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No, a line graph shows data over time.

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13y ago

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Which is a disadvantage of pie charts?

Pie charts only show you the percentage, But it dose not show you the major trends in a pie chart


What is The most common chart types are column charts line charts pie charts and charts.?

The most common chart types include column charts, line charts, pie charts, and bar charts. Column charts are useful for comparing quantities across different categories, while line charts effectively show trends over time. Pie charts illustrate proportions of a whole, and bar charts are similar to column charts but display data horizontally. Each chart type serves a distinct purpose, making data visualization clearer and more accessible.


What graph can show trends over time?

a bar graph


What are the different ways to represent on a graph?

Graphs can be represented in various ways, including line graphs, bar charts, pie charts, and scatter plots. Line graphs display data points connected by lines to show trends over time. Bar charts compare different categories using rectangular bars, while pie charts illustrate proportions of a whole. Scatter plots show the relationship between two variables by plotting individual data points on a Cartesian plane.


What are some types of charts?

Some common types of charts include bar charts, which compare quantities across different categories; line charts, which show trends over time; pie charts, which represent parts of a whole; and scatter plots, which illustrate the relationship between two variables. Each type serves a specific purpose and helps visualize data in different ways, making it easier to interpret and analyze information. Other types include area charts, histograms, and bubble charts, each offering unique insights based on the data presented.


What does data series mean?

A data series refers to a set of related values or observations that are organized in a specific order. It can be used to represent trends, patterns, or relationships over time or across variables. Data series are commonly used in graphs, charts, or visualizations to present and analyze data in a structured and organized manner.


What are non-example of line graph?

Non-examples of line graphs include bar charts, pie charts, and scatter plots. These visual representations serve different purposes; for instance, bar charts compare discrete categories, pie charts show proportions of a whole, and scatter plots illustrate relationships between two variables. Unlike line graphs, which depict trends over time, these formats do not effectively convey continuous data or changes across intervals.


Does a pie chart illustrate trends?

Generally, pie charts do not indicate trends. Line, bar and column charts are better for trends. They are designed to show how something is split up, so it does not have that purpose, so the answer would normally be no. However, a pie chart could indicate a trend if there was a pattern in the successive slices, like if each was getting larger and each represented a time period, like a month. A few pie charts shown together could also indicate a trend, by looking at how the same data changes from chart to chart.


Do line charts show the contribution of each piece of data to the whole or total in the data in Excel?

No. Pie charts are the main type of chart that do that. Line charts showing changes over a period of time.


What kind of graph shows trends overtime?

Either one of a scattergraph, a line graph or a bar chart can show trends over time.


Why is data collected over a period of time?

To show changing situations, developments and trends.


In an experiment what can be shown in charts and graphs?

In an experiment, charts and graphs can effectively display data trends, relationships, and comparisons among variables. For instance, bar graphs can illustrate categorical data, while line graphs can show changes over time. Scatter plots can reveal correlations between two continuous variables, and pie charts can represent proportional data. These visual tools enhance comprehension and facilitate the interpretation of experimental results.