Creating visual representations of data transforms complex spreadsheets into clear insights. MS Excel 97 introduced powerful charting capabilities that remain fundamental to data visualization today. The Chart Wizard feature simplified the process of turning numbers into graphs, making it accessible even for beginners in distance education research.

Table of Contents

Understanding the Chart Wizard

The Chart Wizard serves as a step-by-step guide for creating charts in MS Excel 97. When you launch the Chart Wizard, it walks you through four distinct stages, each designed to help you make decisions about your chart’s appearance and functionality.

To start creating a chart, first highlight the data range you want to visualize. Then click the Chart Wizard button located on the Standard Toolbar. This action opens the first step of a four-stage process that transforms your selected data into a professional chart.

Step 1: Selecting your chart type

The first step presents 14 different standard chart types. Each chart type includes multiple subtypes, giving you flexibility in how you present your data. Column charts work well for comparing values across categories, while line charts excel at showing trends over time. Pie charts effectively display proportional relationships, and bar charts provide horizontal comparisons.

Excel 97 provides a helpful preview feature. By clicking “Press and Hold to View Sample,” you can see how your data will appear in the selected chart type before committing to it.

Step 2: Confirming data source

The second step verifies that Excel correctly interprets your data location and organization. The software typically defaults to plotting your data series by row, though this depends on your data’s shape. If your spreadsheet contains equal rows and columns or more columns than rows, Excel plots series in rows by default.

This step includes two tabs: Data Range and Series. The Data Range tab displays your selected cell range, while the Series tab breaks down individual data series, allowing you to adjust which information appears in your chart.

Step 3: Customizing chart options

Step three offers extensive customization through multiple tabs. The Titles tab lets you enter descriptive text for your chart and axes. The Axes tab shows default settings for displaying axis information. The Gridlines tab provides options for adding horizontal and vertical lines that make data values easier to read. The Legend tab controls whether your chart displays a key explaining data series, and the Data Labels tab manages how individual data points are labeled.

Step 4: Choosing chart location

The final step determines where your chart appears. You can embed it within an existing worksheet alongside your data, or create a new dedicated chart sheet. Embedded charts work well when you want data and visualization on the same page, while separate chart sheets suit presentations where the chart needs full-page display.

Essential chart components

Understanding chart elements helps you create more effective visualizations. Excel charts consist of several key components that work together to communicate your data story.

Axes and their functions

Most charts use two axes to measure and categorize information. The vertical axis (also called the value or y-axis) typically displays numeric values, while the horizontal axis (category or x-axis) shows textual groupings. Three-dimensional column charts add a third axis called the depth or z-axis, allowing data to be plotted across the chart’s depth.

Different chart types handle axes differently. Scatter and bubble charts show numeric values on both axes, while column, line, and area charts display numbers only on the vertical axis. Pie and doughnut charts don’t use axes at all.

Data markers and series

Data markers represent individual data points on your chart. These might appear as columns, bars, pie slices, or points depending on your chart type. A data series is a collection of related data markers, usually corresponding to a single row or column in your spreadsheet.

When you hover over data markers, Excel displays screen tips showing the exact value represented. This interactive feature helps viewers quickly understand specific data points without cluttering the chart with labels.

Legends and their importance

Legends serve as keys identifying patterns, colors, or symbols associated with different data series. They show which chart element corresponds to each data category, making multi-series charts interpretable.

In Excel 97, legends appear by default when you create a chart. You can reposition them to different locations around your chart or hide them entirely if displaying only a single data series where the meaning is obvious without explanation.

Chart and axis titles

Titles provide essential context for understanding your visualization. The chart title appears at the top and explains what the entire chart represents. Axis titles label the horizontal and vertical axes, clarifying what each dimension measures.

Excel 97 allows you to link titles to specific worksheet cells. When you update the linked cell’s text, the chart title automatically changes, maintaining consistency between your data and visualization.

