Origin ProfessionalÀº Origin StandardÀÇ ¸ðµç ±â´ÉÀ» Áö¿øÇϸç, Fitting, Analysis tool, Statistics & Signal Processing, Peak Fitting¿¡ ´ëÇÑ °í±Þ ºÐ¼®µµ±¸¿Í ¾ÖÇø®ÄÉÀ̼ÇÀ» Á¦°øÇÕ´Ï´Ù.
º» ¸µÅ©¸¦ ÅëÇØ Standard¿Í professionalÀÇ ±â´É Â÷À̸¦ È®ÀÎÇÏ½Ç ¼ö ÀÖ½À´Ï´Ù.



"Yet again Origin and OriginPro upholds its foremost status as the best purposeful and
all-embracing data analysis and graphing software on the market.
Although other software packages exist, few are as straightforward to use, flexible, and high-quality when it comes to performing challenging data analysis or creating publication superior graphs."



- Keith J. Stevenson Professor of Chemistry The University of Texas at Austin -



OriginÀ» ¼±ÅÃÇØ¾ß ÇÏ´Â ÀÌÀ¯

Why Choose Origin?

All in One Tool

ÇϳªÀÇ ÀÀ¿ë ÇÁ·Î±×·¥À¸·Î ÃÖÁ¾ º¸°í¼­ÀÇ
µ¥ÀÌÅ͸¦, Æ÷ÀÎÆ® ¾Ø Ŭ¸¯ ¿¢¼¼½ºÇÕ´Ï´Ù.

Graphing

2D, 3D, Contour, Heat Map, Polar, Åë°è, Multi-axis¿Í Multi Æгα׷¡ÇÁ¸¦ Æ÷ÇÔÇÑ 100°³ ÀÌ»óÀÇ
³»Àå ±×·¡ÇÁ¸¦ Áö¿øÇÕ´Ï´Ù.

Curve Fitting & Peak Analysis

¼±Çü ¹× ºñ¼±Çü °î¼±ÀÇ ÇÇÆà ¸ÂÃã, ±âÁØ°¨Áö, ÇÇÅ© ÅëÇÕ ¹× µðÄÁº¼·ç¼Ç ¿Ü ¿©·¯ ±â´ÉÀ»
Æò°¡ÇÏ´Â °­·ÂÇÑ µµ±¸ÀÔ´Ï´Ù.

Batch Processing without Programming

ÀÚµ¿À¸·Î »õ µ¥ÀÌÅ͸¦ °¡Á® ¿Í¼­ ±×·¡ÇÁ¿Í ºÐ¼® °á°ú¸¦ ¾÷µ¥ÀÌÆ®ÇÕ´Ï´Ù.
¶ÇÇÑ ÇÁ·Î±×·¡¹Ö¾øÀÌ GUI¿¡¼­ ¿©·¯ °³ÀÇ ÆÄÀÏÀ̳ª µ¥ÀÌÅÍ ¼¼Æ®ÀÇ ÀÏ°ý 󸮸¦ ¼öÇàÇÏ°í ¿ä¾à º¸°í¼­¸¦ ÀÛ¼ºÇÕ´Ï´Ù.

ÇÏ´ÜÀÇ ¿µ»óÀ» Ŭ¸¯ÇϽøé ÀÚ¼¼ÇÑ Á¤º¸¸¦ ½ÃûÇÏ½Ç ¼ö ÀÖ½À´Ï´Ù.



Batch Processing Without Programming





Origin Professional ÁÖ¿ä±â´É

ÇÏ´ÜÀÇ ±â´ÉÀ» Ŭ¸¯ÇϽøé À̵¿ÇÕ´Ï´Ù.








Signal Processing ±â´É

Signal Transforms
OriginÀº µðÁöÅÐ ½ÅÈ£ ºÐ¼®À» À§ÇÑ ¸î °³ÀÇ º¯Çü ¸Þ¼Òµå¸¦ Á¦°øÇÕ´Ï´Ù.

¡¤ Fast Fourier Transform and Inverse Fast Fourier Transform (FFT/IFFT)
¡¤ Short-time Fourier transform (STFT)
¡¤ Hilbert Transform
¡¤ Image Profiling: Simple Line Profiling: Horizontal,Vertical, Straight Line
¡¤ 2D FFT/2D IFFT


Filtering
FilteringÀ» À§ÇÑ ¾Æ·¡ÀÇ ±â´ÉÀ» Áö¿øÇÕ´Ï´Ù.

¡¤ FFT Filter: Low Pass, High Pass, Band Pass, Band Block, Noise Threshold
¡¤ IIR Filter Design : Butterworth, Chebyshev Type I, Chebyshev Typell, Elliptic
¡¤ 2D FFT Filter


Smoothing
OriginÀº data smoothingÀ» À§ÇÑ ´Ù¼öÀÇ ¸Þ¼Òµå¸¦ Á¦°øÇÕ´Ï´Ù.

¡¤ Savitzky-Golay
¡¤ Adjacent-Averaging
¡¤ FFT Filter
¡¤ Percentile Filter
¡¤ Lowess and Loess

ANOVA & Survival Analysis ±â´É (ÁÖ¿ä¸Þ´º ¼±Åð¡±â)

ANOVA
OriginÀº Á¾¼Ó º¯¼öÀÇ º¯µ¿·®À» °Ë»çÇϱâ À§ÇÑ 4°³ÀÇ ANOVA ÅøÀ» Á¦°øÇÕ´Ï´Ù:

¡¤ One-Way ANOVA
¡¤ One-Way ANOVA
¡¤ One-Way Repeated-Measures ANOVA
¡¤ Two-Way Repeated-Measures ANOVA


Survival Analysis
Æø³Ð°Ô »ç¿ëµÇ´Â 3°¡ÁöÀÇ »ýÁ¸ ºÐ¼® ±â´ÉÀÔ´Ï´Ù.

