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2023

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  1. out.xlsx

    Sheet1 Months Vol High Low Close Jan 1400 47 26 29 Feb 2400 28 20 26 Mar 1400 27 22 26 Apr 1200 27 18 20 May 2000 26 18 26 Jun 4000 41 22 29 Jul 4000 36 20 29 Aug 3880 36 23 30 Chart Title Jan Feb ......Sheet3 2023-02-27T02:28:21Z 16.0300 2023-02-24T01:59:48Z 2023-02-27T02:28:21Z...2023-02-27T02:28:21Z 2023-02-27T02:28:21Z 2023-02-27T02:28:21Z false 2023-02-27T02:28:21Z...

    docs.aspose.com/cells/es/python-net/create-volu...
  2. out.xlsx

    Sheet1 Months Vol High Low Close Jan 1400 47 26 29 Feb 2400 28 20 26 Mar 1400 27 22 26 Apr 1200 27 18 20 May 2000 26 18 26 Jun 4000 41 22 29 Jul 4000 36 20 29 Aug 3880 36 23 30 Chart Title Jan Feb ......Sheet3 2023-02-27T02:28:21Z 16.0300 2023-02-24T01:59:48Z 2023-02-27T02:28:21Z...2023-02-27T02:28:21Z 2023-02-27T02:28:21Z 2023-02-27T02:28:21Z false 2023-02-27T02:28:21Z...

    docs.aspose.com/cells/es/java/create-volume-hig...
  3. out.xlsx

    Sheet1 Months Vol High Low Close Jan 1400 47 26 29 Feb 2400 28 20 26 Mar 1400 27 22 26 Apr 1200 27 18 20 May 2000 26 18 26 Jun 4000 41 22 29 Jul 4000 36 20 29 Aug 3880 36 23 30 Chart Title Jan Feb ......Sheet3 2023-02-27T02:28:21Z 16.0300 2023-02-24T01:59:48Z 2023-02-27T02:28:21Z...2023-02-27T02:28:21Z 2023-02-27T02:28:21Z 2023-02-27T02:28:21Z false 2023-02-27T02:28:21Z...

    docs.aspose.com/cells/it/nodejs-cpp/create-volu...
  4. out.xlsx

    Sheet1 Months Vol High Low Close Jan 1400 47 26 29 Feb 2400 28 20 26 Mar 1400 27 22 26 Apr 1200 27 18 20 May 2000 26 18 26 Jun 4000 41 22 29 Jul 4000 36 20 29 Aug 3880 36 23 30 Chart Title Jan Feb ......Sheet3 2023-02-27T02:28:21Z 16.0300 2023-02-24T01:59:48Z 2023-02-27T02:28:21Z...2023-02-27T02:28:21Z 2023-02-27T02:28:21Z 2023-02-27T02:28:21Z false 2023-02-27T02:28:21Z...

    docs.aspose.com/cells/de/cpp/create-volume-high...
  5. out.xlsx

    Sheet1 Months Vol High Low Close Jan 1400 47 26 29 Feb 2400 28 20 26 Mar 1400 27 22 26 Apr 1200 27 18 20 May 2000 26 18 26 Jun 4000 41 22 29 Jul 4000 36 20 29 Aug 3880 36 23 30 Chart Title Jan Feb ......Sheet3 2023-02-27T02:28:21Z 16.0300 2023-02-24T01:59:48Z 2023-02-27T02:28:21Z...2023-02-27T02:28:21Z 2023-02-27T02:28:21Z 2023-02-27T02:28:21Z false 2023-02-27T02:28:21Z...

    docs.aspose.com/cells/fr/cpp/create-volume-high...
  6. out.xlsx

    Sheet1 Months Vol High Low Close Jan 1400 47 26 29 Feb 2400 28 20 26 Mar 1400 27 22 26 Apr 1200 27 18 20 May 2000 26 18 26 Jun 4000 41 22 29 Jul 4000 36 20 29 Aug 3880 36 23 30 Chart Title Jan Feb ......Sheet3 2023-02-27T02:28:21Z 16.0300 2023-02-24T01:59:48Z 2023-02-27T02:28:21Z...2023-02-27T02:28:21Z 2023-02-27T02:28:21Z 2023-02-27T02:28:21Z false 2023-02-27T02:28:21Z...

    docs.aspose.com/cells/fr/net/create-volume-high...
  7. out.xlsx

    Sheet1 Months Vol High Low Close Jan 1400 47 26 29 Feb 2400 28 20 26 Mar 1400 27 22 26 Apr 1200 27 18 20 May 2000 26 18 26 Jun 4000 41 22 29 Jul 4000 36 20 29 Aug 3880 36 23 30 Chart Title Jan Feb ......Sheet3 2023-02-27T02:28:21Z 16.0300 2023-02-24T01:59:48Z 2023-02-27T02:28:21Z...2023-02-27T02:28:21Z 2023-02-27T02:28:21Z 2023-02-27T02:28:21Z false 2023-02-27T02:28:21Z...

    docs.aspose.com/cells/de/java/create-volume-hig...
  8. Emlx conversion issues - Free Support Forum - a...

    Hello, A few conversion issues: Loading an .mht file and saving as .emlx will result in an extra = in the top of converted page. To make sure I’m seeing the emlx correctly, after this convert, I loaded the result .e…...nerds January 26, 2023, 1:10am 1 Hello, A few conversion...dmitry.samodurov January 26, 2023, 12:32pm 2 We have opened the...

    forum.aspose.com/t/emlx-conversion-issues/258708
  9. pivot_format.xlsx

    Sheet1 City Region Store Seattle West 3166 New York East 3090 Chicago Central 3055 New York East 3090 Sum of Store Column Labels Row Labels Central East West Grand Total Chicago 3055 3055 New York ......Seattle 3166 Grand Total 12401 2023-06-08T09:20:26Z 16.0300 Microsoft...2006-09-16T00:00:00Z 2023-06-08T09:20:26Z 2023-06-08T09:20:26Z 2023-06-08T09:20:26Z...

    docs.aspose.com/cells/es/nodejs-cpp/format-pivo...
  10. pivot_format.xlsx

    Sheet1 City Region Store Seattle West 3166 New York East 3090 Chicago Central 3055 New York East 3090 Sum of Store Column Labels Row Labels Central East West Grand Total Chicago 3055 3055 New York ......Seattle 3166 Grand Total 12401 2023-06-08T09:20:26Z 16.0300 Microsoft...2006-09-16T00:00:00Z 2023-06-08T09:20:26Z 2023-06-08T09:20:26Z 2023-06-08T09:20:26Z...

    docs.aspose.com/cells/tr/python-net/format-pivo...