# Grafana trendline

One of the best ways to learn how a statistical model really works is to code the underlying math for it yourself. In the book Data SmartJohn Foreman introduces a bunch of awesome methodologies by walking you through how to build them in Excel…. Of course, doing regression in SQL also has some practical use as well! For example, suppose you wanted to identify which city in a database of temperature records had the biggest warming trend in the last month. This method would send you on your way without having to bring your data into an external tool.

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Simple linear regression is basically the process of finding the equation of a line slope and intercept that is the best fit for a series of data. We only really need to calculate two values in order to make this happen — B0 our intercept and B1 our slope. Turns out, the formulas for these are pretty simple — thanks, Wikipedia!

If we can apply these formulas, we can do linear regression in SQL! The same applies for Y. I highly recommend taking a look. Putting this into practice in SQL is pretty simple. The code below consists of three nested queries, which will enable us to calculate slope and intercept based on a set of X and Y values. The innermost query uses a windowing function to associate the value of X Bar and Y Bar with each observation.

The outer query simply applies the formula for B0 the intercept and returns both slope and intercept.

Super simple stuff. If I run a regression on this data, I get an intercept of. Which just happens to be exactly what Excel tells me! And the process of working through the math is valuable for its own sake.

This is a great article and a huge help! Thanks in advanced. The results of some quick Googling tell me the formula is this:. That would be if you wanted to force the intercept to be 0 so that your regression line ALWAYS goes through the point 0,0. How is it not quite the same? How about regression with N variables. Most of those answers appear to also be doing simple linear regression with only a slope and intercept.

How do we do in SQL forecasting? Yeah, sounds like you pretty much have it down. You could have two tables — one of known X and Y values, one with known X values for which you want to forecast Y values. Run the regression on the first table.

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I think such feature should be provided by visualization tool, not TSDB. If Grafana provide the feature, all users can use it with all datasources. I agree. I am working on Grafana for IT Operations use case and we have a need to add trend lines. While I think we can achieve this using formulas in source DB however it might be convenient in my opinion to allow the user to add trend lines on the fly from Grafana UI without bothering about source DB formulas. Between - Does anyone have a working formula for adding a moving average kind of trend line in MySQL?

I'd think a panel would be needed. After all, a trend like least squares regression lines is most interesting if you project it into the future.

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Projecting that line out ahead of the data will give you a lot more visual information about the trend you are looking at, and what it might mean for you down the road. That will help with capacity planning, failure prediction, etc. I think that's the kind of thing a special panel could be used for. And if implemented in Grafana via the meta queries feature I'll be especially interested in trend line projection to the future.

Most of the popular time series database that Grafana supports has that built into their query function library. My database is graphite and I don't have a data scientist around to rearchitect the collection. I'm an IT guy using data collected by a vendor provided plugin. So here's another vote for Graphana to do this natively. Hell it could be display level only and in the client javascript.

I just need a line to exist long enough to get a screenshot to show to the boss.

I am looking for ways to pull data out from Grafana and hook it to my own prediction server and push it back into a new data source. Both original data and prediction data should be able to display onto the same chart. Skip to content. Dismiss Join GitHub today GitHub is home to over 40 million developers working together to host and review code, manage projects, and build software together.

Jump to bottom. Copy link Quote reply. This comment has been minimized.Learn about Grafana the monitoring solution for every database. Open Source is at the heart of what we do at Grafana Labs.

The main panel in Grafana is simply named Graph. It provides a very rich set of graphing options. Repeat a panel for each value of a variable. Repeating panels are described in more detail here. The metrics tab defines what series data and sources to render. Each data source provides different options. The default option is Time and means the x-axis represents time and that the data is grouped by time for example, by hour or by minute.

The Series option means that the data is grouped by series and not by time. The y-axis still represents the value. The Histogram option converts the graph into a histogram.