¡¤ Kaplan-Meier product-limit estimator, with three equality test methods
– Log-rank
– Breslow
– Tarone-Ware
¡¤ Cox Proportional Hazards Model
¡¤ Weibull Fit Model

Wavelet Analysis ±â´É (ÁÖ¿ä¸Þ´º ¼±Åð¡±â)

¡¤Wavelet TransformÀº data ¾ÐÃà, ½ÅÈ£ smoothing, noise Á¦°Å,À̹ÌÁö ºÐ¼® µîÀ» Æ÷ÇÔÇÑ ¸¹Àº ºÎºÐÀÇ ÀÀ¿ë¿¡ ÀÌ¿ëµË´Ï´Ù.

¡¤Wavelet ºÐ¼® ÅøÀº ¾Æ·¡ »çÇ×À» °¡´ÉÇÏ°Ô ÇÕ´Ï´Ù:


¡¤ Continuous Wavelet Transform
¡¤ Discrete Wavelet Transform (Decomposition)
¡¤ Inverse Discrete Wavelet Transform (Reconstruction)
¡¤ Multi-Scale Wavelet Decomposition
¡¤ Smoothing
¡¤ 2D Wavelet Decomposition
¡¤ 2D Wavelet Reconstruction
¡¤ Noise Removal

Rise Time Gadget ±â´É (ÁÖ¿ä¸Þ´º ¼±Åð¡±â)

¡¤»ó½Â/ÇÏ°­ ŸÀ̹ÖÀ» ã±â À§ÇÑ ¼¼ °¡Áö method°¡ Áö¿øµË´Ï´Ù:

- Linear search
- Histogram
- Largest triangle
¡¤ ROIÀÇ À̵¿À̳ª »çÀÌÁî ÀçÁ¶Á¤¿¡ ÀÇÇÑ Æ¯Á¤ÇÑ ½ÅÈ£ÀÇ ¹üÀ§ÀÇ ¼±ÅÃ
¡¤ ´Ù¼öÀÇ plotÀ» °¡Áö°í ÀÖ´Â ±×·¡ÇÁ layer·ÎºÎÅÍ ¿øÇÏ´Â data plotÀ» ½±°Ô ¼±ÅÃ
¡¤ ROI control ³»¿¡¼­ low/high ·¹º§À» Ç¥½Ã
¡¤ ROI À§¿¡ »ó½Â/ÇÏ°­ ŸÀְ̹ú »ó½Â/ÇÏ°­ ¹üÀ§¸¦ Ç¥½Ã


¡¤DecimationÀº ÀÔ·Â ½ÃÄö½º¾È¿¡¼­ elementÀÇ ¼ö¸¦ ÁÙÀ̴µ¥ »ç¿ëµË´Ï´Ù.

¡¤¸ðµç N »ùÇõéÀº Çϳª·Î À¶ÇյǸç, ¾Æ·¡¿Í °°Àº µÎ°¡Áö filter°¡ »ç¿ë °¡´ÉÇÕ´Ï´Ù:


¡¤ Moving Average
¡¤ Finite Impulse Response (FIR)

Coherence & Envelope Curves ±â´É (ÁÖ¿ä¸Þ´º ¼±Åð¡±â)

Coherence
Coherence-µÎ °³ÀÇ ½ÅÈ£ÀÇ 1Â÷ Á¾¼Ó Á¤µµ-´Â ½ÅÈ£µéÀÌ ºñ½ÁÇÑ ÁÖÆļö ¼ººÐÀ» Æ÷ÇÔÇÏ´õ¶óµµ Å×½ºÆ®¿¡ ÀÇÇØ Æò°¡µË´Ï´Ù.


Envelope Curves
Envelope curveÀº ÁÖ±âÀûÀÎ ½ÅÈ£ÀÇ crest ¹× trough¸¦ ã¾Æ³À´Ï´Ù.

¡¤ Choose upper, lower or both
¡¤ Smoothing option during envelope detection


Cluster
¡¤Cluster GadgetÀº ±×·¡ÇÁ»óÀÇ ROI¿¡¼­ °£´ÜÇÑ Åë°èÀÇ ÆíÇÑ ¼öÇàÀ» °¡´ÉÇÏ°Ô ÇÕ´Ï´Ù.
¡¤GadgetÀº points¸¦ ¾ø¾Ö°Å³ª maskÇÏ´Â µî°ú °°ÀÌ data point¸¦ ½±°Ô ¼öÁ¤ÇÒ ¼ö ÀÖ°Ô ÇÕ´Ï´Ù.
¡¤ROI object°¡ À̵¿Çϰųª »çÀÌÁî Á¶Á¤ÀÌ ÀÌ·ç¾îÁú °æ¿ì Åë°è °á°ú´Â Áï°¢ÀûÀ¸·Î ¾÷µ¥ÀÌÆ® µË´Ï´Ù.


Integrate, Differentiate, and Interpolate
OriginÀº »ç¿ëÀÚµ¥ÀÌÅÍÀÇ integration, differentiation, interpolationÀÇ ÀϹÝÀûÀÎ taskÀ» À§ÇÑ ¼¼ °¡Áö gadgetÀ» Á¦°øÇÕ´Ï´Ù.


OriginÀÇ Peak Analyzer´Â peak°ú baseline ŽÁö ¹× ºÐ¼®À» À§ÇÑ °­·ÂÇÏ°í ´ÙÀç´Ù´ÉÇÑ Åø ÀÔ´Ï´Ù.

¡¤Peak Analyzer wizard´Â fitting ÇÁ·Î¼¼½º Àü¹ÝÀ» °¡À̵å
¡¤BaselineÀ» ã°Å³ª ó¸®, peakÀ» ã°Å³ª ¼±ÅÃ, ¿©·¯°³ÀÇ peakÀ» ÅëÇÕ
¡¤FWHM, centroid, area, peak index, y-max µî peak propertiesÀ» Æ÷ÇÔÇÏ´Â ¿öÅ©½ÃÆ®¸¦ »ý¼º
¡¤Ç¥¿Í °ü·ÃÀÖ´Â ±×·¡ÇÁ¸¦ ÀÌ¿ëÇØ µðÅ×ÀÏÇÑ ·¹Æ÷Æ®½ÃÆ®¸¦ »ý¼º


Peak Fit Control
Peak fittingÀ» À§ÇØ Peak AnalyzerÀ» »ç¿ëÇÒ ¶§´Â »ç¿ëÀÚÀÇ ºÐ¼®À» customizeÇÒ ¼ö ÀÖ´Â ¿©·¯ ¿É¼ÇÀÌ °¡´ÉÇÕ´Ï´Ù.

