Chart styles

When creating an analysis chart, you need to select the type or style of the chart. Snap XMP provides a large number of pre-defined chart styles. These styles define the layout and colors used to display the chart. Some styles define only the color scheme which is useful when you need a specific set of colors, such as for your organisation’s branding. The pre-defined styles can be edited using the Chart Designer.

Style naming convention

The chart styles that are supplied with Snap XMP Desktop follow a naming convention that can be used to help set up the analysis definition.

Chart styles that contain a layout and colors start with the chart name, such as, Bar, Horizontal Bar, Line and Pie.

If the chart style name contains the word:

• Counts then select Counts in the Show Options section
• Percent then select one of the percent options in the Show Options section
• Transposed then select Transpose otherwise clear Transpose

For example, for the chart style Horizontal Bar Percent Transposed, select the one of the percent options, such as Analysis Percents, and select Transpose.

Chart styles that contain only a color scheme start with the word Color and are followed by a description of the color scheme. For example, Color – 5 point Green to Red Stacked.

Create a simple bar chart

When an analysis, including a chart, is created, two windows are shown to help define the analysis:

• Analysis Definition window used to define what response data is shown, the chart style and default text used in the chart.
• Analysis Display window used to define how the chart is displayed.

Usually, the first step is to decide which type of chart you are going to use, although the chart style can be changed at any time. In this example, the chart style selected is Bar Counts. This is a bar chart where the bars show the number of respondents that selected each response.

Instructions

1. In Snap XMP Desktop, open the survey.
2. Click Analysis Chart    on the Snap XMP Desktop toolbar. This opens the Analysis Definition window where you can create a new chart. This also opens the Analysis Display window which is blank for a new chart before the chart style is selected.
3. In the Analysis Definition window, click the Select button. This opens the Select Analysis Style dialog. A thumbnail image is shown for each predefined chart style, helping you choose the style you want. Click on the image to select the chart style. The style selected in the example is Bar Counts. Click OK to select the style.

4. The next step is to define the response data that is shown in the chart. A simple example of a bar chart is to show the responses to a single question. In Analysis, enter Q4, which is a question asking about the items ordered in a café.
5. Click Apply to show the chart display in the Analysis Display window.

6. The bar chart shows all the responses to the question Q4 with each bar showing the number of respondents who ordered each item. The legend shows which color corresponds to each question response. The chart title defaults to the Q4 label and the bars are arranged in the order each choice is asked in the question.

Some default settings for an analysis are set up in Analysis Tailoring and these defaults may vary in your organisation. This is opened by clicking Tailor | Analysis.

Resizing the chart and chart elements

Resize the chart by hovering over the move the cursor to any edge or corner of the window until a double-headed arrow appears. When this arrow appears, click and drag to make the window larger or smaller. The chart resizes to fill the chart plot space available. You can see how your chart will look in different display sizes.

Some chart elements can be resized by clicking on the chart element to select it. Hover the cursor over the black selection markers until a double-headed arrow appears. When this arrow appears, click and drag to make the element larger or smaller.

Drag and Drop

Some items in the chart can be moved using drag and drop. This includes the title, legend, chart plot, footnote and datapoint labels.

1. Click the item in the chart display. The area is shown with small black squares around the selected area.
2. Click in the selected area and drag to the new position. The chart display changes around the repositioned item.

Opening the chart designer

The Chart designer helps you customise the style of your chart. Open the Chart Designer by clicking the Edit Style button   in the toolbar of the Analysis Display window.

The Chart Designer shows the chart elements on the left-hand panel in the Chart Designer. Selecting a chart element displays tabs that allow you to change different aspects of that element. Some of the chart elements have sub-elements that can be accessed by clicking on the   symbol.

You may want to change an item but not know what it is called. In this case, double-click on the item in the chart. The Chart Designer opens with the item selected.

Saving or cancelling changes

1. As you make changes to the chart elements in the Chart Designer, click on Apply to see the effect they make. Once you have clicked Apply the Cancel button will not reset the changes.
2. To abandon your changes, as long as you have not clicked on Apply, click on Cancel.
3. To confirm your changes, click on OK. These updates are made to the Analysis Display window but are not permanently saved as part of the analysis chart.
4. To save the changes permanently go to the Analysis Display Window. If you wish to cancel all the changes made, click the Cancel icon on the toolbar. To save the changes, click the Save icon on the toolbar.

