Data Visualization Techniques and Challenges

Scatter plots, histograms, and pie charts

Dot plots, stem plots, and histograms

Pie charts, line graphs, and scatter plots

Bar graphs, pie charts, and line graphs

It places dots above values each time they occur

It uses lines to connect data points

It uses different colors for each data point

It arranges data in a circular format

Deciding the shape of the dots

Calculating the average of the data

Ensuring dots are evenly spaced

Choosing the right color for each dot

It highlights the highest data point

It uses colors to represent data

It provides a clear visual comparison of data frequencies

It is easy to create manually

It can be difficult to space dots evenly

It requires a lot of colors

It takes a long time to create

It is hard to interpret

Both display data in a circular format

Both require a key to interpret

Both use colors to represent data

Both show data distribution using bars

It highlights the highest data point

It uses colors to represent data

It shows data distribution using stems and leaves

It displays data in a circular format

The first digit of a number

The last digit of a number

The average of the data

The total count of data points

To indicate the color scheme

To explain how to interpret the stems and leaves

To highlight the highest data point

To show the average of the data

To highlight the highest data point

To break up large data sets into smaller parts

To compare two different data sets

To display data in a circular format