¡¤±×·¡ÇÁ¿¡¼­ Á÷Á¢ÀûÀ¸·Î peakÀÇ À§Ä¡¸¦ Ãß°¡, »èÁ¦, ¼öÁ¤
¡¤¸ðµç peak¿¡ °°Àº fitting functionÀ» ºÎ¿©, °¢°¢ÀÇ peak ¶Ç´Â ±×·ì º° peakµé¿¡ ¼­·Î ´Ù¸¥ fitting ±â´ÉÀ» »ç¿ë
¡¤Peak parameterÀ» º¯ÇÔ¾ø´Â °ªÀ¸·Î °íÁ¤
¡¤Peak µé Àüü¿¡ parameterÀ» °øÀ¯
¡¤Fitting parameter¿¡ bounds/linear Á¦¾àÀ» Àû¿ë
¡¤Fit curveÀÇ residualsÀ̳ª 2Â÷ µµÇÔ¼ö¸¦ ±×·¡ÇÁÈ­
¡¤Gauss, Voight, Lorentz µî°ú °°Àº 20°³°¡ ³Ñ´Â ³»ÀåµÈ peak functionÀ» »ç¿ëÇϰųª »ç¿ëÀÚ¸¸ÀÇ functionÀ» »ý¼º


Fitting a Baseline
OriginPro´Â peakÀ» fitting ÇÒ »Ó¸¸ ¾Æ´Ï¶ó baseline data¿¡ functionÀ» fitting ÇÒ ¼ö ÀÖ½À´Ï´Ù.

¡¤Baseline anchor pointÀ» ¼±ÅÃÇϰųª, OriginÀÌ Á÷Á¢ baseline anchor point¸¦ ã°Ô ÇÔ
¡¤¹Ì¸® Á¤ÀÇµÈ fitting functionÀ» ÀÌ¿ëÇÏ¿© baseline anchor point¸¦ fitting Çϰųª »ç¿ëÀÚ¸¸ÀÇ functionÀ» »ý¼º
¡¤Baseline anchor point¸¦ °íÁ¤Çϰųª peak fit¿¡ µû¶ó Baseline anchor point¸¦ ´Þ¸® ÇÒ ¼ö ÀÖÀ½
¡¤Peak µé Àüü¿¡ parameterÀ» °øÀ¯
¡¤Peak fitting¿¡ ¾Õ¼­ baselineÀ» »©³¿


Quick Peaks Gadget
Quick Peaks GadgetÀº ROI ³»¿¡¼­ ±×·¡ÇÁÈ­ µÈ dataÀÇ peak ºÐ¼®À» ¼öÇàÇϱâ À§ÇØ °£´ÜÇÏ°í ºü¸¥ ¹æ¹ýÀ» Á¦°øÇÕ´Ï´Ù.

¡¤Positive/negative peakÀÇ Á¤È®ÇÑ À§Ä¡¸¦ ã¾Æ³¿
¡¤BaselineÀ» Á¤ÀÇ Çϰųª spectrum¿¡¼­ »©³¿
¡¤Base marker ³»¿¡¼­ peak¸¦ ÅëÇÕ
¡¤ÀÚÁÖ »ç¿ëµÇ´Â functionÀ» ÀÌ¿ëÇÏ¿© peak fittingÀ» ¼öÇà
¡¤±×·¡ÇÁ layer/ÆäÀÌÁöÀÇ ¸ðµç curve¿¡ ´ëÇÑ ºÐ¼®ÀÇ ¹Ýº¹
¡¤°¢°¢ÀÇ peakÀ¸·ÎºÎÅÍÀÇ parameter¸¦ ÀÌ¿ëÇÏ¿© ·¹Æ÷Æ® ½ÃÆ®¸¦ »ý¼º


Batch Peak Fitting
OriginPro´Â batch peak fittingÀ» ÅëÇØ °¢°¢ ´Ù¼öÀÇ peakµéÀ» Æ÷ÇÔÇÑ ´Ù¼öÀÇ datasetÀ» ´Ù·ê ¼ö ÀÖ´Ù.

¡¤¹Ì¸® Á¤ÀÇµÈ theme, ºÐ¼® template, ½ºÅ©¸³Æ®¸¦ ÀÌ¿ëÇÏ¿© batch peak fittingÀ» ¼öÇà
¡¤°¢°¢ÀÇ dataset¿¡¼­ °¢°¢ÀÇ peakÀ» À§ÇÑ peak parameter¿¡ ´ëÇÑ custom ·¹Æ÷Æ®¸¦ »êÃâ

Import, Query, Connect ±â´É (ÁÖ¿ä¸Þ´º ¼±Åð¡±â)

¡¤ ASCII, CSV, Excel ¶Ç´Â Á¦ 3ÀÇ µ¥ÀÌÅÍ ÆÄÀÏ·Î ºÎÅÍ µ¥ÀÌÅ͸¦ import ÇÕ´Ï´Ù.
¡¤ µ¥ÀÌÅͺ£À̽º query ¹× LabVIEW¢â, MATLAB¢ç, ¶Ç´Â Excel°ú °°Àº »ç¿ëÀÚÀÇ ÀÀ¿ë ÇÁ·Î±×·¥À¸·ÎºÎÅÍ OriginÀ¸·Î µ¥ÀÌÅÍ ¹× ¸í·É¾î¸¦ º¸³¾ ¼ö ÀÖ½À´Ï´Ù.