Transpose to show labels on axis not legend

In the Bar chart shown you can change the legend so that the labels are shown on the axis underneath.

• In the Analysis Definition window, select Transpose. This removes the legend, and the labels show underneath each bar.

Excluding No replies

Not all respondents complete every question when they submit a response to the survey. Often, in the analysis, the responses containing, no reply, are not relevant and you do not want to see them in the chart.

Note: The default setting to show or hide No reply responses is set in the analysis tailoring. The analysis tailoring dialog opens from the Tailor | Analysis menu. Your organisation may already exclude no reply responses.

To exclude the no replies:

1. In the Analysis Definition window, click the Base/Labels tab.
2. In the No reply drop down, select Exclude.

3. Click Apply. Check that there are no replies responses shown.
4. In the Analysis Display window, click Save to save the changes to the chart.

Ordering

You can order the bars in several ways

• Default. This is the order that the choices appear in a question.
• Analysis Label. This is the alphabetical order of the choice labels in a question.
• Analysis Base orders by the number or percent of responses in descending order.
• Column counts
• (Score) orders by any statistics on the table e.g. mean

1. If the Analysis Definition window is not open, click on the Properties icon on the Analysis Display window.
2. In the Analysis Definition window, select Analysis Base in the Order by list.

3. Selecting Reverse order reverses the order of the items.

In addition, customised ordering is available in the Chart Designer.

1. Double-click on a bar to open the Chart Designer.
2. Click on Series above the selected bar.
3. Click on the Order tab.
4. Click the Up and Down buttons to order the bars, as required.
5. Click Apply to update the chart display.

Changing the chart title

You can customise the chart title by

• changing the font, font size, font style and font color
• changing the text
• changing the text alignment
• changing the title orientation
• changing the location
• changing the background color and pattern
• changing the title frame style and shadow effect
• adding a background image or replacing the title text with a logo or image

Double-clicking on the legend opens the Chart Designer.

1. Click the Text tab and enter a new title for the chart. Click Apply to update the chart.

2. Click the Font tab and increase the font size and make the text bold. Click Apply to update the chart.

The chart title is now more noticeable with a clearer description.

Changing the chart legend

You can customise the legend by

• changing the location
• changing the background color and pattern
• adding a background image or replacing the title text with a logo or image
• changing the font, font size, font style and font color

Double-clicking on the legend opens the Chart Designer.

• To make the legend text easier to read, click the Font tab and increase the font size. Click Apply to update the chart.

Changing bar colours

The chart style chosen determines whether the bars in a series are different colors or all the same color.

1. When you click on the bar that needs changing, this selects all the bars in the series with the same color. This shows you which bars will be updated.
2. Double-click on the bar to open the Chart Designer at the series (bar color) settings.
3. Click the plus + to expand the bar settings and select Datapoint defaults.
4. In the Fill tab, select the Pattern, Fill color or Pattern color required.

5. Click Apply to update the chart display.

The post Creating a simple chart appeared first on SnapSurveys.

• the count (number of respondents who chose that response)
• the percentage (number of respondents as a percentage of the total)

If you want to display both the counts and the percentage value, you need to pass in the counts and use the Chart Designer to calculate the percentages from the counts.

To ensure that the chart designer uses the number of respondents as its value for 100%, you must pass in a variable or variable code containing that value. This is done by creating a derived variable which has a code that is true for all respondents. This code then has a count value of the number of respondents.

You can then exclude this code from the final bar chart. You can only exclude codes from terms in the Analysis field that have not been transposed.

1. Click on the Snap toolbar to open the Variables window.
2. Select the variable you wish to chart. Here we are using Q2.
3. Click on the Variables window toolbar to create a copy of the variable.
4. Set the Type to Derived. (The values in this variable are derived from the answers to Q2.)
5. Set the Name to V2Q2 to remind you that it is derived from Q2.
6. Set the Response to Multiple, so that you can have more than one code selected.
7. Select to the Values column for the first code Daily and enter Q2=1
8. Repeat for the other codes in Q2.

9. Create an additional code and name it Hidden total. Set the value to TRUE.
10. Click on the Variables window toolbar to check the number of responses for the parts of your new variable.
11. You will get a message warning you that this will cause any changes to be kept. Click OK. The counts are displayed. The count for Hidden total should be the same as the base value in your table.
12. Click to save your variable.

