Learn data wrangling, analysis and visualization with my book Data Wrangling with JavaScript!
Data analysis and visualization in JavaScript with Data-Forge Notebook
Another quick update on my progress developing Data-Forge Plot (DFP). The API has recently evolved but is remains relatively stable, although there are still features I must add to it. I’m sure it will continue to evolve as I integrate new visualization libraries and expand the API. The main thing I have done recently is to extract and restructure the export and capture code, which I talk about in this post.
»Today I’m announcing my new product for data analysis, transformation and visualization in JavaScript!
»Just a quick update of my progress developing Data-Forge Plot. The API has evolved a little bit and so has my thinking around it. I’ve also started adding examples and unit tests.
»This is the transcript of a conversation I had recently with Athan Reines, co-creator of the JavaScript stdlib library. We talked about why Athan created the library, why he needs to do scientific computing in JavaScript and the difficulties he has encountered. We also discussed the state of data science in the JavaScript ecosystem and how far off we are from equalling Python and what it would take for us to catch up.
»Over the past couple of weeks I’ve prototyped a new API for plotting in JavaScript. You might rightly wonder why I’ve done this? Surely there’s already enough JavaScript visualization libraries in the wild?
»I have some big news. I’ve just published Data-Forge version 1 to npm! After over 2.5 years, 1,148 commits and 2 Github repositories it’s finally here, and now rewritten in TypeScript no less! This software has been in gestation for sometime.
»The early access program (MEAP) for my book Data Wrangling with JavaScript was updated last week! The first 7 chapter are now available, with more chapters to come.
»I work with JavaScript quite a lot and it shows in this blog, so you won’t be surprised to hear that I’ve been putting together a book that teaches how to do data wrangling in JavaScript.
»I’ve been doing a lot of data analysis in JavaScript. It makes sense for me to work in JavaScript, because I already use it and that’s where my visualizations normally end up. JavaScript has a very rich ecosystem of visualization libraries so that’s not surprising. All these visualization libraries are browser based… which is great if that’s where you want your visualization to be. It’s not so great if you just want to render a chart to an image, say to store for later or to include in some kind of report.
»As a stock trader I need a ready of supply stock market data for analysis and visualisation. That data is needed for decision making and I often render it to a chart to better understand it.
»This is a revisit with various improvements to my original post on The Data Wrangler. In this post I show how to visualise stock data using Data-Forge and Highstock. I also demonstrate how to apply a simple moving average to the price data.
»Are you interested in stock trading but don’t have time to watch prices all day? Why stare at the screen for hours on end when you can automate this kind of thing. This post talks about a small app I created to continuously and automatically detect when the price of particular companies have risen to specified levels.
»Do you have a slow internet? Need to visualize your internet speed over time? Do you want to know when outages are happening?
»Linear regression is a technique that is very useful when analysing the trajectory of a stock. In this post I’ll show how to compute and render a linear regression trend line.
»Average true range is an indicator that is useful for judging the volatility of a stock. I use this to set the level for my stop loss orders. In this post I’m going to show how to calculate and visualise average true range in JavaScript.
»In this first post on The Data Wrangler I show how to visualise financial data from the Yahoo API using Data-Forge and Highstock. I also demonstrate how to apply a simple moving average to the price data.
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