Import, Query, Connect °úÁ¤ ±¸¼ºµµ

Graph, Explore ±â´É (ÁÖ¿ä¸Þ´º ¼±Åð¡±â)

¡¤ ½±°Ô °íÇ°ÁúÀÇ ±×·¡ÇÁ¸¦ ¸¸µé°Å³ª customize ÇÒ ¼ö ÀÖÀ¸¸ç, customize µÈ ±×·¡ÇÁ¸¦ Àç»ç¿ë ÇÒ ¼ö ÀÖ´Â template À̳ª theme ·Î ÀúÀå °¡´ÉÇÕ´Ï´Ù.
¡¤ Layer ¾È¿¡¼­ easy zoomÀÌ ³ª scroll ±â´ÉÀ» ÀÌ¿ëÇÏ¿© µ¥ÀÌÅ͸¦ ±×·¡ÇÁÈ­ ÈÄ ºÐ¼®ÇÒ ¼ö ÀÖ½À´Ï´Ù.


Graph, Explore °úÁ¤ ±¸¼ºµµ

Reduce, Summarize, Analyze ±â´É (ÁÖ¿ä¸Þ´º ¼±Åð¡±â)

¡¤ µ¥ÀÌÅ͸¦ ÁÙÀ̰ųª, ¿ä¾àÇÏ¿© ºÐ¼® ÇÒ ¼ö ÀÖ½À´Ï´Ù. GadgetÀ» »ç¿ëÇÏ¿© ƯÁ¤ ¿µ¿ªÀÇ µ¥ÀÌÅ͸¦ ±×·¡ÇÁÈ­ÇÏ¿© ºÐ¼® ÇÒ ¼öµµ ÀÖ½À´Ï´Ù.


Reduce, Summarize, Analyze °úÁ¤ ±¸¼ºµµ



Publish, Present, Report±â´É (ÁÖ¿ä¸Þ´º ¼±Åð¡±â)

¡¤ Origin ÇÁ·Î±×·¥ »ó¿¡¼­ ·¹Æ÷Æ®¸¦ ¸¸µé°Å³ª Word ³ª Power Point ¿¡ ±×·¡ÇÁ¸¦ ³ÖÀ» ¼ö ÀÖ½À´Ï´Ù.


Publish, Present, Report °úÁ¤ ±¸¼ºµµ


¡¤ OriginÀº line, symbol, column, bar, pie, stock,statistical, contour, area À» Æ÷ÇÔÇÑ ¸¹Àº ¼öÀÇ 2D ±×·¡ÇÁ template À» Á¦°øÇϸç, ternary, polar, vector, windrose, waterfall ¸¦ Æ÷ÇÔÇÑ Æ¯È­µÈ plot ŸÀÔµµ Á¦°øÇÕ´Ï´Ù.
¡¤ Origin ±×·¡ÇÁ´Â ÀÓÀÇÀÇ ¹æÇâÀ¸·Î ¹è¿­µÉ ¼ö ÀÖ´Â ´Ù¼öÀÇ XYÃà ½Ö(layer)À» Æ÷ÇÔÇÒ ¼ö ÀÖÀ¸¸ç, layer Àüü¿¡ °ÉÃÄ ¿¬°áµÈ ÃàÀ» Áö¿øÇÕ´Ï´Ù. Offsets À» Æ÷ÇÔÇÑ ´Ù¼öÀÇ X ¶Ç´ÂY ÃàÀ» Áö¿øÇÕ´Ï´Ù.
¡¤ ¸ðµç ±×·¡ÇÁ ¿ä¼Ò´Â ½±°Ô ±×¸®°í ±¤¹üÀ§ÇÏ°Ô customizeµÉ ¼ö ÀÖÀ¸¸ç, »ö»ó Åõ¸íµµ¿Í º¯È­µµ¸¦ Æ÷ÇÔÇÕ´Ï´Ù. Customize µÈ ±×·¡ÇÁ¸¦ Àç»ç¿ë ÇÒ ¼ö ÀÖ´Â template À̳ª theme ·Î ÀúÀåµµ °¡´ÉÇÕ´Ï´Ù.

  • Overlapping Layers with Linked X Axis

    A multi-Y (3Y-YY) graph with three overlapping layers sharing a common X axis. Note that the Y axis line and label color matches the data plot.

  • Marginal Distribution Curve Plot

    Graphs in Origin are highly customizable. This tutorial will show how to customize the marginal histogram to display distribution curves instead of columns.

  • Line Plot with Above/Below Fill Color

    This multi-layer graph plots daily temperature fluctuations for New York City, over several months in 2013. Origin's Fill Area Under Curve feature is used to highlight how daily temps fluctuated in relation to record and average highs and lows.

  • Box Chart with Position by Variable

    This box chart plots precipitation for Seattle, Washington, USA during September of 2013. Both box position and the X axis tick locations are controlled by the "Date" variable.

  • Grouped Stacked Column

    In Origin, multiple datasets can be plotted as a stacked column graph. Usually these datasets are grouped together by default. In addition, subgrouping is possible for stacked column graphs such as the one

  • Stacked Histogram with Weibull Curve Overlay

    This series of stacked Histogram plots displays the distribution of student grades per quarter. Note: The data used for this graph is not scientific.

  • Grouped Box Chart with Color-Indexed Data Points

    Origin can be used to create grouped box plots from raw data with data points and distribution curves.

  • Grouped Box Chart

    The X axis is set as a table using a Tick Label Table to show relevant grouping information. Additionally, gaps has been enabled between subgroups to separate them. This is accomplished by checking the Gap Between Subgroups/Subsets box in the Table Layout branch in the Axis Dialog.

  • Grouped Line Plot with Log Scale

    This series of stacked Histogram plots displays the distribution of student grades per quarter. Note: The data used for this graph is not scientific.

  • Multiple Axis Breaks

    Origin supports multiple break on an axis as shown below. The number of breaks and the break positions can be customized in the Axis dialog box.

  • Scatter Matrix

    A scatter matrix is a pair-wise scatter plot of several variables presented in a matrix format. It can be used to determine whether the variables are correlated and whether the correlation is positive or negative.

