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Table Filter and , Charts & Spreadsheets for Confluence add-on app allows you to filter the data presented in tables. Data filtration can be applied to one or several columns at a time. Just paste your table into the Table Filter macro and set the required columns for filtration. Besides table data filtration you can create dynamic charts and generate a pivot table with summarized and aggregated values with the capability to manage their settings while viewing Confluence pages.

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URL

https://docs.stiltsoft.com/

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TableFilter/Table+Filter+for+Confluence?utm_source=demo&utm_medium=referral&utm_content=tf-landing-button&utm_campaign=table-filter-traffic-sources

dc-server/welcome-to-table-filter-charts-spreadsheets-for-confluence-42239760.html
nameDocumentation
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Please select the macro you want to master and proceed to the corresponding page for training.


Table Filter

Image Added

Table Filter macro allows you to filter any type of table data with the available set of filters. Different types of filters can help you filter records listings, financial reports, tables containing dates and media assets.

Table Spreadsheet

Image Added

Table Spreadsheet macro allows you to add Excel-like spreadsheets. You can work with them both in the page view and page edit mode.



Chart from Table

Image Added

Chart from Table macro allows you to create dynamic and visually appealing charts on Confluence. A variety of avalable charts types can help you present your table in the way you want and like.

Pivot Table

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Pivot Table macro allows you to summarize your data or aggregate it against the specific parameter. It can help you to cope with the tables containing repeated values so you can quickly count, sum or get the average, minimal or maximal values for a specific parameter.

 

Table Filter and Charts for Confluence

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TitleDownload Add-on
URLhttps://marketplace.atlassian.com/plugins/com.stiltsoft.confluence.plugin.tablefilter.tablefilter?utm_source=demo&utm_medium=referral&utm_content=tf-landing-download-button&utm_campaign=table-filter-traffic-sources
 
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TitleSubmit Idea
URLhttps://stiltsoft.customercase.com/forums/support-requests/ideas/create?utm_source=referral&utm_medium=demo&utm_content=table-filter-space-page&utm_campaign=table-filter-traffic-sources
 
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TitleReport Issue
URLhttps://stiltsoft.customercase.com/forums/table-filter-for-confluence/ideas/create?utm_source=referral&utm_medium=demo&utm_content=table-filter-space-page&utm_campaign=table-filter-traffic-sources

 

 

 

Parameters

The add-on adds the Table Filter macro. You can add this macro onto your Confluence page and further paste one or multiple tables into its macro body. You can also insert the macros that generate the table data. The following parameters are available to you:

ParameterParameter NameDefaultDescription
columnDropdown Filter Columns The columns by which the table should be filtered. While using filters by several columns simultaneously, their names should be divided by comma.
userfilterFree Text Filter Columns The columns by which the table should be filtered with the user-entered keywords. While using filters by several columns simultaneously, their names should be divided by comma.
cell-widthSet Width of filters150This option allows you to define width in pixels for each filter on the filtration pane.
buttonHide Filters by DefaultfalseThis option allows you to collapse the filtration pane by default.
hidelabelsHide Filter LabelsfalseThis option allows you to hide labels of filters on the filtration pane.
hidePaneHide Filters by DefaultfalseThis option allows you to hide the filtration pane in the page view mode.
defaultSet Filters' Default Values The default values for drop-down filters and text boxes, which the table should be filtered by.
limitHeightFit Table to Screen Area This option allows you to enable the fitting of the table to your screen area.
globalFilterGlobal FilterfalseThis option allows you to enable the global filter for instant data filtration throughout the whole table.
numberingAutomatic Row NumberingfalseThis option allows you to enable dynamic or status automatic row numbering in the ascending or descending order.
showNRowsShow First N Rows This option allows you to specify the number of rows to show.
numberfilterNumber Filter Columns This option allows you to filter the columns with number values within the specific range.
datefilterDate Filter Columns This option allows you to filter the columns with dates within the specific date range.
datepatternDate format This option allows you to specify the appropriate date format for filtration by date range.
sortDefault SortingfalseThis option allows you to define the default sorting order for one or multiple table columns.
separatorDecimal SeparatorPoint (.)This option allows you set the appropriate decimal separator for your number values.

Examples

Generic table data filtration

Info

Please select one or multiple values to filter data in the table below.

Table Filter
defaultDoe|Fry
userfilterLast Name
columnCity,First Name,Occupation
id14412827696236c0f2523a350ba0b5a518e2d122a34fc

Last Name

First Name

Occupation

City

Doe

John

Developer

London

Fry

Philip

Delivery boy

New York City

Doe

Janet

Scientist

Tokyo

Farnsworth

Hubert

Scientist

New York City

Farnsworth

Cubert

Student

New York City

Default values for filtration and regular expressions

Info

Please note that Table Filter macro allows you to define default filter values for table columns. These values will be automatically applied upon each reload of the page. You can also use regular expressions for flexible data filtration.