Create the chart

1. Click on the Snap toolbar to create a chart.
2. Set the style to Horizontal Bar Counts and set the analysis to V2Q2.
3. Check Counts.
4. Click Apply to display your chart.
5. Double click on the Hidden total bar to open the Chart Designer and check the Exclude series box to stop the display of that bar.
6. In this type of chart, each of the bar heights is a datapoint in a series. In the left hand pane, double-click Series to open it, then Daily then select Datapoint Labels defaults.
7. Select the Above Point radio button as the Text Location in the Appearance tab. This specifies where the counts and percentage figures will be placed.
8. Check Value and Percent under the Datapoint Label. This will display the counts and percentage figures at the end of the bar.

9. Repeat for the other series that you wish to display (Twice a week, Weekly and Monthly).
10. Click Apply to display the new version of the chart.
11. The percentage values are not correct as they have not been calculated using the Hidden total value. Select Y Axis in the left hand pane of the Chart Designer dialog.
12. Select the Scale Type tab and select the Percent radio button.
13. Select Category Maximum as the Percent base. This uses the highest count as the number to calculate the percentages from. In this chart, it is the value in Hidden total, the same as the respondent base.

14. Click Apply.

Further changes can be made using the Chart Designer to give your chart the desired look.

Change the way the labels on the y-axis are displayed

1. Select Axis Labels under Y Axis in the left hand pane of the Chart Designer dialog.
2. Select the Format tab in the right hand pane.
3. Select 0% as the Format Code.

4. If you wish to make the y axis maximum 100%, select Y Axis in the left hand pane.
5. Clear the Automatic box.
6. Change the Maximum to 1.

7. Click OK.

The post Displaying counts and percentage figures on a bar chart appeared first on SnapSurveys.

This example uses the data provided in the Crocodile Rock Cafe survey supplied with Snap XMP Desktop to display the average satisfaction for men and women at the Crocodile Rock Cafe against the average satisfaction of all respondents. To make it obvious which the reference values are, they will be displayed as bars, whereas the individual means for men and women will be displayed as points.

These instructions assume that you have created a derived variable that includes all respondents.

1. Click to open the Analysis Definition dialog.
2. Change the Chart style to Bar counts.
3. Set the Analysis field to Q6a~Q6e. This includes all the satisfaction questions (you can check what they are in the open Variables window).
4. Set the Break field to V1: Q10. (V1 is your newly created derived variable, Q10 is the gender question.)
5. Set the Calculate field to Means & Differences.
6. Check the Transpose box under Options.

7. Click OK. The chart window opens, displaying the defined bar chart.

8. Open the chart designer by clicking on the chart toolbar. The chart designer dialog appears.
9. Highlight Chart in the left-hand pane if it not already selected. This is the section of the chart designer that defines the overall look of the chart.
10. Ensure that the 2D radio button is selected and click Combination in the list of chart types.
11. Click Apply to use these settings without closing the chart designer window.
12. Select Series in the left-hand pane. This is the section of the chart designer dialog that deals with the display of the break and analysis data. This is where you specify that in the combination chart, you wish to display the All Respondents information as bars, and the data split by gender as lines.
    • Click All Respondents in the Series box and check that Bar is selected in the Display As box.
    • Select Male in the Series box and select Line in the Display As box, and repeat for Female.
    • Click Apply to use these settings without closing the chart designer window.
    • The visible chart should change to show a combination bar and line chart.

13. The bars are in front of the lines, making it difficult to see them. Select Series in the left-hand pan again, and click the Order tab.
14. Select All in the list and click the Down button twice to move it to behind the Male and Female displays.
15. Click Apply. The chart updates to place the lines in front of the bars.

Set the data point markers

Now you have created a combination chart, you want to mark the points that represent the data values for men and women, instead of just having them as points where the lines angle.

1. Click the by Series in the left-hand pane to show the list of the variable codes in the Break.
2. Click the by Male or Female to show the list of controls for displaying the information for the selected data. Select Datapoint Defaults. This is where you specify how the datapoints will be displayed.

3. Click the Markers tab to define the markers. (You can specify the line colour in the Fill tab.)
   • Check the Show markers box.
   • Set the Style as required. Here we have chosen Filled Square for Female and Filled Triangle for Male
   • Leave the Color, Size and Pen Width as they are.
   • Click Apply to update the chart.

