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The Data Visualization Workshop

You're reading from   The Data Visualization Workshop A self-paced, practical approach to transforming your complex data into compelling, captivating graphics

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Product type Paperback
Published in Jul 2020
Publisher Packt
ISBN-13 9781800568846
Length 536 pages
Edition 1st Edition
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Authors (2):
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Mario Döbler Mario Döbler
Author Profile Icon Mario Döbler
Mario Döbler
Tim Großmann Tim Großmann
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Tim Großmann
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Toc

5. Plotting Geospatial Data

Activity 5.01: Plotting Geospatial Data on a Map

Solution:

Let's plot the geospatial data on a map and find the densely populated areas of cities in Europe that have population of more than 100,000:

  1. Create an Activity5.01.ipynb Jupyter notebook in the Chapter05/Activity5.01 folder to implement this activity and then import the necessary dependencies:
    import numpy as np
    import pandas as pd
    import geoplotlib
  2. Load the world_cities_pop.csv dataset from the Datasets folder using pandas:
    #loading the Dataset (make sure to have the dataset downloaded)
    dataset = pd.read_csv('../../Datasets/world_cities_pop.csv', \
                          dtype = {'Region': np.str})

    Note

    If we import our dataset without defining the dtype attribute of the Region column as a String type, we will get a warning telling us that...

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