Which step of the data visualization process helps to identify information needed to answer a question or support a claim?(1 point)

Responses

data collection
data collection

representation
representation

analysis
analysis

verification

5 answers

The step of the data visualization process that helps to identify information needed to answer a question or support a claim is data collection.

We wish to find a social media website devoted to broadcasting news on public elections. We are interested in any data it presents. Which of the following is an important attribute their data should have?(1 point)
Responses

undated
undated

popular
popular

unbiased
unbiased

complicated

The important attribute that the data should have is unbiased. This ensures that the information presented is fair and objective, which is crucial for topics such as public elections.

The visualization process begins with data collection that is relevant to a given question or claim. If an important social media news report in December of 2022 uses the following chart of electricity costs in kwh over the last five years to support statements that inflation has not changed costs very much, how should a listener or reader respond to the news report?

A bar graph has a horizontal axis representing costs in kilowatt hours. The axis ranges from 0.115 to 0.145 with ticks in increments of 0.005. The vertical axis represents years and ranges from 2012 to 2021 in increments of 1. From 2012 to 2021, each year has a horizontal bar with lengths 0.127, 0.131, 0.135, 0.133, 0.133, 0.136, 0.135, 0.133, 0.136, and 0.142 respectively.

(1 point)
Responses

accept the news claims
accept the news claims

seek additional data
seek additional data

ignore the unsupported data
ignore the unsupported data

reject the news claims
reject the news claims

A listener or reader should seek additional data. While the chart provides information about electricity costs over the last five years, it's important to consider additional context, such as other economic factors, comparisons to inflation rates, and data beyond just electricity costs to fully understand the claim being made about inflation and costs.