  • Stacked Polar Column

    The basic graph type here is a "Theta (X) r(Y)" polar plot, meaning that the angular data are contained in a single X column and the radius data are contained in a single Y column. In this graph, after making a standard polar plot, we open the Plot Details dialog box and change the Plot Type to Column/Bar to make a polar column plot.

ÁÖ¿ä¸Þ´º ¼±Åð¡±â


¡¤ OriginÀº OpenGLÀ» »ç¿ëÇÏ¿© ¸¸µé¾îÁø °í¼º´ÉÀÇ 3D ±×·¡ÇÁ¿Í ÆĶó¹ÌÅͱâ´ÉÀÇ plotÀ» Á¦°øÇÕ´Ï´Ù.
¡¤ wireframe, colormap surface with contour projection, scatter, bar, ribbon, wall °ú °°Àº ¸¹Àº ³»ÀåµÈ ÅÛÇø´À» Á¦°øÇÕ´Ï´Ù.
¡¤ ´Ù¼öÀÇ µ¥ÀÌÅͼµéÀÌ °°Àº ·¹À̾ ±×·¡ÇÁ·Î ¸¸µé¾î Áú ¼ö ÀÖÀ¸¸ç, °¢°¢ÀÇ µ¥ÀÌÅͼÂÀº °³º°ÀûÀ¸·Î ½ºÅà ¶Ç´Â flatten ÇÒ ¼ö ÀÖ½À´Ï´Ù.
¡¤ ¸¹Àº Á¾·ùÀÇ plot¿¡¼­ error bar°¡ Áö¿øµÇ¸ç, º¯°æµÈ ºÎºÐÀº ´ÙÀ½¿¡ Àç»ç¿ë ÇÒ ¼ö ÀÖµµ·Ï ÅÛÇø´À̳ª Å׸¶·Î ÀúÀåÇÒ ¼ö ÀÖ½À´Ï´Ù.

  • Bar Plot with Transparency

    This is a matrix-based 3D bar graph with Z values as color map. There are two kinds of 3D bar graph in Origin, 3D XYY Bars from worksheet and 3D Bars from a Z matrix.

  • Waterfall with Y-Color Mapping

    3D waterfall with with Y color mapping is an OpenGL-based 3D graph. The Y values in each column define an XY face with white fill color. All XY faces are arranged in the Z direction by the values in the specified label row. Color mapping is applied to the lines in Y direction.

  • Bar Plot with Error Bars

    This graph shows a 3D bar plot with error bars. The 3D bars display the seasonal mean temperature during a period of time, and the error bars indicate the standard deviation. Z Colormap is used in the bar plot.

  • Scatter Plot with Size and Color Mapping

    This tutorial will demonstrate how to create a 3D scatter plot with Z colormap from XYZ data in a worksheet, set scatter size proportional to the data in a specified column, and create projections of the data on all three axis planes.

  • XYY Wall Plot

    This 3D XYY Wall graph from Origin profiles the optical response of a YBCO superconductor. Grid lines are displayed in each plane to enhance the graph¡¯s readability. To optimize the final presentation, this 3D graph has been rotated and tilted using Origin¡¯s 3D toolbar.

ÁÖ¿ä¸Þ´º ¼±Åð¡±â

Descriptive Statistics ±â´É (ÁÖ¿ä¸Þ´º ¼±Åð¡±â)

¡¤OriginÀº »ç¿ëÀÚ°¡ ¹Ýº¹µÇ°Å³ª °³º°ÀûÀÎ µ¥ÀÌÅ͸¦ ¿ä¾àÇÒ ¼ö ÀÖµµ·Ï µ½´Â ÅøÀ» Á¦°øÇÕ´Ï´Ù:
¡¤Áö¿øµÇ´Â Å×½ºÆ® ±â´Éµé :


¡¤Statistics on Columns
¡¤Statistics on Rows
¡¤Frequency Counts
¡¤2D Frequency Count/Binning
¡¤Discrete Frequency
¡¤Normality Test
¡¤Distribution Fit [PRO ±â´É]
¡¤Correlation Coefficient [PRO ±â´É]


Parametric Hypothesis Tests ±â´É (ÁÖ¿ä¸Þ´º ¼±Åð¡±â)

¡¤Æò±ÕÄ¡¿Í º¯µ¿·® °è»êÀ» À§ÇÑ 7°³ÀÇ °¡¼³ °ËÁõ Å×½ºÆ®¸¦ Áö¿øÇÕ´Ï´Ù.
¡¤Áö¿øµÇ´Â Å×½ºÆ® ¸ñ·Ïµé:


¡¤One-Sample t-Test
¡¤Two-Sample t-Test
¡¤Pair-Sample t-Test
¡¤Two-Sample t-Test on Rows [PRO ±â´É]
¡¤Pair-Sample t-Test on Rows [PRO ±â´É]
¡¤Two-Sample Test for Variance [PRO ±â´É]
¡¤One-Sample Test for Variance [PRO ±â´É]
¡¤Two-Sample Proportion Test [PRO ±â´É]


¡¤Digitizer Gadget´Â photocopy, fax ¶Ç´Â scan ÀÛ¾÷µÈ À̹ÌÁö¿Í °°Àº ±×·¡ÇÁ À̹ÌÁö¿¡¼­ µ¥ÀÌÅ͸¦ extract ÇÒ ¼ö ÀÖÀ¸¸ç,
½±°Ô ±×·¡ÇÁÃàÀ» À§ÇÑ ÁÂÇ¥°ªÀ» Á¤ÀÇÇÏ°í, Origin ¿öÅ©½ÃÆ®¿Í ±×·¡ÇÁ¸¦ »ý¼ºÇϱâ À§ÇØ ´Ù¼öÀÇ data curve¸¦ µðÁöÅÐÈ­ÇÕ´Ï´Ù.