The post Creating a combination chart to display respondent means as points and bars appeared first on SnapSurveys.

If the importance bar is longer than the satisfaction one there may be a problem.

This example uses the Course Evaluation survey supplied with Snap.

The questionnaire uses a 5-point scale for both importance and satisfaction ratings. (1= totally dissatisfied to 5= totally satisfied) and (1= not at all important to 5 = extremely important).

The gap analysis chart tells you how important various aspects of the service are to customers, compared with how satisfied customers actually are with particular attributes e.g. instructor and user guides. The gap is the mean score for the satisfaction rating subtracted from the mean score for the importance rating, e.g. Q7c-Q6c.

If the mean score of a service is positive (above zero),

• Respondents rate the service as very important but they are not satisfied with the service they are receiving. In this instance, action is required.

If the score is negative (below zero),

• Respondents rate this attribute relatively unimportant, but are very satisfied with the service. In this instance no action/improvement is required.

The closer the gap is to zero the better balance there is between how important something is, and how satisfied customers are with it.

Creating a gap analysis chart

To set up the gap analysis chart you need to:

• create derived variables for the services you wish to examine
• define the chart
• apply a chart style

Creating the derived variables

A derived variable allows you to subtract the satisfaction scores from the importance scores for each service. For example, Course content satisfaction scores will be subtracted from Course content importance scores. Each service will have to be set up as a derived variable.

1. Open the Course Evaluation survey supplied with Snap.
2. Click to display the Variables window.
3. Click to add a new variable.
4. Specify the variable details. Set the Type to Derived and the Response to Quantity. This shows that it has a value derived from other variables.
5. Add a Label to describe the new variable, e.g., “Course content”. This label will appear on the chart.
6. Set the Value to Q6.a (Course content importance) – Q5.a (Course content satisfaction).

7. Click to save the variable.
8. Repeat the steps above for the other three rating questions you wish to analyse

(V1.2 will be Q6b-Q5b, V1.3 will be Q6c-Q5c and V1.4 will be Q6d-Q5d)

Creating the gap analysis chart

1. Click to display the Analysis Definition dialog for a chart.
2. Select the chart style Gap Analysis from the drop down list.
3. Type the names of the derived variables into the Analysis field, for example V1.1,V1.2,V1.3,V1.4,
4. Type stats in the Break field or select Statistics table from the drop-down list.
5. Check the Transpose box.

6. Click the Descriptive Statistics tab to define which statistics will be used.
7. Select all the terms in the right-hand column.
8. Deselect Mean.
9. Click < so that Mean is the only term in the Used section.

10. Click Apply to see your chart.

To change the title shown on your chart, click the Notes/Title tab of the Analysis Definition dialog and enter a new title in the Title box. Click Apply to see the changes.

The post Using gap analysis to interpret importance with satisfaction appeared first on SnapSurveys.

1. Click to display the Analysis Definition dialog for a chart.
2. Add the variables of type quantity to the Analysis field, separated by commas.
3. Set the Break to STATS or select Statistics table in the dropdown list.
4. Check the Transpose box.
5. Select the style Hilo in the dropdown list of Styles. Browse for the style if it is not visible.

6. Click the Descriptive Statistics tab.
7. Show only the minimum and maximum in the Used pane. (Select all other statistics in the Used pane and move them to the Available pane.)
8. Click OK to build the chart.

The result is a Hi-Lo Chart showing the highest value recorded and the lowest value recorded for each of the variables.

The post Creating a Hi-Lo chart showing maximum and minimum values appeared first on SnapSurveys.

1. The Chart Wizard is available in the Analysis Display window.
2. Right-click the mouse or press F2 to display the context menu.
3. Select the Chart Wizard menu to open the Chart Wizard.
4. Use the buttons at the bottom of the dialog boxes to navigate through the Chart Wizard.
5. The Gallery page allows you to select the type of chart you wish to design. Two buttons at the top of the box allow you to select either 2D or 3D chart types.

6. Click Next to go to the Style page. This lets you set chart display options such as series labels, stacking and bar gap. The options shown will be different depending on the type of chart you are designing.

7. Click Next to go to the Layout page, which provides options for selecting items such as chart titles, chart footnotes and chart legends. The preview image shows you how the chart will look with your settings.

