plot ( color = 'white', edgecolor = 'silver', figsize = ( 16, 16 )) base. read_file ( './TM_WORLD_BORDERS-0.3/TM_WORLD_BORDERS-0.3.shp' ) def draw_map ( df, box ): box_only = df minx, miny, maxx, maxy = box. Them somewhere and, after many iterations, managed to draw a squashed Turns out we need a so-called shape file with borders to draw.
Pointless, obviously, we’d like to put it on a real-world map! Plotting world map This yields a table (or, should I say, a DataFrame) with… 1 million Timestamps and try to extract activity, if available. Essentially I’m parsing lat/longĬoordinates into data structure, parse OK, that’s not technically what feature extractionīut it makes me feel better. Realm of data science, this is called feature extraction. Parsing and cleaning up JSON is what I do for a living. apply ( extract_activity ) return df % time df = parse_json ( pd. get ( "altitude", None )) df = locations. get ( "heading", None )) df = locations. get ( "velocity", None )) df = locations.
to_datetime ( x, unit = 'ms' )) df = locations. GeoDataFrame ( geometry = points ) locations = json. Import pandas as pd import numpy as np import geopandas as gp import shapely.geometry as sg import datetime as dt from matplotlib import cm from matplotlib.lines import Line2D def extract_activity ( record ): try : return record except : return "MISSING" def parse_json ( json ): points = / 10000000 ), json. Python, Jupyter Notebook and some modules for data manipulation: I want to be a scientist! Before we begin, we need some essential tools: In 2020, parsing JSON and making pretty graphs is called data science. MB, so much less, but your mileage may vary. If you don’t want to downloadįacebook also collects your location data, which you can see This dataĪlone is nearly 300 MB in JSON format. To download everything, so I chose location history only. I’m afraid my laptop’s hard drive is not big enough In order to download all data Google collected about you, go toĪre interested in. I never turned off location services because I was valuingĬomfort over privacy. Just a tiny fraction, I looked at geolocation Investigate how much Alphabet corporation, the owner In XXI-century economy, if you are not paying for the Actually, turns out most of the aboveĪre useless… Nevermind, the bottom line is: we use them. Read a stream of consciousness of one President. Mail, maps, photos, storage, videos, and much more. Last decade gave rise toĪnother acronym ABCD: Always Be Collecting Data. In sales, you can hear the acronym ABC: Always BeĬlosing means making a deal with a customer. With Python, Jupyter, Pandas, Geopandas and Matplotlib See how Google is tracking your location.
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