ISSS608 2018-19 T1 Assign Cao Xinjie DataPrep

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WechatIMG8.png Sofia Air Pollution - Be a Visual Detective

Overview

Data Preparation

Visualizations

Dashboard


TASK1 DATA PREPARATION

The data for tsak1 is EEA Data. There totally 28 timeseries data and a metadata. After using JMP to concatenate all the time series data, we use "AirQuantityStation" to be the matching value join the timeseries data and the matadata..

Pre.png

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After joining the data there is 29 Columns and 39715 Rows.

TASK2 DATASET DESCRIPTION

The Air Tube data is for the task2, we use R to join the data and get the Longitude and latitude form the Geohash code. Geohash is a public domain geocoding system invented by Gustavo Niemeyer[1], which encodes a geographic location into a short string of letters and digits. It is a hierarchical spatial data structure which subdivides space into buckets of grid shape, which is one of the many applications of what is known as a Z-order curve, and generally space-filling curves. Geohashes offer properties like arbitrary precision and the possibility of gradually removing characters from the end of the code to reduce its size (and gradually lose precision). As a consequence of the gradual precision degradation, nearby places will often (but not always) present similar prefixes. The longer a shared prefix is, the closer the two places are..

The following figure show the code of R.:

WechatIMG11.png

TOOLS

ggplot2

tidyverse

zoo

shiny