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Judith-Excel-Sharing

esProc Desktop is a desktop data processing & analytics tool and is specifically designed for ordinary business people, which significantly lowers the technical threshold for data analytics.

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#119 — Group by the Expression

#119 — Group by the Expression

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#118 — Group by the Combination of Multiple Columns

#118 — Group by the Combination of Multiple Columns

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#117 — Simple Grouping

#117 — Simple Grouping

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#116 — Concatenate Members with the Same Ranking

#116 — Concatenate Members with the Same Ranking

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#115 — Ranking of Row-Based Data — by the Expression

#115 — Ranking of Row-Based Data — by the Expression

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#114 — Ranking of Row-Based Data — by the Combination of Multiple Columns

#114 — Ranking of Row-Based Data — by the Combination of Multiple Columns

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#113 — Ranking of Row-Based Data

#113 — Ranking of Row-Based Data

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#112 — Ranking of Simple Members

#112 — Ranking of Simple Members

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#111 — Sort in Group

#111 — Sort in Group

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#110 — Sorting of Row-Based Data — by Expression

#110 — Sorting of Row-Based Data — by Expression

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#109 — Sorting of Row-Based Data — by the Combination of Multiple Columns

#109 — Sorting of Row-Based Data — by the Combination of Multiple Columns

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#108 — Sorting of Row-Based Data

#108 — Sorting of Row-Based Data

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#107 — Sorting of Simple Members

#107 — Sorting of Simple Members

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#106 — Delete Data that Can be Paired

#106 — Delete Data that Can be Paired

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#105 — Filter by the Number of Duplicates

#105 — Filter by the Number of Duplicates

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#104 — Deduplication of Row-Based Data — by Whole Row — Keeping the Original Order

#104 — Deduplication of Row-Based Data — by Whole Row — Keeping the Original Order

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#103 — Deduplication of Row-Based Data — by Key Column — Keeping the Original Order

#103 — Deduplication of Row-Based Data — by Key Column — Keeping the Original Order

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#102 — Deduplication of Simple Data — Keeping the Original Order

#102 — Deduplication of Simple Data — Keeping the Original Order

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#101 - Deduplication of Row-Based Data - by Whole Row

#101 - Deduplication of Row-Based Data - by Whole Row

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#100 — Deduplication of Row-Based Data — by Key Column

#100 — Deduplication of Row-Based Data — by Key Column

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#99 — Deduplication of Simple Data

#99 — Deduplication of Simple Data

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#98 — Count Duplicates of Row-Based Data — by Key Column

#98 — Count Duplicates of Row-Based Data — by Key Column

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#97 — Count Duplicates of Simple Members

#97 — Count Duplicates of Simple Members

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#96 — Identify Duplications of Row-Based Data — by Key Column

#96 — Identify Duplications of Row-Based Data — by Key Column

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#95 — Identify Duplications of Simple Members

#95 — Identify Duplications of Simple Members

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#94 — Intersection, Union, and Difference in the Case of Row-Based Data — Two Sets — by Whole Row

#94 — Intersection, Union, and Difference in the Case of Row-Based Data — Two Sets — by Whole Row

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#93 — Intersection, Union and Difference in the Case of Row-Based Data — Two Sets — by Key Column

#93 — Intersection, Union and Difference in the Case of Row-Based Data — Two Sets — by Key Column

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#92 — Intersection, Union, And Difference in the Case of Simple Members — Multiple Sets

#92 — Intersection, Union, And Difference in the Case of Simple Members — Multiple Sets

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#91 — Intersection, Union, And Difference in the Case of Simple Members — Two Sets

#91 — Intersection, Union, And Difference in the Case of Simple Members — Two Sets

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#91 — Intersection, Union, And Difference in the Case of Simple Members — Two Sets

#91 — Intersection, Union, And Difference in the Case of Simple Members — Two Sets

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#90 — Generate Numbers in Each Group

