week13

we were working on the open data project after mid-break. i used anaconda in mac os, because my virtual machine was running out of storage:( jupyter notebook was like what we experienced in the first week, coding on a web page based environment. and exploring pandas were a lot of fun.

i chose the registered Basix buildings as my dataset. i tried to combine the entries with suburb names from my dataset with the given geographic information and show the location of registered buildings on map using geopandas. that was a good practice of thinking process…

>>make a new column in my dataset with the count of buildings in each suburb

>>make a new frame that only contains the suburb names and the number counts(make the suburb names as the index)

>>merge the new frame with the existing map data (using panda.merge)

then the map is done!