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Navigation: Home
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\ Math & Scientific Tools \ Grab It
Grab ItXP by DataTrend Software |
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Software Description:
... accurately digitizing published data in open literature for comparison against your own data or improving accuracy when digitizing old data that isn't in an electronic format (old hardcopies of charts for instance). Free Demo. ...
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| Software Info | |
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Best Vista Download periodically updates pricing and software information of Grab It full version from the publisher,
but some information may be out-of-date. You should confirm all information. Software piracy is theft, using crack, warez passwords, patches, serial numbers, registration codes, key generator, keymaker or keygen for Grab It license key is illegal and prevent future development of Grab It. Download links are directly from our mirrors or publisher's website, Grab It torrent files or shared files from rapidshare, yousendit or megaupload are not allowed! |
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| Released: | April 08, 2003 |
| Filesize: | 840 kB |
| Language: | English |
| Platform: | WinOther, Win2000, Windows XP, Windows 7 x32, Windows 7 x64, Windows 8, WinServer, Windows Vista, Windows Vista x64 |
| Requirements: | MS Excel 97 or later |
| Install | Install and Uninstall |
| Add Your Review or Windows Vista Compatibility Report |
Grab It- Releases History |
| Software: | Grab It XP |
| Date Released: | Apr 8, 2003 |
| Status: | Major Update |
| Release Notes: | Added error handling for some graphics cards |
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SigmaXL 6.11 download by SigmaXL Inc.
... Paired t-test, 2 Sample t-test • 2 Sample comparison tests • One-Way ANOVA and Means Matrix • Two-Way ANOVA (Balanced and Unbalanced) • Equal Variance Tests (Barlett, Levene and Welch’s ...
type: Demo ($249.00)
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categories: statistical analysis tool, statistics, anova, pareto chart, SPC in Excel, boxplots, sample size calculators, worksheet manager |
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Grab It XP download by DataTrend Software
Grab It! is a Microsoft Excel based application that digitizes data from pictures. Graphs ... accurately digitizing published data in open literature for comparison against your own data or improving accuracy when ...
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