Data Visualization Quiz 1- Questions with
Complete Solutions| Latest Update
At higher level EDA can be divided into two parts Quantitative
Graphical
Quantitative Statistical procedure
Graphical Statistical tools or results but presented graphics
Another way to classify EDA is Univariate or Multivariate
Univariate Simplest form of analysis. Either data has one variable or only single variable
within a
larger variability is analyzed
-Box plot
-Histogram
Multivariate Analysis done on more than one variable
-Scatter plot
-Bar chart
Histogram vs. Bar Chart
, Diverging bars Great for showing the spread of negative and positive values, such as
Strongly Disagree to Strongly Agree
Z-score Measure of how many standard deviations you are away from the norm (average
or mean)
Data visualization Describes any effort to help people
understand the significance of data by
placing it in a visual context.
-Patterns, trends and correlations that might go undetected in text-based data can be exposed and
recognized easier with data
visualization software.
Data visualization refers to The techniques used to communicate data or information by
encoding it as visual objects (e.g., points, lines or bars) contained in graphics. The goal is to
communicate information clearly and
efficiently to users. It is one of the steps
in data analysis or data science
Two types of visualization -Explanatory
◦ Users with set goals in mind
◦ Wants to confirm something
Complete Solutions| Latest Update
At higher level EDA can be divided into two parts Quantitative
Graphical
Quantitative Statistical procedure
Graphical Statistical tools or results but presented graphics
Another way to classify EDA is Univariate or Multivariate
Univariate Simplest form of analysis. Either data has one variable or only single variable
within a
larger variability is analyzed
-Box plot
-Histogram
Multivariate Analysis done on more than one variable
-Scatter plot
-Bar chart
Histogram vs. Bar Chart
, Diverging bars Great for showing the spread of negative and positive values, such as
Strongly Disagree to Strongly Agree
Z-score Measure of how many standard deviations you are away from the norm (average
or mean)
Data visualization Describes any effort to help people
understand the significance of data by
placing it in a visual context.
-Patterns, trends and correlations that might go undetected in text-based data can be exposed and
recognized easier with data
visualization software.
Data visualization refers to The techniques used to communicate data or information by
encoding it as visual objects (e.g., points, lines or bars) contained in graphics. The goal is to
communicate information clearly and
efficiently to users. It is one of the steps
in data analysis or data science
Two types of visualization -Explanatory
◦ Users with set goals in mind
◦ Wants to confirm something
