Data Visualization Techniques and Limitations

The video tutorial explains three types of plots: Dot Plot, Histogram, and Box Plot. Dot Plots are ideal for small data sets and can show clusters, gaps, and outliers. Histograms are suitable for large data sets, grouping data into bins to show frequency distributions. Box Plots summarize large data sets by displaying five key values: minimum, maximum, median, first quartile, and third quartile, highlighting the range and distribution of data.

What are the three types of plots introduced in the video?

• Pie Chart, Line Graph, Scatter Plot

• Dot Plot, Histogram, Box Plot

• Bar Chart, Histogram, Line Graph

• Scatter Plot, Pie Chart, Box Plot

What is a key advantage of using a Dot Plot?

• It is ideal for large data sets

• It is best for showing trends over time

• It can display categorical data

• It shows specific values within a range

Why might a Dot Plot not be suitable for large data sets?

• It cannot display outliers

• It does not show clusters

• It cannot display numerical data

• It becomes too cluttered with dots

What is a unique feature of a Histogram compared to a Dot Plot?

• It highlights outliers

• It is used for categorical data

• It uses bins to group data

• It shows specific data points

How can you adjust a Histogram to better represent data?

• By adding more data points

• By changing the color of the bars

• By using a different scale

• By adjusting the bin intervals

What is a limitation of Histograms?

• They cannot display numerical data

• They do not show specific values

• They are not suitable for large data sets

• They cannot be adjusted

What are the five key values shown in a Box Plot?

• Minimum, Maximum, Average, Range, Outliers

• Minimum, Maximum, Median, Mode, Range

• Minimum, Maximum, Median, First Quartile, Third Quartile

• Minimum, Maximum, Mean, Mode, Range

What is a disadvantage of using Box Plots?

• They cannot show skewness

• They do not display specific data values

• They cannot show the range of data

• They are not suitable for large data sets

How do Box Plots help in understanding data distribution?

• By showing the mean and mode

• By using color-coded bars

• By displaying the range and skewness

• By highlighting specific data points

Which type of data is not suitable for Box Plots?

• Data with outliers

• Numerical data

• Categorical data

• Large data sets