Python Module 2 Quizzes
API stands for: Association for Programmers Interests Application Programming Interface America's Petroleum Institute Automated Python Interface
Application Programming Interface
In Altair, the three ingredients for creating a visualization from data are: Text, numbers, and images Data types, graphical marks, and encoding channels Graphical marks, encoding channels, and interactivity Data types, aggregation, and transformation
Data types, graphical marks, and encoding channels
T/F: Nominal data consist of values that have a specific ordering
False
T/F: REST API allows for sophisticated queries against the data in the server
False
T/F: XQUERY and XPATH are incompatible
False
The main content of a web page is contained in: HTML CSS JS PNG
HTML
XML organizes data in a: Hierarchical tree-like structure Interconnected network-like structure Fractal multi-dimensional structure Flat blockchain structure
Hierarchical tree-like structure
HTML stands for: HoverText Markup Language HyperText Markup Language HyperText Markdown Language HoloText Machine Language
HyperText Markup Language
To express queries, GraphQL uses: SQL JSON XML Regular expressions
JSON
Which of the following can be thought of as ordinal data? Letter grades (e.g., A, A-, B+ ...) Date of birth Movie genre (e.g., Action, Comedy, ...) Height
Letter grades (e.g., A, A-, B+ ...)
country is an example of ____ data: Quantitative Ordinal Temporal Nominal
Nominal
T/F: Altair provides various functions to aggregate data before plotting it
True
T/F: HTML tags can be nested within other tags
True
T/F: In Altair, it is possible to aggregate data before plotting it
True
T/F: Nominal data are also called categorical data
True
T/F: The filter transform creates a new table with a subset of the original data, removing rows that fail to meet a provided predicate test
True
T/F: The window transform performs calculations over sorted groups of data records
True
T/F: XQuery is built on XPath expressions
True
Assuming data is pandas data frame df, which Altair function plots a vertical bar chart of average precip per month? alt.Chart(df).mark_bar().encode(x='precip',y='month') alt.Chart(df).mark_bar().encode(x='month',y='average(precip)') alt.Chart(df).mark_bar().encode(x='month',y='precip') alt.Chart(df).mark_bar().encode(x='average(precip)',y='month')
alt.Chart(df).mark_bar().encode(x='month',y='average(precip)')
The following code is an example of for $x in doc("books.xml")/bookstore/bookwhere $x/price>30order by $x/titlereturn $x/title an XPATH expression an XQUERY query an XML document a regular expression
an XQUERY query
Grouping continuous data into discrete groups is called: coarsening grouping thresholding binning
binning
Which BeautifulSoup method can find all the instances of a tag on a page: find_all sip_soup extract locate_tag
find_all
In Altair, what attribute is used to specify the geometric shape of data points shape axis style mark
mark
In an XML document, the top-level element is called the: leaf stem trunk root
root
When a request is sent, the result of whether it was successful or not will be inside the property: status_code response results request
status_code
HTML consists of elements called: tags parts divs spans
tags
Which attribute is used to extract the content of the response as a string: content payload text string
text
Histograms are useful to show: the association between different dimensions of the data the size of the data the distribution of the data the number of attributes in the data
the distribution of the data
line = alt.Chart(cars).mark_line().encode(alt.X('Year'),alt.Y('average(Miles_per_Gallon)')) point = alt.Chart(cars).mark_circle().encode(alt.X('Year'),alt.Y('average(Miles_per_Gallon)')) line + point error, operation not supported will show the two plots sequentially will show the two plots side by side will show the two plots on top of each other
will show the two plots on top of each other
line = alt.Chart(cars).mark_line().encode(alt.X('Year'),alt.Y('average(Miles_per_Gallon)')) point = alt.Chart(cars).mark_circle().encode(alt.X('Year'),alt.Y('average(Miles_per_Gallon)')) line | point will show the two plots side by side error, operation is not supported will show the two plots sequentially will show the two plots on top of each other
will show the two plots side by side
