EDA Python - 21-Pandas_Geo_1

EDA Python - 21-Pandas_Geo_1

Assessment

Interactive Video

Information Technology (IT), Architecture, Geography, Science

University

Practice Problem

Hard

Created by

Wayground Content

FREE Resource

This tutorial covers plotting COVID-19 data on a map using GeoPandas. It begins with setting up the necessary libraries and downloading data from Johns Hopkins University. The tutorial then guides through creating a world map, filtering data for European countries, and plotting it. It also includes steps for cleaning and optimizing data for better visualization, culminating in an improved map with aggregated data for each country.

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10 questions

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1.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Which library is essential for plotting geographical data in this tutorial?

NumPy

Seaborn

GeoPandas

Matplotlib

2.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Which library is used to handle geometric operations in this tutorial?

Pandas

Shapely

NumPy

Matplotlib

3.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What type of data is downloaded from Johns Hopkins University for this tutorial?

Weather data

COVID-19 data

Population data

Economic data

4.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the primary focus of the geographical data in this tutorial?

American countries

European countries

Asian countries

African countries

5.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Which country is specifically excluded from the EU data in the tutorial?

France

Germany

Russia

Italy

6.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the purpose of setting axis values when plotting the map?

To change the map color

To focus on a specific region

To add labels

To increase map size

7.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the main reason for normalizing marker sizes in the plot?

To fit them on the map

To make them invisible

To make them proportional to data

To make them colorful

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