Grapheasily Display Data In Charts & Graphs Chart
Grapheasily Display Data In Charts & Graphs Charts

The database is SQL server 2008 and I'm making the webpage using ASP.net - C Sharp. I don't mind what language I would have to use to display the chart on the webpage or so much the page refresh, just need to figure out how to display the data, I'll take a look at your links and reply how I get on, cheers. – bobby123 Feb 22 '11 at 0:59. When the formulas don’t show the values, they will not appear in the chart. The extended data range is shown below. At first the formula in cell F2 (and copied into the entire range F2:I13) is simply =B2. To give the user a choice, add two option buttons and label them Chart A and Chart B. Gauge Charts Gauge charts are good for displaying KPIs (Key Performance Indicators). They typically display a single key value, comparing it to a color-coded performance level indicator, typically showing green for “good” and red for “trouble.” A Dashboard would be the most obvious place to use Gauge charts. Click on the chart and select the data (Include the blank row which you have just filled with value 22. Chart will show straight line for this data series in straight line chart but a bar column in bar chart. Click on this data series and change bar chart to line chart. The Chart.js library is one of the great online JavaScript libraries which builds data using HTML5 canvas element to draw graphs and charts, complete with documentation. To see Chart.js in action, we’re going to build the following charts using web programming languages as our labels with their fictional data.

Jul 23, 2019

The quality of our lives is determined by the choices we make. Sometimes the choices are simple, like which flavor of ice cream to indulge in. Let’s say the choices are vanilla ice cream, chocolate ice cream, and strawberry sorbet. Sweetness is great, but on a hot day, vanilla and chocolate lack that light and fruity feeling I want.

Here’s how I analyzed my ice cream choice:

Question: Which flavor of ice cream should I get?

Goal: I want the flavor to complement this hot summer day, and to me, that means something light and fruity.

Outcome: Strawberry sorbet

Yum. But what about the more serious choices, like deciding how much income to squirrel away for retirement?

The same process still works:

Question: How much of my income should I save?

Goal: I want to enjoy a good life post-retirement. Research suggests that means saving at least 20%.

Outcome: I’ll save at least 20%.

Each choice can be broken down with the framework of “question, goal, outcome.” In this framework, you have a question and a goal that you’re trying to achieve. Your goal motivates how you choose between options to get to the outcome.

Choosing the best chart or graph for your data is similar, in that the outcome depends on your goal. You can even use the same “question, goal, outcome” framework. I’ll provide some examples of choosing a chart with this framework further on.

For now, let’s focus on the “goal” part of the framework as it relates to displaying data. We see most visualizations as fulfilling one of four main objectives:

Showing how values compare to each other
Showing how the data is distributed
Showing how the data is composed
Showing how values relate to one another

The challenge of choosing the right visualization lies in finding the goal beneath your data question. Once you identify the goal, choosing the right chart becomes easier, particularly when you have a reference like the one below. (Feel free to print it out and keep it nearby.)

Types of Charts & Graphs

This points you in the right direction, but there are multiple charts in each category. How’s an analyst to choose? Familiarizing yourself with the nuances of each graph will help.

How to choose the best chart for your data

What’s the best chart to show comparison?

Comparison questions ask how different values or attributes within the data compare to each other.

Tables help you compare exact values to one another. Column and bar charts showcase comparisons across different categories, while line charts excel at showing trends over time.

Chart type	Ideal use
Column Chart	Comparisons with fewer categories and short names (for display and readability purposes).
Grouped Column	Direct comparisons of multiple data series per category. Keep in mind that in a grouped column chart, it becomes more difficult to compare a single series across categories.
Bar Chart	Comparisons with a large number of categories, since stacking category names vertically makes them easier to read. Bar charts are also great for displaying negative numbers.
Line Chart	Showing trends in continuous data over time.
Overlay Line	Showing trends in continuous data over time with multiple dimensions.
Table	Displaying exact values; not ideal for finding trends or comparing data sets.

What’s the best chart to show distribution?

Distribution questions seek to understand how individual data points are distributed within the broader data set.

Box plots show distribution based on a statistical summary, while column histograms are great for finding the frequency of an occurrence. Scatter plots are best for showing distribution in large data sets.

Chart type	Ideal use
Box Plot	Showing how data is distributed based on a five-number statistical summary. A small “box” indicates that most of the data falls within a consistent range, while a larger box indicates the data is more widely distributed.
Column Histogram	Showing distribution of variables, plotting quantitative data, and identifying the frequency of something occurring within a bucketed range of values. This differs from a column chart because histograms have quantitative data on both axes, rather than relating information about categories.
Scatter Plot	Showing how data is distributed with two variables, especially good for large data sets; quickly identifying specific data points that are outliers.

Grapheasily Display Data In Charts & Graphs

What’s the best chart to show composition?

Composition questions ask what general features are present in the data set.

Donut and pie charts are great choices to show composition when simple proportions are useful. Area charts put the composition of data within the context of trends over time. Stacked bar, percent, and column charts show an overview of the data’s composition.

Grapheasily display data in charts & graphs printable

Chart type	Ideal use
Donut Chart	Examining part-to-whole relationships when simple proportions provide meaningful information and pivots for multiple categories are needed.
Pie Chart	Examining part-to-whole relationships when simple proportions provide meaningful information.
Area Chart	Showing trends in continuous data over time in the context of part-to-whole relationships**. Area charts are not ideal for distinguishing the trends of individual data sets over time because the overlapping colors can prevent the trend from being easily seen.
Stacked Bar	Showing an overview of the composition of data among many categories, or when working with time.
Stacked Percent	Times when the pure composition of data is the message you want to deliver and exact values aren’t necessary. This chart also works well when comparing the proportional contributions of different categories.
Stacked Co

Grapheasily Display Data In Charts & Graphs