Editing and modifying charts

Excel 97 makes chart modification straightforward. To activate a chart for editing, click anywhere inside its borders. The border changes to a wide, hatched frame with small square handles at the corners and midpoints, indicating the chart is selected and ready for changes.

Resizing and repositioning

To resize your chart, click one of the eight rectangular handles on the border and drag. The chart changes size and shape based on your drag direction. Experiment with different handle positions to achieve the desired proportions.

Moving a chart requires clicking within the chart border (not on a handle) and dragging it to a new location on your worksheet. The cursor changes to a four-directional arrow when positioned correctly for moving.

Changing chart types

Excel 97’s Chart Toolbar provides quick access to 28 different chart types. After activating your chart, you can select a new type from the drop-down menu, and Excel instantly transforms your visualization while preserving the underlying data connections.

This flexibility lets you experiment with different presentation styles to find the most effective way to communicate your data insights.

Deleting unwanted charts

Removing a chart is simple: activate it by clicking inside its borders, then press the Delete key. For chart sheets (charts on separate worksheet tabs), delete them the same way you would remove any worksheet – through the Edit menu’s Delete Sheet command.

If you encounter difficulty deleting a chart, click outside it first to deselect, then click the chart again before pressing Delete.

Printing charts effectively

Printing capabilities in Excel 97 give you control over how your charts appear on paper. The process differs slightly depending on whether your chart is embedded in a worksheet or exists as a separate chart sheet.

Printing embedded charts

When you select an embedded chart and choose Print, Excel prints only the chart itself, scaling it to fill the entire printed page. This automatic scaling ensures your visualization appears prominently, though it may look different from its on-screen appearance due to size adjustments.

To print a chart along with surrounding data, select the cell range containing both the data and the chart before accessing the Print command. Excel includes everything within the selected range in the printout.

Chart sheet printing options

Chart sheets offer more sophisticated printing controls through the Page Setup dialog box. Accessing File menu’s Page Setup when a chart sheet is active reveals a Chart-specific tab with several printing options.

Use full page prints the chart to maximum height and width on the page. While this option maximizes space usage, it may distort the chart’s proportions.

Scale to fit page expands your chart to fill available space while maintaining original proportions. This setting prevents distortion and typically produces the best results for presentations.

Custom prints the chart exactly as it appears on screen, using the current window size and proportions. You can adjust the chart size with your mouse before printing to achieve desired dimensions.

The Chart tab in Page Setup includes two quality options. Draft quality reduces formatting detail for faster printing, useful for internal review copies. Print in black and white converts colored charts to grayscale, ideal when color printing isn’t available or necessary.

These settings help you balance print quality against time and resource constraints, particularly important when producing multiple copies for distribution.

Preventing unwanted chart printing

Sometimes you need to print worksheet data without including embedded charts. Right-click the chart, select Format Chart Area, navigate to the Properties tab, and uncheck “Print Object.” This setting excludes the chart from printouts while keeping it visible on screen for reference.

What do you think? How might these Excel 97 charting techniques enhance your research data presentations? What challenges do you anticipate when creating charts for distance education materials?

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References
  1. https://cameron.econ.ucdavis.edu/excel972003/exchwiz.html
  2. https://www.tutorialspoint.com/excel_charts/excel_charts_elements.htm
  3. https://bettersolutions.com/excel/charts/printing.htm
  4. https://support.microsoft.com/en-us/office/print-a-chart-0182edaf-1f20-4405-a829-088bf40b7a89

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Research For Distance Education

1 Introduction to Educational Research- Purpose, Nature and Scope

  1. Sources of Knowledge
  2. Purpose of Research
  3. Nature of Research
  4. Meaning of Educational Research
  5. Scope of Educational Research

2 Research Paradigms in Distance Education

  1. Research Paradigms in Distance Education
  2. Approaches to Distance Education Research
  3. Research Areas

3 Research in Distance Education

  1. Reviewing the Review
  2. Growth of Distance Education
  3. Distance Learners
  4. Instructional Processes
  5. Economics of Distance Education

