Merja Kajava presented on analyzing city bike usage data through open spatial data and APIs. The presentation looked at how location and weather in Helsinki affected bike usage over 24 hours on a Friday in June 2019. By accessing bike usage and weather data through APIs and analyzing the data using open source tools, the presentation identified relationships between higher bike usage, warm weather with more available bikes, and different locations around Helsinki. The takeaways were on evaluating data accessibility, suitable sample sizes, and using multiple tools to analyze spatial data accessed through APIs.

1. 1
AAVISTA OY
Merja Kajava
APIOps Meetup
SPATIAL OPEN DATA
WITH APIS
18.6.2019

2. 2
MERJA KAJAVA
Founder
Senior Consultant

3. COMBINE API + SPATIAL DATA
3
BY USING OPEN SOURCE TOOLS

4. DATA SOURCES
ANALYZE CITY BIKE USAGE USING OPEN DATA
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WEATHERSPATIAL DATA
GraphQL REST REST

5. 5
HOW DOES LOCATION
AFFECT CITY BIKE USAGE?

6. 6
24 H
HELSINKI
FRIDAY
JUNE 14, 2019

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FIVE LOCATIONS IN HELSINKI DURING 24 H

8. 8
HOW DOES WEATHER
AFFECT CITY BIKE USAGE?

9. TEMPERATURE EFFECT
9
More free spaces
available during
warm weather
-> More bikes in use

10. TEMPERATURE EFFECT
10

11. TAKE-AWAYS
Evaluate whether the data is accessible
Identify what are the suitable sample sizes
Analyze the data using several tools
USING SPATIAL DATA WITH APIS

12. The Data Refinery Company
12
MERJA KAJAVA
@mkajava