' never lupus--dr house of house data exploration is what marks this case studybecause the primary goal of the project (disease diagnosticsis specific way of exploring the data by querying for disease symptoms figure shows several data exploration techniquesbut in this case it' non-graphicalinterpreting text search query results data science process setting the research goal retrieving data data preparation simple graphs combined graphs data exploration link and brush nongraphical techniques text search figure data science process step data exploration the moment of truth is herecan you find certain diseases by feeding your search engine their symptomslet' first make sure you have the basics up and running import the elasticsearch library and define global search settingsfrom elasticsearch import elasticsearch client elasticsearch(indexname "medicaldoctype="diseasessearchfrom searchsize you'll return only the first three resultsthe default is five elasticsearch has an elaborate json query languageevery search is post request to the server and will be answered with json answer roughlythe language consists of three big partsqueriesfiltersand aggregations query takes in search keywords and puts them through one or more analyzers before the words are looked up in the index we'll get deeper into analyzers bit later in this filter takes keywords like query does but doesn' try to analyze what you give itit filters on the conditions we provide filters are thus less complex but many times more efficient because