¡¤gadgetÀ» »ç¿ëÇÏ¿© ¾Æ·¡ÀÇ ÀÛ¾÷ÀÌ °¡´ÉÇÕ´Ï´Ù:


¡¤ »ç¿ëÇϱ⠽¬¿î GUI¸¦ »ç¿ëÇÏ¿© À̹ÌÁö¸¦ µðÁöÅÐÈ­
¡¤ À̹ÌÁö¸¦ ȸÀü
¡¤ ¿òÁ÷ÀÏ ¼ö ÀÖ´Â lineÀ» »ç¿ëÇÏ¿© X, Y Ãà ÁÂÇ¥¸¦ Á¤ÀÇ
¡¤ ±×·¡ÇÁÃà ÁÂÇ¥ÀÇ Á¤È®¼ºÀ» üũÇϱâ À§ÇÏ¿© ¼öÁ÷ ¹× ¼öÆòÀÇ ÂüÁ¶¼±À» »ç¿ë
¡¤ ´Ù¼öÀÇ data setÀ» »ý¼ºÇÏ¸ç ´Ù¼öÀÇ trace¸¦ µðÁöÅÐÈ­
¡¤ data points¿¡ ´ëÇÑ labelÀ» Ãß°¡

Data Processing ±â´É (ÁÖ¿ä¸Þ´º ¼±Åð¡±â)

¡¤Organizing Your Data
OriginÀº »ç¿ëÀÚÀÇ µ¥ÀÌÅ͸¦ Á¶Á÷ÇÏ´Â µ¥ ½±°í, À¯¿¬Çϸç, °èÃþÀûÀÎÁ¢±Ù¹ýÀ» Á¦°øÇÕ´Ï´Ù.

¡¤Áö¿øµÇ´Â ±â´É


¡¤ Origin Project file(OPJ)´Â µ¥ÀÌÅÍ, note,±×·¡ÇÁ ¹× ºÐ¼® °á°ú¸¦ Æú´õ ±¸Á¶¸¦ À§ÇÑ À¯¿¬ÇÑ °èÃþ ±¸Á¶¸¦ ÅëÇØ ÇϳªÀÇ document¿¡ ÅëÇÕ
¡¤ Project Explorer âÀº ÇÁ·ÎÁ§Æ® ¾È¿¡¼­ ½¬¿î ³×ºñ°ÔÀ̼ÇÀ» °¡´ÉÇÏ°Ô ÇÔ
¡¤ Workbooks, Matrices support multiple sheets, columns/objects ¿Í Ãß°¡ÀûÀÎ metadata »ç¿ëÀ» À§ÇØ organizer panel »ç¿ë


¡¤Data Exploration
OriginÀº °Ë»ç ¹× »ç¿ëÀÚ°¡ °¡Áö°í ÀÖ´Â ±×·¡ÇÈ µ¥ÀÌÅÍ¿ÍÀÇ »óÈ£ ÀÛ¿ëÀ» À§ÇØ »ç¿ëÇϱ⠽¬¿î ÅøÀ» Á¦°øÇÕ´Ï´Ù.

Zoom and Pan
¡¤ ±×·¡ÇÁ ºÎºÐÀÇ È®´ë
¡¤ ¿øÇÏ´Â X/Y scaleÀ» ½±°Ô zoom ¶Ç´Â pan
¡¤ ZoomµÈ ºÎºÐ ¸¸À» °³º°ÀûÀÎ ±×·¡ÇÁ·Î »ý¼º


Examine Data Points and Related Data
¡¤ »ç¿ëÀÚÀÇ µ¥ÀÌÅ͸¦ °Ë»çÇϱâ À§ÇØ Data Reader³ª Screen Reader ÅøÀ» »ç¿ë
¡¤ Data Info ÅøÀ» ÀÌ¿ëÇÏ¿© data point¸¦ Àаųª ¶óº§¸µ, data worksheetÀÇ ´Ù¸¥columnÀ¸·ÎºÎÅÍ °¡Á®¿Â °ü·ÃµÈ Á¤º¸ Ç¥½Ã
¡¤ Masking ÅøÀ» ÀÌ¿ëÇÏ¿© ºÐ¼®À» ÅëÇØ Æ¯Á¤ data point¸¦ Á¦¿Ü °¡´É
¡¤ Vertical Cursor Gadget¸¦ »ç¿ëÇÏ¿© stackµÈ ±×·¡ÇÁ»óÀÇ Á¤º¸ Ž»öÇϱâ

Working with Excel ±â´É (ÁÖ¿ä¸Þ´º ¼±Åð¡±â)

OriginÀº Excel data¿¡ ½¬¿î Á¢±Ù ±âȸ¸¦ Á¦°øÇϸç, ¾Æ·¡ÀÇ ±â´ÉµéÀ» Áö¿øÇÕ´Ï´Ù.

¡¤ Origin¿¡¼­ Excel·Î ¿Ïº®ÇÑ Á¤È®¼ºÀ» º¸ÀåÇϸç data¸¦ copy-paste
¡¤ Cell Æ÷¸ÅÆÃÀ» À¯ÁöÇÏ°í Çì´õ ºÎºÐÀ» ¸í½ÃÇϸ鼭 Excel ÆÄÀÏÀ» Origin ¿öÅ©½ÃÆ®·Î import
¡¤ Origin »ó¿¡¼­ Excel ¿öÅ©ºÏÀ» ¹Ù·Î ¿­±â
¡¤ Origin Project(OPJ)¿Í °ü·ÃµÈ Excel ÆÄÀÏÀÇ ½¬¿î °øÀ¯¸¦ À§ÇØ, Origin¿¡¼­ ¿­¾îÁø Excel workbookÀ» OPJ ÆÄÀÏ°ú °ü·ÃµÈ °æ·Î¿Í ÇÔ²² ¼±ÅÃÀûÀ¸·Î ÀúÀå


