Search Results for "javascript form validation"

This repository holds slides and code for a full Bayesian statistics graduate course. Bayesian statistics is an approach to inferential statistics based on Bayes' theorem, where available knowledge about parameters in a statistical model is updated with the information in observed data. The background knowledge is expressed as a prior distribution and combined with observational data in the form of a likelihood function to determine the posterior distribution. The posterior can also be used...

city-roads is a data visualization and mapping project that renders street networks of cities as vector paths, offering an interactive, zoomable experience that highlights how cities are stitched together by their road infrastructure. It typically fetches open map data (such as from OpenStreetMap) and then processes that data into geometry suited for rendering in the browser, allowing users to explore intricate road layouts at various scales. The visual style often abstracts away labels and...

This small component allows you to integrate an excel-like datasheet. By default, the spreadsheet handles keyboard navigation and copy-pasting of cells. This example computes expression underneath using mathjs. On an invalid expression, the cell changes color to show the error. Note that react-datasheet does not handle the validation nor the formula computation. Custom renderers allow you to add significant new capabilities to your sheets without requiring changes to react-datagrid itself....

CollectD-CSV Plotter is a web interface for fetching and visualizing data that is saved in CollectD CSV format. An HTML form is used for defining the time interval and choosing the wanted measurements. The plotter is actually a front-end for collectd-csv module (http://pypi.python.org/pypi/collectd-csv/), which it uses for fetching the data. Technologies CollectD-CSV Plotter uses include CGI/Python, HTML5/JavaScript, jQuery, jQuery-UI and Gnuplot.

ValiTerms is a tool that helps the validation of terms in corpus. It finds their occurrences and allows terminologists to choose if a term is relevant or not. ValiTerms is developed at LIPN (http://www-lipn.univ-paris13.fr), RCLN team. Please consult the wiki for instructions about installation and usage.