By Adrien SIEG
This is an interactive bar chart in which Parisian trees are both classified in keeping with their respective sizes and places. There are five categories of possibilities when it comes to sizes: [1] From 0m to 3m, [2] From 3m to 6m, [3] From 6m to 10m, [4] From 10m to 14m and finally [5] higher than 14m. For instance, 16,616 trees stand along in Paris' 16th Arrondissment of which 1,604 trees are from 0m to 3m high, 3,345 are from 3m to 6m high, 4,482 trees are from 6m to 10m high, 2,794 are from 10m to 14m high and finally 3,991 are higher than 14m.
Technically speaking, it is possible to play with parameters of the bar chart - by clicking on the height tab to keep away a given parameter.
Source: Open Data Paris
This is an interactive map in which each big point includes smaller ones till getting tree icons. In other words, our map takes the form of 'Russian doll', nested within each other. A tree icon accounts for the position of a given real tree. In Paris there are 201,684 trees spread out over twenty districts. The geographical distribution of trees in Paris is obvoiously skewed. For instance there are height times more trees in the 15th district than they are in the 3th district.
When we consider house prices coming from Parisian lawyers in order to compare with number of trees per district we can draw a major conclusion; The lower the number of trees, the higher house prices. From a top down approach, top 6 expensive districts in Paris are 6th, 7th, 4th, 1st, 5th, 2nd districts. Let's put into perspective house prices with number of trees in Paris. To do so, from a bottom up approach, top 7 of Parisian districts having the lowest number of trees are 2nd, 9th, 3rd, 1st, 6th, 5th, 4th. We notice that the number of trees is negatively correlated to house prices.
When it comes to bar plot, column widths are proportional to house prices.
Visually speaking, we can plot house prices in keeping with number of trees in a different way.
Source: Open Data Paris
Here is the dataset we used.