Geography Reference
In-Depth Information
Tweet
counts
Parallel Coordinate Plot
for socio-demographic
variables; red lines mark
areas with high tweet
numbers
% Working
age
% 65 plus
Employment
rate
City Centre
Number of
jobs
London wards
% Qualifica-
on level 4
Gores-
brock
% No quali-
ficaon
Public trans-
portaon
access
Fig. 5 Parallel coordinate plot of socio-demographic variables (
red
and
orange lines
refer to
tweet hotspot locations)
considerable variability in single variables across tweet hotspots, which is indicated
by the spread of the lines on the axes. In addition, single wards stand out as
different. For example, the ward of Goresbrook, located in the borough
Barking
and Dagenham
in the very East of the study area, reverses the relationship between
inhabitants with no qualification and qualification of level 4. The number of jobs in
the city of London is exceeding the job number of all wards in the study area, which
links back to the high tweeting activity during the day.
Figure
6
shows bar charts with the variables of percent of inhabitants in working
age, above 65 years, employment rate, percent with qualification of level 4 (at least
Bachelor
s degree) and no qualification. The display shows that Londoners in and
around the city centre tend to have a better level of qualification than in the tweet
hotspots in the East, North-East and South. Three hotspots at the outskirts of the
study area show a higher rate of non-qualified inhabitants in comparison to inhab-
itants with level 4 qualifications. Similarities regarding the age of inhabitants and
the employment rate seem to be given across hotspots. However, inhabitants above
65 years tend to be more strongly represented within the city centre. A few hotspots,
especially in the East, show a lower number of people above 65 years.
'
