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Customizing your charts using Highcharts API, HTML and JavaScript

I have two stacked bar charts, but all the legends of both bars are displayed together. I want to group the legends based on the items stacked in the bar. I have similar type of bar.

Based on the reference example you linked to, you can do this with the new series 'linkedTo' property in version 3. I know this is an old issue, but setting showInLegend on your series, will work, and seems the easiest way. You can't group the legends by stack, because then you'll lose the ability to identify the different components IE either the individual series won't have a distinct color or the legend color won't match them.

The legends map to the people because those are all distinct data sources and since you add them that way it displays them like that. If you don't care about the different components having a distinct color, then you don't want a stacked bar chart at all. You can just have a normal bar chart with 2 series, male and female. Learn more. Grouping Legends in Highcharts Ask Question.

Asked 7 years, 3 months ago. Active 1 year, 4 months ago. Viewed 14k times. Ben McCormick Agi la Agi la 2 2 gold badges 3 3 silver badges 12 12 bronze badges. Could you show us the code you're using so far? Refer this jsfiddle. You can't do that without losing information.

See my answer. Active Oldest Votes. Still makes the colors confusing though. Yeah, I don't think there's a great way to handle the colors. We can make it better though Jakob K Jakob K 1 1 silver badge 9 9 bronze badges. This was the solution I was looking for, everything else was far too complicated and more importantly, didn't work.

However, I also included a showInLegend: true for the data point I did want to include in the legend - and it worked perfectly.

Thanks Jakob! Sign up or log in Sign up using Google. Sign up using Facebook. Sign up using Email and Password.Sometimes great ideas come from trying to solve simple problems. This seems to be especially true for software developers who are willing to put in an unreasonable amount of effort to solve a simple problem to their satisfaction. Frustrated with the common flash plug-ins, and other proprietary solutions available at the time, he decided to build a standards-based solution of his own and then, of course, share it.

Please note that all products in this library are free for non-commercial use. We will demonstrate the functionality of this package as well as of Highcharts in general through a series of visualisation examples. FiveThirtyEight generously makes the data used in some of their articles available on their GitHub repository. The data used in this particular analysis can be found here.

Our goal is to recreate this particular visualization. In order to do so, we need to calculate the differences between the number of births on the 13th and the average of 6th and 20th of each month, and aggregate these values for the days of the week. There are two reasons for this:.

This plot has some attractive features. For example, if you hover over the points you should be able to view the actual values of the plotted data. But, we need to do some customization to make the plot look like the one in the FiveThirtyEight article.

We can achieve that using the highchart function along with some customization functions. Note that we separate the layers with the pipe operator. Once again, an attractive feature of this visualization is the hover tooltip. Additionally, we are able to easily change labels e. Since the highcharter package is powered by htmlwidlgets, it is also Shiny compatible! In order to build a highchart within a Shiny app, we use the renderHighchart function.

We have built an app that extends the visualization we created earlier, allowing for custom selection of years plotted, type of plot, and theme. You can view the app and the source code here. However, whether or not these features would be useful for you depends on your use case.

For example, the tooltip is not as useful if you are plotting data with larger sample sizes. Take a look at this plot of arrival vs. The overplotting on the lower left of the plot makes the hovering functionality not that useful.

However, if we aggregated the data a bit to reduce the number of points plotted, this functionality could once again come in handy. For example, below we group the flights by minute intervals in departure delays, and plot the median arrival delay for these intervals. Highcharts provides high quality web graphics with high customizability, and the highcharter package allows R users to take full advantage of them.

Additionally, the Highcharts Options Reference page is immensely useful for finding the specific syntax for customization options. You may leave a comment below or discuss the post in the forum community. There are two reasons for this: Holidays are excluded in the FiveThirtyEight but not in this analysis.Highcharts plugin which adds possibility to group points in the flags series. GitHub is home to over 50 million developers working together to host and review code, manage projects, and build software together.

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Grouping Dates in a Pivot Table VERSUS Grouping Dates in the Source Data

The plugin replaces initial set of points with a calculated shorted list every time when chart's extremes change. Initial points still available after grouping in initialPoints of the point field and can be used for formatting. Skip to content. Highcharts plugin which adds possibility to group points in the flags series MIT License.

highcharts group by month

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Sign up. Branch: master. Go back. Launching Xcode If nothing happens, download Xcode and try again. Latest commit. Git stats 22 commits 2 branches 0 tags.

highcharts group by month

Failed to load latest commit information. View code. About Highcharts plugin which adds possibility to group points in the flags series Resources Readme. MIT License. Releases No releases published. You signed in with another tab or window. Reload to refresh your session. You signed out in another tab or window.I am using Highcharts and setting my data series with [epoch, yVal] or another example.

For this project fork this repo in to your own git repo and modify to accept data series in my format. Create a JS fiddle to show your work. Please show examples of your Javascript work when bidding.

highcharts group by month

Send links to you source. Skills: JavaScript. Hi, Let me thing clear on the project This fiddle is from the github: [login to view URL], It show that the day set to the plugin is the label only. So I think I can modify your full data into readable o More.

I am able to More. I had saw links which you provided. I have all the necessary qualifications for work. I have been engaged in web development for over 8 years. I know a lot of web technologies. I have a few questions on the ass More. Nice to meet you, Anagio. I can do this project as well We have experience in thoses skills: Javascript.

I have experience in web application with many large sites in PHPnodejs, angularjs, react js and nativeJava enterprise applications More.

Thanks for providing me opportunity to place bid over the project and communicate with you. I am an experienced developer with close to 5 years experience in ASP. I also have a wealth of experience developing for a dynamic and responsive client side using advanced Ja More. The email address is already associated with a Freelancer account.