8. Click Next to go to the Axes page, which allows you to set axis titles.

9. Click Finish to create your chart.

The post Using the Chart Wizard appeared first on SnapSurveys.

The chart elements are listed on the left hand panel in the Chart Designer. Selecting a chart element displays tabs that allow you to change different aspects of that element. Some of the chart elements have sub-elements that can be accessed by clicking on the symbol.

1. Click the Edit Style button in the toolbar of the Analysis Display window or double click on the item you wish to change. The Chart Designer opens on the Chart or the double clicked item.
2. As you make changes to the chart elements click on Apply to see the effect they make. Once you have clicked Apply the Cancel button will not reset the changes. You can cancel the changes once you return to the Analysis Display window using the icon.
3. To abandon your changes, as long as you have not clicked on Apply, click on Cancel.
4. To confirm your changes, click on OK.

Adding a background to your chart

1. Click the Edit Style button or double-click the background of the chart to open the Chart Designer.
2. Select Chart in the left hand column if it is not already selected.
3. Select the Picture tab.
4. Click the Browse button to choose your picture. An open file dialog appears.
5. Select the image you want as the chart background and click Open.

6. Set the Picture Size radio button to one of the options. The default is set to Best fit.
7. Click Apply. The Chart Designer dialog will remain open, but the new background will appear on your chart.

Setting the color of a pie-slice or bar

1. If the chart designer dialog is not already open, double-click the pie slice or bar that you wish to change on your chart. If it is already open, select the item you want in Series | Your slice or bar label | Datapoint default | Datapoint 1 in the left hand pane.
2. Select the Fill tab.

3. Here you can change the Pattern, Fill Color and Pattern Color. The Edge style can also be changed. Click Apply to see your changes on the chart.
4. Select the Datapoint for the next bar/slice in the Series in the left hand pane and repeat the process.
5. Click Apply if you wish to make further changes, else click OK to close the dialog.

Tips for chart design

• When making changes to font style and size, aim to make consistent changes across all aspects of the chart for more professional and easier to read documents.
• To insert a line break in your text use Crtl + Enter.
• You can only show both absolute values and percentages in the pie and doughnut chart styles. On a pie or doughnut chart the percentage shown will always be the Break Percentage.
• If you wish to show percentages on chart styles other than pie or doughnut, you must choose a percentage option in the Analysis Definition dialog. The value displayed will be the percentage selected without a percentage sign.
• There are some chart styles which already have data point labels built in.
• An alternative method of accessing the Series option for a particular code is to use the mouse. Click once to highlight a bar or segment of the chart, and then double click to bring up the dialog box. Do not move the mouse as you undertake this operation or it will not work.

The post Using the Chart Designer appeared first on SnapSurveys.

• data
• information on how the data is analysed
• information on how the analysis is displayed

The chart is defined in the Analysis Definition dialog where the chart style is selected. The chart style template defines how the analysis data is displayed. There are a number of chart and table styles that are supplied with Snap XMP Desktop. You can adapt these to your requirements using the Chart Designer or create new ones using the Chart Wizard.

The chart style is made up of three components:

• Layout defines how the chart is displayed; type of chart, axes and visibility
• Background defines the color or images used for the chart background
• Series defines the colors used for the different chart elements, such as bars, lines and segments.

Once you have created a chart style, you can save it, and reapply it to other analyses. You can save the style components separately or together.

Note: The number of series colors in your chart style will depend on the chart you have created it from. If you save a style from a chart with four bars (and four separate colors used to identify them) then apply it to a chart with seven pie slices, the colors will repeat.

Selecting a chart style

An easy way to select a style of chart analysis is to use the Select Analysis Style dialog. This displays examples of each chart style as a thumbnail image, helping you choose the style you want. The selected chart is highlighted when the dialog is opened.

1. On the Snap XMP Desktop toolbar, click Analysis Chart to open the chart analysis definition.
2. In the Analysis Definition dialog, click Select. This opens the Select Analysis Style dialog.

3. In the Select Analysis Style list, a thumbnail image is shown for each chart style, helping you choose the style you want. Click on the image of the chart style to use in the analysis.

4. If you can’t find a chart style click Browse to search other folders for the style files.
5. Select or clear the Layout, Background and Series check boxes to include the parts of the chart style you want to use.
6. Click OK to select the chart style.