#90 — Generate Numbers in Each Group

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#89 — Calculate Proportion Using the Aggregation Values of the Data from the Same Group

#89 — Calculate Proportion Using the Aggregation Values of the Data from the Same Group

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#88 — String Concatenation And Aggregation

#88 — String Concatenation And Aggregation

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#87 — Merge Data of The Same Group

#87 — Merge Data of The Same Group

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#86 — Calculate Using Adjacent Row/Interval When Data of The Same Group Is Discontinuous (LRR/YOY in The Case of Missing Data)

#86 — Calculate Using Adjacent Row/Interval When Data of The Same Group Is Discontinuous (LRR/YOY in The Case of Missing Data)

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#86 — Calculate Using Adjacent Row/Interval When Data of The Same Group Is Discontinuous (LRR/YOY in The Case of Missing Data)

#86 — Calculate Using Adjacent Row/Interval When Data of The Same Group Is Discontinuous (LRR/YOY in The Case of Missing Data)

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#85 — Calculate Using Adjacent Row/Interval When Data of The Same Group Is Continuous (Link Relative Ratio And YOY)

#85 — Calculate Using Adjacent Row/Interval When Data of The Same Group Is Continuous (Link Relative Ratio And YOY)

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#84 — Accumulation for Continuous Occurrence of A Certain Condition

#84 — Accumulation for Continuous Occurrence of A Certain Condition

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#83 — Early-Terminated Accumulation

#83 — Early-Terminated Accumulation

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#82 — Filter by Accumulation

#82 — Filter by Accumulation

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#81 — Accumulate Data in Each Group

#81 — Accumulate Data in Each Group

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#80 — Simple Accumulation

#80 — Simple Accumulation

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#79 - Split Aggregation Values And Fill Them in Detail Rows

#79 - Split Aggregation Values And Fill Them in Detail Rows

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#78 — Fill Aggregation Value in The First Row of The Same Group of Data

#78 — Fill Aggregation Value in The First Row of The Same Group of Data

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#77 - Conditional Aggregation

#77 - Conditional Aggregation

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#76 — Simple Column-Wise Aggregation

#76 — Simple Column-Wise Aggregation

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#75 — Find out The Intervals in Which A Certain Condition Occurs Continuously

#75 — Find out The Intervals in Which A Certain Condition Occurs Continuously

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#74 - Filter by Maximum Or Minimum Value within A Group (Find out One for Each Group)

#74 - Filter by Maximum Or Minimum Value within A Group (Find out One for Each Group)

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#73 — Use Grouped Aggregation Values When Filtering

#73 — Use Grouped Aggregation Values When Filtering

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#73 — Use Grouped Aggregation Values When Filtering

#73 — Use Grouped Aggregation Values When Filtering

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#72 — Filter by Grouped Aggregation Values

#72 — Filter by Grouped Aggregation Values

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#71 — Take Values of Adjacent Rows in The Same Group (Search & Filter within Adjacent Intervals)

#71 — Take Values of Adjacent Rows in The Same Group (Search & Filter within Adjacent Intervals)

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#70 — Search by Adjacent Rows

#70 — Search by Adjacent Rows

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#69 — Filter by Multiple Conditions

#69 — Filter by Multiple Conditions

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#68 — Search for Rows That Satisfy The Condition

#68 — Search for Rows That Satisfy The Condition

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#67 — Search for Row Numbers That Satisfy The Condition

#67 — Search for Row Numbers That Satisfy The Condition

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#66 — Search for The Position of A Certain Value And Take Values by Position

#66 — Search for The Position of A Certain Value And Take Values by Position

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#65 — Filter Rows by Position

#65 — Filter Rows by Position

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#64 — Search for Top N Values And Last N Values

#64 — Search for Top N Values And Last N Values

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#63 — Search for The Nth Value And The Nth Value from Last

#63 — Search for The Nth Value And The Nth Value from Last

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