Line charts are very clear for checking growth in a specific trend for individual data group. Employers may use such charts to analyze long-term trends of business statistics. Scatter charts are good for analyzing the difference of 2 to 3 factors over a period, and this type has some different elements: markers, points, and straight lines. All these elements represent specific data units. These two types of charts record data information on both X and Y axes.
However, it is not easy to select between line and scatter charts since they are very similar especially when scatter charts are showing connecting lines. Here are some significant differences in the way these two types of charts presenting data.
The horizontal axis, which is also known as the x axis, displays both numeric or non-numerical factors like hours or days in a scatter chart. In contrast, the X axis of a line chart can only show texts, which usually refer to non-mathematical data, at equally spaced intervals. In line charts date axes are in chronological order based on standard units even if the dates are not in order in your worksheet. Excel uses the row heading series identifier for the chart title and displays the data as proportional slices of a pie 1st image below.
One can customize the design of the pie chart so either numeric values or their percentages display on top of the slices of pie. The legend can be moved to the top, bottom, left, right, or top right "corner" in older versions of the chart. Legend names can be changed by changing the column headings in the sheet or editing the chart directly in new Excel versions.
Other sub-types include the Pie of Pie and Bar of Pie - where a second pie or bar is created from certain values in the first pie. To customize, right-click on the segment in the first pie and select "Format Data Point. The Column Chart effectively compares a single set of data points, but it shines when comparing multiple series. Outlined in red, the image below shows the three data series we're charting. Notice that we do not include the totals in our data series. Because Excel uses a different color for each data series, it's easy to see how a single series changes over time, or compare multiple series over a given time period.
The Clustered Column Chart is especially popular. With the Stacked Column Chart, data points for each time period are "stacked" atop each other. This chart type shows each data point's percentage of the total.
In a Column Chart, the vertical axis always displays numeric values, and the horizontal axis displays time, names, or other category.
By default, Excel plots whichever has the most entries, row or column data, on the horizontal axis. For example, if plotting five rows and two columns, row headings would reside along the horizontal axis. This can be flipped around by customizing the Excel chart. The first chart below is a 3-D Column Chart of our data series. Here are some significant differences in the way these two types of charts presenting data.
The horizontal axis, which is also known as the x-axis, displays both numeric or non-numerical factors like hours or days in a scatter chart. In contrast, the X-axis of a line chart can only show texts, which usually refer to non-mathematical data, at equally spaced intervals. In line charts date axes are in chronological order based on standard units even if the dates are not in order in your worksheet.
Before deciding which type to use, you should first think about these aspects: the total number of data points and variables you need to compare.
Line charts are mainly for showing continuous data over a period, setting against a general scale and connecting individual data points together. Therefore such type is ideal for showing growth rate or trends at even intervals. For line charts, categorized data are distributed equally along the vertical axis. Scatter charts are usually used for showing connections among different values in multiple data series, and comparing numeric values, such as scientific or statistical data.
Use text labels on your X axis, which represent equally spaced values like a day, week or month. Insert a few groups of mathematical labels on your X axis to show a specific time interval. With a scatter plot a mark, usually a dot or small circle, represents a single data point.
With one mark point for every data point a visual distribution of the data can be seen. Depending on how tightly the points cluster together, you may be able to discern a clear trend in the data.
Because the data points represent real data collected in a laboratory setting rather than theoretically calculated values, they will represent all of the error inherent in such a collection process. A regression line can be used to statistically describe the trend of the points in the scatter plot to help tie the data back to a theoretical ideal.
This regression line expresses a mathematical relationship between the independent and dependent variable. Depending on the software used to generate the regression line, you may also be given a constant that expresses the 'goodness of fit' of the curve. That is to say, to what degree of certainty can we say this line truly describes the trend in the data. The correlational constant is usually expressed as R 2 R-squared. Whether this regression line should be linear or curved depends on what your hypothesis predicts the relationship is.
When a curved line is used, it is typically expressed as either a second order cubic or third order quadratic curve.
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