There is no single answer to this question. It depends on what you are trying to do. Both types of charts are designed to interpret data. Pie charts are best is you want to show how each data element fits into the entire data set. Bar charts are good for letting you see how each data element compares to other data elements in the data set.
bar graph
They're both equally valid ways of displaying data. However - a pie chart is a better option when you need to show the relationship of each part of the data to 100%
Through bar charts.
series
you would use it when interpreting data
bar graph
To create an X-bar chart and an R chart on the TI-Nspire, first enter your data into a list. Then, navigate to the "Statistics" menu, select "Data" and choose "Statistical Tests." For the X-bar chart, select "Control Charts" and then "X-bar Chart," ensuring you specify the appropriate subgroup size. For the R chart, repeat the process but select "R Chart" instead, using the same subgroup size. Make sure to interpret the charts according to the control limits and process variation.
They're both equally valid ways of displaying data. However - a pie chart is a better option when you need to show the relationship of each part of the data to 100%
In a scientific context, a chart typically refers to a visual representation of data that has been organized in a graphical format, such as a line graph, bar graph, or pie chart. Charts are used to illustrate relationships, trends, or patterns within the data being presented, making complex information easier to understand and interpret.
The type of chart that displays data horizontally is......bar chart
Vertical bar chart: height Horizontal bar chart: length
In a bar chart:)
Through bar charts.
use a bar chart when comparing data. for example, you would use a bar chart to compare climates of different cities.
A bar chart or a pie chart.
series
Data labels appear on charts. If your right click on an item in a chart, such as a bar or a pie or a line, you can choose Format Data Series and then you can choose Data Labels. You have a choice of various types of data labels to put in, such as the actual value or the percentage.