Use Airquality data and display the AQI based on the input zipcode. This is done using IBM Data Science Experience

Air Quality Data Analysis.ipynb

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                    "text": "The input zipcode 60440 is city Chicago in State IL.\n\nThe Air Quality Index today on 2017-09-27  at 1 hours CST is 34.\n\nThis means the Overall Air Quality is Good.\n", 
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            "source": "# importing the requests library\nimport requests\nimport simplejson as json\n\n# api-endpoint\nURL = \"https://airnowapi.org/aq/observation/zipCode/current\"\n\n# input parameters given here\nzipCode=60440\ndistance=10\nreturnFormat='JSON'\napi_key='3253048F-BBBB-4769-9262-E6FBF7E46475'\n \n# defining a params dict for the parameters to be sent to the API\nPARAMS = {'zipCode':zipCode,'distance' :distance, 'format' :returnFormat, 'api_key' :api_key}\n \n# sending get request and saving the response as response object\nresponse = requests.get(url = URL, params = PARAMS)\n\n# extracting data in json format\ndata = response.json()\n\n# printing the output\nprint (\"The input zipcode %d is city %s in State %s.\\n\" %(zipCode, data[0]['ReportingArea'], data[0]['StateCode']))\nprint (\"The Air Quality Index today on %s at %d hours %s is %d.\\n\" %(data[0]['DateObserved'], data[0]['HourObserved'], data[0]['LocalTimeZone'], data[0]['AQI']))\nprint (\"This means the Overall Air Quality is %s.\" %(data[0]['Category']['Name']))"
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