ISSS608 2018-19 T1 Assign Chen Jingyi Task 1

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O706xof6f9b3e2b8.jpg Observable Effects of Bulgaria Air Pollution Crisis

Overview

Data Preparation

Task 1

Task 2

Task 3

 


Basic findings

1.Difference in monthly trend of each station in 5 years Overall trend: there's no significant difference among the yearly average pollutant indicator of different stations in 2013-2016, but there is a

significant drop in 2018 compared to 2016 data. 


overall trend among months almost the same pattern, highest in late autumn and winter (oct to jan), lowest in spring and summer(mar to sep). extreme peaks in winter- not getting better or even rising.

A typical day in Sofia.


biased:1We also observed that ten months' records are missing in 2017, which makes the data in 2017 highly biased. Orlov most stop collecting data after 2015, and it only records data at midnight. Hour and var: data only consistent from Nov 2017 to Sep 2018, others just random collection from several months, which is weird. for the “hour and var” type, data are collected only from 2015 and onwards(Druzhba only 2016 and onwards), day: Strange: no 2017 data, 2018 only April and May AveagingTime type is inconsistent throughout the data,the difference between day, hour and var may cause some bias

Interesting trends

Anomalies

Possible influences of anomalies

A typical day for Sofia city

Data visualization and application design