Enter your password below to link accounts:. Freelancer Jobs JavaScript Highcharts date grouping day, week, month I am using Highcharts and setting my data series with [epoch, yVal] or another example data: [[,],[,85]] This plugin only works if the xAxis categories are set to a day [login to view URL] For this project fork this repo in to your own git repo and modify to accept data series in my format. Looking to make some money? Your email address.

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BaNgan Hi, Let me thing clear on the project This fiddle is from the github: [login to view URL], It show that the day set to the plugin is the label only. MyAwesomeTeam Nice to meet you, Anagio. Link Accounts. I am a new user I am a returning user.A Highcharts plugin to group datasets by date ranges and aggregate results ie.

GitHub is home to over 50 million developers working together to host and review code, manage projects, and build software together.

If nothing happens, download GitHub Desktop and try again. If nothing happens, download Xcode and try again. If nothing happens, download the GitHub extension for Visual Studio and try again. This plugin is meant to help group data over a time domain. The raw dataset should be datapoints broken down by day in order for the plugin to make weekly and monthly sums. Skip to content. Dismiss Join GitHub today GitHub is home to over 50 million developers working together to host and review code, manage projects, and build software together.

Sign up. Branch: master. Go back. Launching Xcode If nothing happens, download Xcode and try again. Latest commit. Git stats 38 commits 2 branches 0 tags. Failed to load latest commit information.

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View code. Highcharts Date Range Grouping This plugin is meant to help group data over a time domain. Demos Defaults Date Formatting Options. About A Highcharts plugin to group datasets by date ranges and aggregate results ie.

Daily, Weekly, and Monthly Charts On The Same Graph

MIT License. Releases No releases published. You signed in with another tab or window.Bottom line: Learn the differences between the Group Dates feature in a pivot table and grouping dates in the source data by adding extra columns for year, month, quarter, etc. One of the many reasons that pivot tables are awesome is that they allow us to quickly group dates to create summary reports. What does grouping dates mean? Well, it just means that we are grouping all the date values in a column into a year, quarter, month, day, etc.

Is one better than the other? Not necessarily. Like everything in Excel, there are always a few different ways to accomplish a task. The method you use here depends on your needs, and your company's fiscal calendar.

The Group Field feature allows us to quickly group a field of dates into Year, Quarters, Months, etc. This means that the source data does NOT need to contain columns with the year, quarter or month name. After we create the groups on the Grouping menu, new fields are added to the pivot table field list. The Field will be grouped and new fields will be added to the fields list for the groups. In Excel this grouping happens automatically when you add a date field to one of the areas in the pivot table.

This is a setting that can now be turned on or off in the Excel Options menu. If you are on an older version of Excel then this setting is on the Advanced tab of Excel options. Here is a screenshot. If you disable the automatic grouping feature you can still use the Group feature for pivot tables. The groups will NOT be created automatically when you drag a field to an area in the pivot table, but you can click the Group button on the Analyze tab to bring up the Group Field menu.

They are actually stored in the pivot cache in the background. Pivot tables can share a pivot cache if they share the same source data range or table. That means that all pivot tables that share the cache, will also share the groupings.

So, if you group a date field in one pivot table, you might get unexpected results in another pivot table.

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Your other pivot tables that share that same pivot cache could also change. This can cause frustration and confusion. Unfortunately, there is no way to see which pivot tables share the same cache in the Excel application. We can use VBA for this. You can unshare the cache by changing the source data range, but this can get messy if you have a lot of pivot tables.

My PivotPal Add-in also has a feature that shows a list of all the pivot tables in the workbook and the associated pivot cache. So the main advantage of using the pivot table group field feature is that it is quick and easy. If you just need a quick pivot table report by year, quarter, or month, then this is an easy solution.

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The other option is to add columns to the source data that calculate the groups. I explained this in more detail in my article on grouping times in Excel.By using our site, you acknowledge that you have read and understand our Cookie PolicyPrivacy Policyand our Terms of Service.

Stack Overflow for Teams is a private, secure spot for you and your coworkers to find and share information. I'm having a very difficult time trying to get my data to be grouped via month. I've even gone so far as to programmatically filter through my data to return only the last day of the month and calculate the monthly value.

I've tried to find a good explanation on the 'dataGrouping' property but have had no luck understanding it nor properly implementing it. Every results returns my series in a daily interval. Sure, it takes a lot of data to get grouping. If datagrouping option is enabled, Highstock handle automatically the switch between every grouping mode. So if you don't have a lot of data, it will not work with default settings.

On click of weekly rangeselectorButton we catch this event through setExtremes. Post catching the event approximate it to "sum". If you are using two series than iterate the object. Learn more. Data Grouping - Monthly end-of-month Ask Question. Asked 7 years, 2 months ago. Active 2 years, 3 months ago. Viewed 12k times. My questions are as follows: Is there a minimum number of data points needed for data grouping to work?

Under the dataGrouping. Scott Scott 1 1 gold badge 10 10 silver badges 15 15 bronze badges. Active Oldest Votes. Are you using HighStock graph? If yes So if you don't have a lot of data, it will not work with default settings So, if you want to group by default, you need to force the grouping. I'm assuming the: units: [['month'[1]] where 1 is equal to the number of months to group? Scott yes, take look at this: api.

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Thank you for the responses. Just out of curiosity, would any one happen to know the minimum of datapoints required for data grouping to work? Sign up or log in Sign up using Google. Sign up using Facebook. Sign up using Email and Password. Post as a guest Name. Email Required, but never shown. The Overflow Blog.