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Highcharts control chart

Continuous data is essentially a measurement such as length, amount of time, temperature, or amount of money. Discrete dataalso sometimes called attribute dataprovides a count of how many times something specific occurred, or of how many times something fit in a certain category.

For example, the number of complaints received from customers is one type of discrete data. The proportion of technical support calls due to installation problems is another type of discrete data. This article will examine different data types and how attribute control charts can be used to help track this data.

In the first example, you are simply counting occurrences of something, in this case customer complaints.

Highcharts in Angular 5, 4 or 2

In the second example, you are taking each data point, in this case a technical support call, and bucketing the individual points into separate categories.

Learn more about data types in our article, Six Sigma Data Types. Some people refer to both of these types of data as attribute datawhile others call the first type discrete-count data and the second discrete-attribute data. We will take a look at using control charts for both sub-types of data. Six Sigma project teams use control charts to analyze data for special causes, and to understand the amount of variation in a process due to common cause variation.

With this information they can make the right decision about how to implement process improvements, whether that involves addressing the process itself or dealing with external factors that affect process performance. Learn more about control charts in our Introduction to Control Charts. The most basic type of control chart, the individuals chart, is effective for most types of continuous data.

With attribute data, however, other types of control charts are more powerful. The control limits are calculated differently to provide better detection of special causes based on the distribution of the underlying data.

For discrete attribute data, use the p chart. Recall that discrete attribute data results when you categorize or bucket each instance you are measuring. For example, you might track defective and non-defective components in a manufacturing process. When each data point is based on the same sample size, a special version of the p chart can be used. The np chart follows the same principle as the p chart, but actually plots the number of instances in a category over time rather than the proportion in the category.

By multiplying sample size by proportion n x p you get the actual number in a category. The c chart is similar to the np chart, in that it requires equal sample sizes for each data point. For example, in evaluating errors on loan applications, you would use this chart if you sampled the same number of applications each week. But instead of plotting the proportion of data in a certain category, as does the np chart, the c chart plots count data, such as number of errors.

As with the other control charts, special cause tests check for outliers and process shifts. The u chart is a more general version of the c chart for use when the data points do not come from equal-sized samples.

For instance, if you review all loan applications each week, and the number submitted differs on a weekly basis, you could still count errors and plot the number of errors by week over time. Because of the difference in sample sizes, the control limits will not be constant for each data point. Thus while the same special cause tests apply as for other charts, the outlier test checks specifically for whether a given data point is outside its own control limits.By using our site, you acknowledge that you have read and understand our Cookie PolicyPrivacy Policyand our Terms of Service.

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I need to mix several say 6 or 8 small Highcharts gauges and charts on a single browser window. Is the only reliable way of doing this to create a separate div for each one and to target a separate Highcharts instance at each div? And as a supplementary: Even if there is an alternative approach, is this multi-div approach as good as any, or are there pros and cons?

Keep in mind that you'll want to use jQuery 1. This jsfiddle demo will work cross browser. This technique gives me a lot more control to be interactive with each chart on the fly. Like resize, update data, etc. If you plan on using forms to build charts dynamically then you can also use "just" the javascript code in the above jsfiddle example as the json callback. This will load all the divs each time you hit submit on a form dynamically. You can also use many series in one div.

In my own opinion, I don't think a multi-div approach is a bad idea. Just be careful about the id you will give to the div. But you can create a clean code, on the javascript side.

When you create many charts 6 or 8 is a lot At least to limit duplication.

Types of Attribute Control Charts – The P Chart VS C Chart

There is a good way to do this with jQuery.Display data in chart using JavaScript Highcharts. Generic Repository Pattern and Unit of Work. Feb In this article we learned how Highcharts are useful to display data in drilldown and 3D charts.

We learned to create model objects depending upon the chart selected. I would recommend you to use these models and modify the code as your wish to achieve desired output. NET, and Java also. Can i get this Project, Because i am a newbie and get errors while i am coding it. Thank you. The code has been placed in blog post you can copy and paste int you application.

You can play around it and let me know in case of any findings. You must be logged in to post a comment. Made with by Graphene Themes.

Toggle search form. Web ASP. Display data in chart using jQuery and. Chart is also called as graph and it is graphical representation of data. The data is represented in the form of bar in bar chart, line in line chart and slices using pie chart. Chart can usually be read more quickly than the row data. Chart is the greatest and simplest way to express data to user or management persons. Charts are very common in all type of business requirement.

If you want to develop dashboard then charting is absolutely necessary for your users especially for management. Ajax in MVC. In this post article I will show you the another useful charts like Pie and donut charts. I will also show you the how Highcharts are useful to implement drilldown and 3D charting functionality.

Step 1 : Lets modify the Chart and Series model as per the required properties to bind pie chart. Step 2: Create action method which returns the json result.By using our site, you acknowledge that you have read and understand our Cookie PolicyPrivacy Policyand our Terms of Service. The dark mode beta is finally here. Change your preferences any time. Stack Overflow for Teams is a private, secure spot for you and your coworkers to find and share information.

I have a pie chart. Also, the ul will be able to be closed upon clicking, but I also want it to put its corresponding pie slice back into the pie. Sounds easy enough but I'm just not quite sure how. Could someone help point me in the right direction? Is this explained well enough? Learn more. Asked 6 years, 6 months ago. Active 6 years, 6 months ago. Viewed 2k times.

