I have always been envious of some professionals that with their know-how may have an impact on day-to-day life.
Databelow are not coming from scraping, and have been generated usingthis script.
The consequences of this chart?
Lets see how Data Science helped our search!
To extract more insightful knowledge I needed to enhance this dataset.
Unfortunately, this information is quite easy to conceal or craft.
Finally, I enhanced the dataset with some utility fields to make the filtering easier (e.g.
adding a column with the price range).
Google Data Studio
Once I was satisfied with my enhanced dataset, I wanted to create a powerful dashboard.
The data visualization tool I choose for the task is Google Data Studio.
This software has some cons (e.g.
What follows is a diagram the summarizes the entire workflow.
Data below are not coming from scraping, and have been generated usingthis script.
To do so, lets see how to get latitude and longitude using Google API.
Below the snippet to interact with the Cloud platform.
The analysis
Ladies and Gentlemen: thefinal dashboard.
If you want to play around with itjust follow this link.
The map is the most important element of the dashboard.
The charts aim to analyze how the asking price changes depending on some characteristics (e.g.
Finally, a table with the raw data (DL RFstands for Days Listed Random Forest).
Insights
Lets dive into the actual analysis to see what insights we can extract from the dashboard.
First, we need to refine our search criteria.
Even above the Liffey the external areas, i.e.
Do we want to do a more budget-friendly search?
Or we want to look at the best house we can possibly buy with our hard-earned savings?
small rooms, very high renovation costs).
k-means would not work properly on this database).
Cluster 11 is expensive and far away, therefore we can remove this one.
Looking at the more expensive aggregates, number 7 is one of the best in terms of commute.
We identified about 26 properties that we think would be worth viewing before anything else.
Just observe that we didnt even look at a photograph, nor read anything about these houses!
These data cannot help any further, some integrations could improve the analysis.
This article was originally published byAndrea IalentionTowards Data Science.
you might read the piecehere.
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