LabTalk
LabTalk´Â Origin¿¡¼­ ÆÄ»ýµÈ ½ºÅ©¸³Æ®¿ë ¾ð¾î ÀÔ´Ï´Ù. µ¥ÀÌÅÍ Á¶ÀÛ ¹× °ú¾÷ÀÇ ÀÚµ¿È­¿Í °°Àº °£´ÜÇÑ ÀÛ¾÷À» À§ÇØ, LabTalk´Â ÁÁÀº ½ÃÀÛ Á¡ÀÌ µË´Ï´Ù.
»ç¿ëÀÚÀÇ Æ¯Á¤ÇÑ ÇÊ¿ä¿¡ ÀÇÇÑ ½ºÅ©¸³Æ®¸¦ »ý¼ºÇϱâ À§ÇÏ¿© Å©±â°¡ Å« X-Function Ä÷º¼ÇÀ» Æ÷ÇÔÇØ ½ºÅ©¸³Æ® ¸í·É¾î³ª functionÀÇ ´Ùä·Î¿î set¿¡
Á¢¼ÓÇÒ ¼ö ÀÖ½À´Ï´Ù. Custom ½ºÅ©¸³Æ® ÄÚµå´Â ½±°Ô ±×·¡ÇÁ ¾È ¹öÆ°, ¿öÅ©½ÃÆ®, »õ·Î¿î Åø¹Ù ¹öÆ°,custom ¸Þ´º ¾ÆÀÌÅÛ¿¡ ºÎ¿©µÉ ¼ö ÀÖ½À´Ï´Ù.


Origin C (OriginÀº »ç¿ëÀÚÀÇ Origin C project¸¦ À§ÇÑ Code Builder¶ó ºÒ¸®´Â ÃÖ÷´Ü ½Ã½ºÅÛÀÇ ÅëÇÕµÈ °³¹ß ȯ°æÀ» Á¦°øÇÕ´Ï´Ù.)
Origin C´Â ANSI C¸¦ ±âº»À¸·Î ÇÏ°í C++¿Í C# feature¸¦ Áö¿øÀ» ÇÏ´Â ÇÁ·Î±×·¡¹Ö ¾ð¾îÀÔ´Ï´Ù.

¡¤ ¿öÅ©½ÃÆ®, ¸ÅÆ®¸¯½º¿Í ±×·¡ÇÁ¿Í °°Àº ¸ðµç Origin objectÀÇ property »ý¼º ¹× Á¢¼Ó
¡¤ µ¥ÀÌÅÍ ºÐ¼® ¹× ±×·¡ÇÁÈ­ °ú¾÷ÀÇ ÀÚµ¿È­
¡¤ ¿ÜºÎ dynamic link library(DLL)¿¡ ¸µÅ©
¡¤ Origin¿¡ Æ÷ÇÔµÈ NAG library function°ú °°Àº C/Fortran library ·çƾÀ̳ª ´Ù¸¥ °ø°øÀÇ µµ¸ÞÀÎ library¸¦ ºÒ·¯¿È


Python
´ç½ÅÀÌ ¿À¸®Áø¿¡¿¡¼­ ÆÄÀ̽ãÀ» ½ÇÇàÇϰųª ÆÄÀ̽㿡¼­ ¿À¸®Áø¿¡ ¾×¼¼½º ÇÒ ¼ö ÀÖµµ·Ï PyOrigin ¸ðµâÀ» ÀÌ¿ë ÇÒ ¼ö ÀÖÀ¸¸ç ¿À¸®Áø¿¡ ÆÄÀ̽ãÀ» »ç¿ëÇÒ ¼ö Àִ ȯ°æÀ» Á¦°øÇÕ´Ï´Ù.

Handling Repetitive Tasks ±â´É (ÁÖ¿ä¸Þ´º ¼±Åð¡±â)

Recalculation of Analysis Results
OriginÀº ´ëºÎºÐÀÇ ºÐ¼® ¹× data ÇÁ·Î¼¼½Ì ÀÛ¾÷À¸·Î ºÎÅÍ ³ª¿Â °á°úÀÇ ÀÚµ¿ ¶Ç´Â ¼öµ¿ÀÇ Àç°è»êÀÌ °¡´ÉÇÕ´Ï´Ù.
À̸¦ ÅëÇØ data¶Ç´Â ºÐ¼® parameter°¡ º¯µ¿µÇ¾úÀ» ¶§ ½±°Ô ¾÷µ¥ÀÌÆ®°¡ °¡´ÉÇϸç, ¸ðµç ÀýÂ÷¸¦ óÀ½ºÎÅÍ ´Ù½Ã ¹â¾Æ¾ß ÇÏ´Â
¹ø°Å·Î¿òÀ» ¾ø¾ÖÁÝ´Ï´Ù. ÇÑ °¡Áö ÀÛ¾÷ÀÇ »êÃâ¹°Àº ´Ù¸¥ ÀÛ¾÷ÀÇ ÀԷ¹°·Î »ç¿ëµÉ ¼ö ÀÖÀ¸¸ç, ÀÛ¾÷µéÀÇ Ã¼Àΰú °ü·ÃµÈ °á°úµéÀÌ ¾÷µ¥ÀÌÆ® µÉ¼ö ÀÖ°Ô ÇÕ´Ï´Ù.


Batch Plotting
Origin ¹èÄ¡ Ç÷ÔÀ» Áö¿øÇÕ´Ï´Ù. ºñ½ÁÇÑ µ¥ÀÌÅÍ°¡ ¿©·¯ ÅëÇÕ ¹®¼­, ¿öÅ© ½ÃÆ® ¶Ç´Â Ä÷³¿¡ÀÖ´Â °æ¿ì¿¡,
´ç½ÅÀº ÇϳªÀDZ׷¡ÇÁ¸¦ ¸¸µç ´ÙÀ½ ´Ù¸¥ µ¥ÀÌÅ͸¦ »ç¿ëÇÏ¿© ÇØ´ç ±×·¡ÇÁ¸¦ º¹Á¦ ÇÒ ¼ö ÀÖ½À´Ï´Ù.


Batch Analysis
¿À¸®ÁøÀº ¹èÄ¡ ºÐ¼®À» ¼öÇàÇÏ´Â ´Ù¾çÇÑ ¹æ¹ýµéÀ» Á¦°øÇÕ´Ï´Ù.

