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Exploratory Data Analysis Quiz

Exploratory Data Analysis Quiz

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Questions and Answers

What are the steps involved in solving problems with data according to the lecture?

collect & understand data, clean & format data, use data to create solution

Where does internal data come from, as mentioned in the lecture?

business-centric data in organizational databases recording day to day operations, scientific or experimental data

What are the sources of existing external data mentioned in the lecture?

public government databases, stock market data, Yelp reviews

What are the cautionary notes mentioned about using online data, as per the lecture?

<p>not all data that is accessible is good to be used</p> Signup and view all the answers

What are the two methods mentioned for obtaining online data in the lecture?

<p>using software, scripts or by-hand extracting data from what is displayed on a page or what is contained in the HTML file, web scraping</p> Signup and view all the answers

From what sources can internal data be obtained, as mentioned in the lecture?

<p>Internal data can be obtained from business-centric data in organizational databases recording day-to-day operations and scientific or experimental data.</p> Signup and view all the answers

What caution is mentioned about using online data, as per the lecture?

<p>The caution mentioned is that not all data that is accessible is good to be used.</p> Signup and view all the answers

What are the two methods mentioned for obtaining online data in the lecture?

<p>The two methods mentioned are obtaining data from APIs (e.g. Google Map API, Facebook API, Twitter API) and web scraping, which involves extracting data from what is displayed on a page or what is contained in the HTML file.</p> Signup and view all the answers

What are the sources of existing external data mentioned in the lecture?

<p>Existing external data sources mentioned are public government databases, stock market data, and Yelp reviews, which are usually (somewhat) pre-processed.</p> Signup and view all the answers

What are the steps involved in solving problems with data according to the lecture?

<p>The steps involved are collecting and understanding data, cleaning and formatting data, and using data to create a solution through data analysis and/or machine learning.</p> Signup and view all the answers

Flashcards

Internal data source

Data originates from internal business operations and experimental data within an organization.

External data source

Data collected from sources outside the organization, such as public databases or stock markets.

Online data caution

Not all accessible online data is suitable for use; it depends on the quality and the source.

Web scraping

Extracting data from websites by programmatically analyzing webpage content.

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Data problem-solving steps

Steps are collecting/understanding, cleaning/formatting, and creating a solution using data analysis or machine learning.

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Data collection

Gathering data from various sources, internal or external.

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Data cleaning

Ensuring data accuracy, consistency, and relevance for analysis.

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Data formatting

Organizing data into a suitable structure for analysis or machine learning.

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Online data sources (APIs)

Data retrieved programmatically through application programming interfaces like Google Maps or Facebook.

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Data Analysis/ML Solution

Using data to build a solution through analysis or machine learning techniques.

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Study Notes

Data Science Overview

Data science involves solving problems with data, which can be related to scientific, social, or business issues.
The process of data science includes:
Collecting and understanding data
Cleaning and formatting data
Using data to create a solution through data analysis and/or machine learning

Data Sources

Internal Sources

Data from organizational databases recording day-to-day operations
Scientific or experimental data

Existing External Sources

Data available for free or a fee
Examples include:
Public government databases
Stock market data
Yelp reviews
Typically, this data is somewhat pre-processed

Collecting Your Own Data

Beyond the scope of this course

Online Data

Typically raw data from APIs (e.g. Google Map API, Facebook API, Twitter API)
Web scraping:
Extracting data from what is displayed on a page or what is contained in the HTML file
Caution: not all accessible data is good to be used

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