Search Results for "data analysis"

DEAS provides Data Envelopment Analysis tools for Stata. Version 2.0 is a major update centered on a unified dea command for Stata 16 or later. It consolidates sixteen DEA model families into one interface, keeps backward compatibility with the original inputs = outputs syntax, and adds a fast Mata two-phase revised simplex engine alongside Stata's LinearProgram() IPM engine.

...Instead of manually opening and running a notebook inside JupyterLab or Notebook every time, Papermill lets you inject new values into a specially tagged parameters cell and execute the entire notebook automatically via a script or automation pipeline, which enables robust automation of data analysis, reports, and experiments. This capability is particularly useful in data science and analytics, where a template notebook might be reused for batching reports across dates, customers, or other variables without rewriting code or duplicating notebooks. Papermill supports both Python API usage and a command-line interface, making it flexible for integration with CI/CD systems, shells, and workflow orchestration tools like Airflow.

It is hard for non-developer to visualize data. But if you use IDEA, you can visualize data easily. If you want to test Project: IDEA locally on your environment, you require mecab-ko and mecab-ko-dic. If you have some data which you want to visualize, just put it in IDEA. Then click the Visualization button!

This library implement RIMS controls for home brewers. For definition of a RIMS, see https://tinyurl.com/j3lyuyc For me, an Arduino micro controller + a LCD Keypad shield was cheaper and a lot more customizable than a commercial PID controller. So, with this library, a commercial PID controller is unnecessary. Automatic PID tuning toolkit is also included. Temperature can be read with a thermistor, a resistance temperature detector (RTD) or any custom temperature probe. Heater is...

Psygraph is a Personal Data Collector (PDC) and activity timer. It includes a stopwatch, timer, counter, and note taker (voice recorder), each of which collects data from the device’s sensors (e.g. the device velocity and location (via GPS)). Although the interface is simple (a button or two on each screen), the data is saved for later analysis and display (you can store and view the data on WordPress).