The chart style can be adapted to your requirements using the Chart Designer. Alternatively, you can create new chart styles using the Chart Wizard.

Further information on using color chart styles can be found in the tutorials:

• Use Chart styles to add branding to your charts
• Change category colours in charts

Using chart style naming

The chart styles that are supplied with Snap XMP Desktop follow a naming convention that can be used to help set up the analysis definition.

If a chart style contains a layout the name starts with the chart type, e.g. Horizontal Bar. Color only chart styles start “Color – ” following by a description.

If the chart style name contains the word:

• Counts then select Counts in the Show Options section
• Percents then select one of the percent options in the Show Options section
• Transposed then select Transpose otherwise clear Transpose

For example, for the chart style Horizontal Bar Percent Transposed, select the one of the percent options, such as Analysis Percents, and select Transpose.

Saving a chart style

1. Make the changes you want to your chart.
2. Press F2 or right-click your modified chart and select Save Style from the context menu.
3. The Save Style dialog appears.
4. Enter a name for your new style.
5. In Style parts, Select or clear the Layout, Background and Series check boxes to include the parts of the chart style you want to use. For example, clear Layout and select Background and Series to save the chart colors and background only and exclude the chart type.

6. Click OK to save your style.

By default the chart style is saved in the Snap XMP Desktop Styles folder. If you wish to save to a different location, browse to the required folder then save your file.

Note: If you leave the layout box checked your saved style will have all the chart information, not just the background and colors, and you will overwrite the chart types if you load it to a different chart.

The post Chart styles appeared first on SnapSurveys.

• The Title is an area to display the name used to identify the chart. The title is composed of the variable labels for the variables on the chart. This can be replaced with user defined text.
• The Plot is the area of the chart that displays the data.
• A Data point refers to a value or a single piece of data on the chart.
• Series are sets of related data. In Snap these are the codes for the analysis variables.
• Categories are used to group a series. In Snap these are the codes for the break variables.

• Grid Lines can be incorporated into the charts to provide a measurable scale through the chart.
• Legends provide a key to the data in the chart. These are by default placed on the right of the chart.
• The Y axis is the vertical axis on most charts. In horizontal charts the x and y axis are interchanged. The y axis usually represents the values such as counts or percentages.
• The X axis is the horizontal axis on most charts. The x axis usually displays the Categories.
• The Z axis is used in 3 dimensional charts. The z axis usually displays the Series which are described in the Legend.
• Axis labels are words or numbers that mark the different sections of the axis.
• Axis title is the name given to describe the entire axis.
• Tick marks are short lines that mark an axis into lengths of equal size.

• Data point labels can be attached to each individual Data point and there are options for adding the code name, the code value and the percentage.
• Backdrop is the background area of the chart that can show an image or background color.
• The Footnote is another area of text that can provide information about the chart.

The post Chart elements appeared first on SnapSurveys.

Area charts

Area Charts are most often used to emphasise the relative importance of values over a period of time. An area chart focuses on the magnitude of change rather than the rate of change. Each filled area on the chart represents a series and is identified by a different color or pattern.

Bar charts

Bar charts are used to compare one item with another, or to compare multiple items over time. Each bar represents a cell value. This is the chart equivalent of a frequency table.

Clustered Bar Charts are similar to the more conventional vertical bar charts. They are the equivalent of a cross-tabulation.

Horizontal Bar Charts are similar to standard vertical bar charts, except that the categories are organised on a vertical axis and the values are plotted on a horizontal (y) axis.

Stacked Bar Charts are used to show how the main category is divided into smaller categories. This can be shown as number or percentage of the total amount.

Pie charts

Pie charts show the relationship of parts to the whole. If multiple pies are displayed, then each pie represents a category, and each slice represents a value in that category. The example shows a pie for each age category, with segments for frequency of visit. Pie chart values for each segment are usually displayed as percentages.

Doughnut Charts are provided and their use is similar to pie charts.

Line charts

Line charts are best used to show changes over time. They emphasise time flow and rate of change rather than the amount of change.

Step charts

Step charts are used to compare items that do not show trends. They display distinct points along the value (y) axis, with vertical lines showing the difference between each point. The horizontal (x) axis shows categories.

The post Types of chart appeared first on SnapSurveys.