¡¤ Repeat Analysis on All Plots in Graph or All Columns in Worksheet
¡¤ Copy & Paste Fitting Operation to other Plots
¡¤ Copy & Paste Formula between Columns
¡¤ Use Gadgets for Analyzing Multiple Curves

Custom Reports ±â´É (ÁÖ¿ä¸Þ´º ¼±Åð¡±â)

¹Ýº¹ÀûÀÎ ºÐ¼®À» ¼öÇàÇϰųª ¾î¶°ÇÑ ÇÁ·Î±×·¹¹Ö ÀÛ¾÷ ¾øÀÌ custom ·¹Æ÷Æ®¸¦ ¸¸µé ¶§ OriginÀ» »ç¿ë ÇϽʽÿÀ.

OriginÀÇ »õ·Î¿î multi-sheet ¿öÅ©ºÏÀº »ç¿ëÀÚ°¡ cell ³»¿ë¹°ÀÇ ¿Ü°üÀ» Æ÷¸ËÇϰųª, cellÀ» mergeÇϰųª border³ª ´Ù¸¥ Æ÷¸ËÆà º¯°æÀ» Àû¿ëÇÒ ¼ö ÀÖ°Ô ÇÕ´Ï´Ù.
´õ ³ª¾Æ°¡, ¾î¶°ÇÑ ºÐ¼® °á°ú³ª Ã¥À̳ª ÇÁ·ÎÁ§Æ®¿¡ Æ÷ÇÔµÈ ±×·¡ÇÁ¿¡¼­ ³ª¿Â °á°ú°ªÀ» paste-link°¡ °¡´ÉÇÏ¿©, À̸¦ ÅëÇØ custom ·¹Æ÷Æ® ½ÃÆ®¸¦ ¸¸µé ¼ö ÀÖ½À´Ï´Ù.
ºÐ¼® °á°úÀÇ ÀÚµ¿ Àç°è»ê ±â´ÉÀ» ÀÌ¿ëÇÏ¿© »ç¿ëÀÚÀÇ custom ·¹Æ÷Æ® ½ÃÆ®´Â ¹Ýº¹µÇ´Â °ú¾÷À» À§ÇØ templateÀ¸·Î ¸¸µé¾î Áú ¼ö ÀÖ½À´Ï´Ù.

󸮵ÇÁö ¾ÊÀº data¸¦ importÇϸé custom report°¡ ÀÚµ¿À¸·Î ¾÷µ¥ÀÌÆ®µÇ´Â °ÍÀ» º¼ ¼ö ÀÖ½À´Ï´Ù.
·¹Æ÷Æ®°¡ »ý¼ºµÇ¸é PDF ÆÄÀÏÀ̳ª EPS³ª JPEG¿Í °°Àº ´ëÁßÀûÀÎ À̹ÌÁö Æ÷¸ËÀ» »ç¿ëÇÏ¿© À̹ÌÁö ÆÄÀÏ·Î export ÇÒ ¼ö ÀÖ½À´Ï´Ù.



OriginÀº fitting °úÁ¤ÀÇ ´Ù¾çÇÑ ÄÁÆ®·ÑÀ» Áö¿ø ÇÕ´Ï´Ù.

OriginÀº linear, polynomial, nonlinear curve fittingÀ» À§ÇÑ ´Ù¾çÇÑ ÅøÀ» Á¦°øÇÕ´Ï´Ù.
Fitting routineÀº fitÀÇ ÁÁÀº °á°ú¸¦ °áÁ¤Çϱâ À§ÇØ ÃֽŽÄÀÇ ¾Ë°í¸®µë ¹× Åë°èÀûÀÎ ¼ö·®À» Æ÷ÇÔÇÑ ·¹Æ÷Æ® ½ÃÆ®¸¦ »ç¿ëÇÕ´Ï´Ù.
Custom fitting ·¹Æ÷Æ®¸¦ »ý¼ºÇϸç, Àç fittingÀ» À§ÇÑ ºÐ¼® templateÀ¸·Î¼­ customizeµÈ templateÀ» ÀúÀåÇϸç, ´Ù¼öÀÇ datasetÀÇ Batch Fittingµµ Æ÷ÇÔÇÕ´Ï´Ù.



Fitting °úÁ¤À» À§ÇÑ ¾Æ·¡ÀÇ ÄÁÆ®·ÑÀ» Áö¿øÇÕ´Ï´Ù.

¡¤ À¯¿¬ÇÑ µ¥ÀÌÅÍ ÀÔ·Â
¡¤ ´Ù¾çÇÑ ³»ÀåµÈ functionÀ» ÀÌ¿ëÇÏ¿© fitting °¡´É
¡¤ Custom fitting functionÀ» Á¤ÀÇÇϱâ À§ÇÑ wizard
¡¤ Multi-dataset fitting modes: ´Ù¼öÀÇ datasetÀ» µ¶¸³ÀûÀ¸·Î ¶Ç´Â ¿¬°áµÈ fit mode¿¡¼­ fitting, °øÀ¯µÈ parameterÀ» ÀÌ¿ë global fitÀ» »ç¿ë
¡¤ Fit ·¹Æ÷Æ®¿¡ Åë°è ¹× parpmeter »êÃâ¹°À» fitting
¡¤ ÀÜÂ÷ ºÐ¼®(Residuals analysis)
¡¤ »õ·Î¿î X/Y °ªÀ» ¿øÇÏ´Â À§Ä¡¿¡ °è»êÇϱâ À§ÇØ fit curve¸¦ inerpolation
¡¤ µ¥ÀÌÅͳª parameter°¡ º¯È­ µÇ¾úÀ» ´ë ÀÚµ¿ÀûÀ¸·Î fitting °á°ú¸¦ ´Ù½Ã °è»ê
¡¤ »ç¿ëÀÚÀÇ ¼¼Æðú ¿øÇÏ´Â °á°úÀÇ Àç»ç¿ë, batch ÇÁ·Î¼¼½ÌÀ» À§ÇØ templateÀ» ºÐ¼®

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