Chris Chris 57 1 1 silver badge 5 5 bronze badges. Active Oldest Votes. Eugen Halca Eugen Halca 1, 2 2 gold badges 10 10 silver badges 21 21 bronze badges. Ah, yes. I had the select ; in there at one point, but I wasn't getting the index. Thanks so much Eugen. Sign up or log in Sign up using Google. Sign up using Facebook. Sign up using Email and Password.

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Question feed.Continuous data is essentially a measurement such as length, amount of time, temperature, or amount of money. Discrete dataalso sometimes called attribute dataprovides a count of how many times something specific occurred, or of how many times something fit in a certain category.

For example, the number of complaints received from customers is one type of discrete data. The proportion of technical support calls due to installation problems is another type of discrete data. This article will examine different data types and how attribute control charts can be used to help track this data. In the first example, you are simply counting occurrences of something, in this case customer complaints. In the second example, you are taking each data point, in this case a technical support call, and bucketing the individual points into separate categories.

Learn more about data types in our article, Six Sigma Data Types.

highcharts control chart

Some people refer to both of these types of data as attribute datawhile others call the first type discrete-count data and the second discrete-attribute data. We will take a look at using control charts for both sub-types of data.

Six Sigma project teams use control charts to analyze data for special causes, and to understand the amount of variation in a process due to common cause variation.

With this information they can make the right decision about how to implement process improvements, whether that involves addressing the process itself or dealing with external factors that affect process performance.

Learn more about control charts in our Introduction to Control Charts. The most basic type of control chart, the individuals chart, is effective for most types of continuous data. With attribute data, however, other types of control charts are more powerful. The control limits are calculated differently to provide better detection of special causes based on the distribution of the underlying data. For discrete attribute data, use the p chart.

highcharts control chart

Recall that discrete attribute data results when you categorize or bucket each instance you are measuring. For example, you might track defective and non-defective components in a manufacturing process. When each data point is based on the same sample size, a special version of the p chart can be used.

The np chart follows the same principle as the p chart, but actually plots the number of instances in a category over time rather than the proportion in the category. By multiplying sample size by proportion n x p you get the actual number in a category.

highcharts control chart

The c chart is similar to the np chart, in that it requires equal sample sizes for each data point. For example, in evaluating errors on loan applications, you would use this chart if you sampled the same number of applications each week. But instead of plotting the proportion of data in a certain category, as does the np chart, the c chart plots count data, such as number of errors. As with the other control charts, special cause tests check for outliers and process shifts.

The u chart is a more general version of the c chart for use when the data points do not come from equal-sized samples. For instance, if you review all loan applications each week, and the number submitted differs on a weekly basis, you could still count errors and plot the number of errors by week over time. Because of the difference in sample sizes, the control limits will not be constant for each data point. Thus while the same special cause tests apply as for other charts, the outlier test checks specifically for whether a given data point is outside its own control limits.

Special use of p charts. Most control charts plot data over time. The p chart has an additional use, however, for data that is being compared across conditions rather than over time. For instance, a project team might be analyzing resolution rates for different technical support teams or different types of support problems.

In such a situation, a p chart calculates control limits separately for each data point, and any data point lying outside its own control limits represents special cause. The project team would then investigate why performance for that specific category was higher or lower than expected based on typical process performance.By using our site, you acknowledge that you have read and understand our Cookie PolicyPrivacy Policyand our Terms of Service.

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Highcharts - Overview

Change your preferences any time. Stack Overflow for Teams is a private, secure spot for you and your coworkers to find and share information. I want to have a chart that resizes with the browser window, but the problem is that the height is fixed to px. This JSFiddle example has the same problem. How can I do that? I tried using the chart.

Just don't set the height property in HighCharts and it will handle it dynamically for you so long as you set a height on the chart's containing element. It can be a fixed number or a even a percent if position is absolute. Remove the height will fix your problem because highchart is responsive by design if you adjust your screen it will also re-size. If it is a string, the element by that id is used.

Otherwise you can do:. When using percentage, the height it relative to the width and will dynamically change along with it:. JSFiddle Highcharts with percentage height. Learn more. Highcharts - how to have a chart with dynamic height? Ask Question. Asked 8 years, 3 months ago. Active 1 year, 8 months ago. Viewed k times. Active Oldest Votes. Any idea how to do this with a bar chart? See demo: jsfiddle. I noticed that thanks. What I am really trying to do is to have the chart grow as it has data.GitHub is home to over 40 million developers working together to host and review code, manage projects, and build software together.

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community. Already on GitHub? Sign in to your account. When switched to use highstock-release the chart isn't rendered, however when using Highcharts it does work. StockChart chartOptions. Still valid using highstock-v1. Works as expected in Highstock 1. This bug seems to be back in Highstock 2. Commenting out the options.

It works here Perhaps because it is a regular Highchart and not a Highstock Chart? Haven't tested with just a regular Highchart, but according to your fiddle that should work. According to my example though, it doesn't work with a Highstock chart and removing the options.

Hello TorsteinHonsi pawelfusI'm using version 5. For kicks I changed new Highcharts. Map to new Highcharts. Chart, and tried Highcharts. Series elements persist as expected.


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