Question
This is using python problem sales.csv (sample provided with the lab) that contains sales of land in various parts of the UK for years of
This is using python problem
sales.csv
(sample provided with the lab) that contains
sales of land in various parts of the UK for years of 2012-2014. The file consists of 4 columns: the area and the 3
years of sales numbers. It will calculate the following stats (printing to screen optional): Areas with average sales
across the three years in the ranges 0-3000, 3001-5000, >=5001. It should generate a CSV file (columns separated by
commas, rows separated by newlines (
).
Note that the rows do not have to be in any particular order.
It should create a table similar to the following (table incomplete):
--------------------------------------------------------------------------
--------------------------------------
this is what inside the csv file
Area,Sales-2012,Sales-2013,Sales-2014
City of London,195,429,267
Barking and Dagenham,1316,1746,2028
Barnet,3973,4738,4794
Bexley,2815,3349,3827
Brent,2021,2442,2795
Bromley,4764,5454,5963
Camden,2365,2936,2665
Croydon,3559,4811,5748
Ealing,3189,3815,3291
Enfield,2752,3367,3647
Greenwich,2730,3468,4358
Hackney,2533,2701,2771
Hammersmith and Fulham,2558,2993,2745
Haringey,2398,2655,2798
Harrow,2221,2544,2661
Havering,2771,3547,4086
Hillingdon,3199,3332,3596
Hounslow,2317,2837,3142
Islington,2784,2999,2724
Kensington and Chelsea,2191,2648,2603
Kingston upon Thames,2301,2747,2949
Lambeth,3875,4908,4726
Lewisham,3283,4197,4345
Merton,2722,3220,3016
Newham,1683,2330,2822
Redbridge,2464,2946,3529
Richmond upon Thames,3212,3605,3342
Southwark,3310,4246,3797
Sutton,2528,2998,3325
Tower Hamlets,3507,4370,4899
Waltham Forest,2277,2874,3400
Wandsworth,5205,6250,5800
Westminster,3169,3631,3439
Inner London,39056,47293,46401
Outer London,53131,63840,69497
North East,25629,29970,34330
North West,68322,84256,99008
Yorkshire And The Humber,54827,66383,77019
East Midlands,53574,65171,76687
West Midlands,55547,66789,77939
East,79016,95353,110144
London,92187,111133,115898
South East,120269,144435,163224
South West,74559,89618,103042
England,623930,753108,857291
Wales,29685,36117,41383
England & Wales,653615,789225,898674
>=5001 Bromle Wandsworth 3001-5000 0-3000 City of LondonBarnet Barking and Dagenhanm CroydenStep by Step Solution
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