A Histogram is a kind of bar chart that groups numbers into ranges, often called buckets or bins. Taller bars show that more data falls in that range. Histograms and buckets are described in more detail here. The legend values are calculated client side by Grafana and depend on what type of aggregation or point consolidation your metric query is using. All the above legend values cannot be correct at the same time.

It is just the sum of all data points received by Grafana. The section allows a series to be rendered differently from the others. There is an option under Series overrides to draw lines as dashes. Set Dashes to the value True to override the line draw setting for a specific series. Thresholds allow you to add arbitrary lines or sections to the graph to make it easier to see when the graph crosses a particular threshold.

The time range tab allows you to override the dashboard time range and specify a panel specific time. Either through a relative from now time option or through a timeshift.

Please try the status dot plugin instead. This panel shows a dot for each series, where each dot is colored based on the percentage change between the first and last values of that series. This is is useful if you want to monitor a collection of values as they change over time. Options for this panel include variable radius, precision and units for the tooltip and color thresholds for the percentage change.

This panel should work with the following data sources: Graphite. Docker is an easy way to spin-up an instance of Grafana.

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With docker installed, run the following command in the directory containing the plugin; this will expose the local plugin on your machine to the Grafana container so you can test it out. Use grunt test to run the Jasmine tests for the plugin; and grunt eslint to check for style issues.

Note that the plugin controller isn't tested because it depends on Grafana native libraries, which aren't available outside of Grafana.

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For bugs and new features, open an issue and we'll take a look. If you want to contribute to the plugin, you're welcome to submit a pull request - just make sure grunt runs without errors first. Grafana Cloud. Overview Installation. Trend Dot Trend Dot Options. Overview This panel shows a dot for each series, where each dot is colored based on the percentage change between the first and last values of that series.

Compatibility This panel should work with the following data sources: Graphite Development Docker is an easy way to spin-up an instance of Grafana. Contributing For bugs and new features, open an issue and we'll take a look. Sign in to install Version 0.

## Identifying Trends in SQL with Linear Regression

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 am using grafana with opentsdb. I can create charts with avg, max, min etc but I dont see how a trend can be added. Is it possible to put trend line on charts in grafana? I found a way to do this. Use the movingAverage function, and set the window size to something really large, like in the thousands.

The higher you set it, the smoother the trendline gets. Learn more. How do you create trend line in grafana charts Ask Question. Asked 5 years, 6 months ago. Active 4 years, 6 months ago.

The Overflow Blog.Learn about Grafana the monitoring solution for every database. Open Source is at the heart of what we do at Grafana Labs. Read the Windows installation guide. In this config file you can change things like the default admin password, http port, grafana database sqlite3, mysql, postgresauthentication options google, github, ldap, auth proxy along with many other options.

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The open platform for beautiful analytics and monitoring. No matter where your data is, or what kind of database it lives in, you can bring it together with Grafana. Nightly Builds. Open Source Enterprise. Apache 2. What's New In Grafana 6. It also has the benefit of allowing an upgrade to the full Enterprise feature setincluding support for Enterprise plugins.

Adding to our long list of query functions, Datadog now offers three regression functions to enhance your dashboards. In linear regression, an algorithm tries to find the line that best represents a set of points. For most cases, this algorithm works great, but it can be easily influenced by outliers. Just a small number of outlier points can hugely impact the regression. Our robust regression implementation uses Huber loss to pay less attention to metric values that are very different from the rest of the series.

Quick tip: diving into a metric in Grafana using Explore

The picture below shows how the two algorithms produce different results for a series with a handful of extreme values. At Datadog, we like adding the trend line as a dashed line like this:.

The heat map visualization type can help visualize the distribution of the series, and top lists can help identify specific tags that are at the top or bottom of the pack. Using trend lines gives you another option for cleaning up a chart by flattening out fluctuations in individual timeseries. Often this is the case when a code or config change results in a sudden change in a metric. The number and duration of the segments i. As with linear trends, the piecewise constant regression can also be overlaid on top of a metric.

Functions for trend lines, robust trends, and piecewise regression are now available through the graph editor for all Datadog users.

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