4 Formulation of Research Problems

  1. Sources of Identifying a Problem
  2. Definition of the Problem
  3. Hypothesis
  4. Hypothesizing in Various Types of Research

5 Methods of Educational Research

  1. Empiricism
  2. Phenomenology
  3. Critical Paradigm

6 Philosophical and Historical Method

  1. Philosophical Method
  2. Philosophical Inquiry: Main Steps
  3. Historical Method
  4. Historical Research: Main Steps
  5. Main Features of Historical Research

7 Naturalistic Inquiry and Case Study

  1. Naturalistic Inquiry
  2. Naturalistic Method: Main Steps
  3. Issues Regarding Trustworthiness and Objectivity in Naturalistic Studies
  4. Case Study Method
  5. Scientific Nature of Case Study Method

8 Descriptive, Experimental and Action Research

  1. Descriptive Research
  2. Experimental Research
  3. Action Research
  4. Types of Descriptive Research
  5. Designs of Experimental Study

9 Methods of Sampling

  1. Concept of Population and Sample
  2. Methods of Sampling
  3. Characteristics of a Good Sample
  4. Probability Sampling
  5. Non-Probability Sampling

10 Research Tools-I

  1. Scaling in Educational Research
  2. Characteristics of a Good Research Tool
  3. Types of Tools and their Uses
  4. Questionnaires
  5. Rating Scale

11 Interview, Observation and Documents as Tools

  1. Interview
  2. Observation
  3. Documents

12 Data Collection

  1. The Concept of Data
  2. Methods of Data Collection
  3. Ensuring the Quality of Data
  4. External and Internal Criticism of Documents

13 Types of Data

  1. Types of Data: Quantitative and Qualitative
  2. Quantitative Data
  3. Qualitative Data
  4. Measures of Central Tendency
  5. Graphical Presentation of Data
  6. Analysis of Quantitative Data
  7. Analysis of Qualitative Data

14 Statistical Testing of Hypotheses

  1. Classification of Statistical Tests
  2. Parametric Tests
  3. Non-Parametric Tests
  4. Sampling Distribution of Means
  5. Applications of Parametric Tests
  6. Applications of Non-Parametric Tests
  7. Factor Analysis

15 Reporting Research

  1. Why and How to Write a Research Report
  2. The Beginning
  3. The Main Body
  4. The End
  5. Writing Style
  6. Typing and Production

16 Evaluating Research Reports

  1. Criteria for Evaluation of Research Reports
  2. Introductory Chapter: Building the Rationale
  3. Review of Literature
  4. Objectives and Hypotheses
  5. Choice of Research Design
  6. Research Instrumentation
  7. Sample
  8. Data Collection and Analysis
  9. Findings and Implications
  10. Referencing
  11. Annexures

17 Computer for Data Processing

  1. Definition of Computer
  2. Computer Hardware
  3. Computer Software
  4. Data Processing
  5. Using Computer for Data Processing

18 Basics of MS Word 97

  1. Starting Word
  2. The Parts of a Word Window
  3. Word Menus and Commands
  4. Working with Documents
  5. Formatting Text and Paragraphs
  6. Mail Merge
  7. Using Graphics and Tables
  8. Styles and Autoformat

19 Basics of MS Excel 97

  1. Getting Started
  2. Parts of a Worksheet
  3. Creating a New Worksheet
  4. Selecting Cells
  5. Excel’s Chart Features
  6. Essential Worksheet Functions
  7. AutoSum

20 Data Management, Analysis and Presentation

  1. Features of SPSS for Windows
  2. Get Yourself Acquainted with SPSS
  3. Basic Steps in Data Analysis
  4. Defining, Editing, and Entering Data
  5. Running a Preliminary Analysis
  6. Understanding Relationships Between Variables
  7. Non-Parametric Tests
  8. SPSS Production Facility
  9. Statistical Analysis System (SAS)
  10. Introducing NUDIST