Assignment ZUOANNA Task 1
Spatio-temporal Analysis of Official Air Quality
Data Preperation
Know Your Data
| Station | Timeseries(Original records for each year) | Consolidation(Exclude title) |
|---|---|---|
| Station 9421 | 2013_Day(358), 2014_Day(365), 2015_Day(357), 2016_HD(464), 2017_HV(777), 2018_H(5965) | 8,280 Records |
| Station 9484 | 2013 _Day(314), 2014_Day(342), 2015_Day(264) | 917 Records |
| Station 9572 | 2013_Day(365), 2014_Day(345), 2015_DH(347), 2016_DH(453), 2017_HV(777), 2018_DH(6097) | 8,378 Records |
| Station 9616 | 2013_Day(344), 2014_Day(363), 2015_DH(352), 2016_DH(465), 2017_HV(776), 2018_DH(5449) | 7,744 Records |
| Station 9642 | 2013_Day(364), 2014_Day(360), 2015_DH(358), 2016_DH(514), 2017_HV(752), 2018_DH(6051) | 8,393 Records |
| Station 60881 | 2018_DH(6005) | 6,004 Records |
| Consolidate All Stations | 2013 - 2018 | 39,715 Records |
* Note 1. DH represent for Day and Hour which means that the Concentation of the polutant was recorded either by Days or Hours over the relanvent period. If the station records the concentration by day, each day should have only one reacing. But if the station records the concentration by hour, each hour have only one reading and each day will have 24 readings. 2. HV represent Hour and Var(showed by dataset). From the data, it is noticed that both of them represent the measurment for concentration by hour. 3. Finally, we will want all the records from above six stations consolidate together, so it is more convenient to make interactive visualization in Tableau by filtering the station, year and method of the measurement(by day or by hour).
