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dbUPLoader is a tool to import data from csv or MS-Excel files into a database. You can distribute data across several tables, create relationships between imported data and integrate sub queries to reference existing data.
OSM XML to CSV conversion. POI only, polygons (and polylines, but not recommended) are approximated by centroid. Result is a 3-column table with lon, lat and value (for a particular key to be chosen beforehand).
This script takes the Western Australian linked health data provided by the Data Linkage Unit and converts it to a TAB delimited format that is easier to import into SPSS or Excel etc. Mileage may vary.
The London Datastore (http://data.london.gov.uk) was created by the Greater London Authority (GLA) as an innovation towards freeing London’s data. This SourceForge Project will be used to Open Source our development efforts surrounding data formats
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A script written in pure PHP that can easily generate dynamic surveys based off of included template CSV (comma separated value) files. Setting up the script is as simple as editing the template file and transferring the directory to a server.
A CSV mass editor for advanced users, written in PHP. Its purpose is not to edit the data, but to mass manipulate it: re-arrange, join and delete columns, join rows, search and replace using regexes and a bit more.
This projects has the intent to take any file that has a header and any number of lines, take out the blank lines, the carriage return and the line feed, given as delimitation the "project number" format and generates a new clean file.
CSVChecker is a python utility designed to check CSV file for field length and format. Configuration is made on a field basis through YAML configuration file.
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MongoDB Atlas gives you the freedom to build and run modern applications anywhere—across AWS, Azure, and Google Cloud. With global availability in over 115 regions, Atlas lets you deploy close to your users, meet compliance needs, and scale with confidence across any geography.
To switch historical data quotes, from a format to a other one.
For example to move historical data quotes from MetaTrader4 to NinjaTrader.
Or to move historical data quotes from NinjaTrader to MetaTrader4 .
The Time Series Toolbox is a set of software components that simplify the task of building applications that record, process, store and publish time series of observations. Current main application area are sensor networks.
This tool is a small tool to upload a csv file to a database. This tool can analyse a CSV file and it can determine the field lenght and the column name.
Omni is a Java package for reading and writing a variety of data file formats. Currently, Omni supports formats such as CSV, tab-delimited, pipe-delimited, and fixed-width files. There are future plans for more formats.
Easy to use ready to go CSV File Reading utility. Read One or Multiple files into a RecordManager, quick access to the file with segmentation into Fields and Records. Merge Multiple CSV files in one. Listener to CSV Files.
Simple swing database is a small platform indipendent database which stores records in a file format of csv.The program was for my friend,who wanted to have access to the data in a file format of CSV (utf8).Being able to search/edit/remove/add new record
JFling provides tools for (un)marshalling fixed length string data to and from java objects with typed properties. It's codegenerator uses plain csv files to generate fixed-length-string wrapper classes. (see our wiki 'Hosted Apps/Trac' for more info)
A command line utility to display statistics about a text file consisting of lines of data. The statistics include counts of line terminator pairs (CR, LF, CR+LF) and line counts. Also shows if there is an unterminated trailing line.
XML is a standard to move data around easily and CSV format is the easiest to display huge chunk of data. xml2csv offers, light weight and easy conversion of XML data to CSV formated data.
ktdata is a C++ library for accessing tabular data, like from CSV files. Its goals are:
1. object design
2. portability (Linux and Windows support at least)
3. high performance
4. support for common data file formats, like CSV, ARFF (Weka), etc.