Table Filter
defaultDoe|Fry
userfilterLast Name
id14412827699406c0f2523a350ba0b5a518e2d122a34fc

Last Name

First Name

Occupation

City

Doe

John

Developer

London

Fry

Philip

Delivery boy

New York City

Doe

Janet

Scientist

Tokyo

Farnsworth

Hubert

Scientist

New York City

Farnsworth

Cubert

Student

New York City

Table Filter
defaultDoe, London
columnLast Name, City
id14412827700396c0f2523a350ba0b5a518e2d122a34fc

Last Name

First Name

Occupation

City

Doe

John

Developer

London

Fry

Philip

Delivery boy

New York City

Doe

Janet

Scientist

Tokyo

Farnsworth

Hubert

Scientist

New York City

Farnsworth

Cubert

Student

New York City

Table filtration by the user-entered keyword

Info

Please note that Table Filter macro allows you to add free-text fields for dynamic data filtration depending on the specified query.

Try to start entering some values for filters to get dynamic filtration of the table.

Table Filter
userfilterFirst Name,City,Last Name,Occupation
id14412827701126c0f2523a350ba0b5a518e2d122a34fc

Last Name

First Name

Occupation

City

Doe

John

Developer

London

Fry

Philip

Delivery boy

New York City

Doe

Janet

Scientist

Tokyo

Farnsworth

Hubert

Scientist

New York City

Farnsworth

Cubert

Student

New York City

Global filter

Info

The global filter allows you to dynamically filter values in all columns of your table. Enter some query to get the table filtered.

Table Filter
globalFiltertrue
id14412827701766c0f2523a350ba0b5a518e2d122a34fc

Last Name

First Name

Occupation

City

Doe

John

Developer

London

Fry

Philip

Delivery boy

New York City

Doe

Janet

Scientist

Tokyo

Farnsworth

Hubert

Scientist

New York City

Farnsworth

Cubert

Student

New York City

Filtering multiple tables at once

Info

You can filter several tables at a time. Just paste two or more tables into the macro.

Table Filter
cell-width100,150,200
columnLast Name,First Name,Occupation
id144128277023897c34b7b63f19844ef06df7c0f08bf17

Last Name

First Name

Occupation

City

Doe

John

Developer

London

Fry

Philip

Delivery boy

New York City

Doe

Janet

Scientist

Tokyo

Farnsworth

Hubert

Scientist

New York City

Farnsworth

Cubert

Student

New York City

Last Name

First Name

Occupation

City

Brown

Adam

Developer

New York City

Fry

Andy

Delivery boy

London

Black

Jane

Scientist

Tokyo

McCarthy

Hubert

Scientist

New York City

McCarthy

Cubert

Student

London

Filtering the number range

Info

Table Filter macro allows you to filter numbers in your tables. Just select the appropriate number range or minimal/maximal value and get the table data filtered.

Table Filter
datepatternyy-mm-dd
numberfilterMinimal Purchase‚ $,Maximal Purchase‚ $,Average Purchase‚ $
id14412827703130262d9545b6f8ccf650fda78084cb674
CustomerMinimal Purchase, $Maximal Purchase, $Average Purchase, $Remy Deomampo47.50139.13214.00Rahul Dickstein73.50505.88184.00Radu Donahue117.75514.75208.25Preston Doorey61.38571.50334.63Phill Doyle63.38558.75142.00Philip Druckman37.13495.75291.25Philip Duncan74.1388.00125.38Peter Elia121.25573.00338.38Peter Erickson81.00453.3873.75Peter Espinosa26.13427.3863.38Peter Ferrero98.25347.7599.25Perez Figueiredo26.13315.38148.13Patrick Fixler27.88548.00221.13Patrick Flegal119.13185.63250.25Patino Forsyth110.3893.13366.13Pallavi Fox124.50552.50150.13Owen Franzoni77.88462.75359.25Ophir Friedman98.88170.25155.50Obaid Friis25.63331.88277.63Noelle Fu47.38569.63273.75Noel Gambino102.13134.88332.38Nicole Gao34.50608.25141.00Nishant Gao117.13622.25326.50Nicole Garcia87.00260.88179.50Negrin Gee93.13299.38117.63 Expand
titleClick here to expand the table with other data for filtration...
Table Filter
datepatternyy-mm-dd
numberfilterAverage Time per Call (min),Average Time per Ticket (min),Calls per Hour,Tickets per Hour,Earned Money for Support ($),Support Efficiency
id1441282770392ed2f08556ae8e335d069f54d639ee427
CustomerTickets per HourAverage Time per Ticket (min)Calls per HourAverage Time per Call (min)Earned Money for Support ($)Support EfficiencyRemy Deomampo2.85.92.67.25 185.0047.00%Rahul Dickstein7.82.52.03.72 366.0062.00%Radu Donahue6.53.81.93.21 449.0020.00%Preston Doorey6.76.83.76.73 096.0042.00%Phill Doyle4.74.02.36.74 957.0023.00%Philip Druckman3.93.02.043 544.0037.00%Philip Duncan7.35.91.35.84 007.0016.00%Peter Elia2.36.33.55.94 743.0024.00%Peter Erickson6.12.83.45.65 134.0057.00%Peter Espinosa5.42.74.84.12 257.0044.00%Peter Ferrero3.74.52.47.22 350.0040.00%Perez Figueiredo8.04.04.23.12 972.0016.00%Patrick Fixler6.41.41.55.94 490.0011.00%Patrick Flegal4.36.84.97.42 506.0014.00%Patino Forsyth5.57.03.541 489.0073.00%Pallavi Fox2.12.43.16.24 533.0014.00%Owen Franzoni6.75.24.94.31 361.0077.00%Ophir Friedman5.32.12.07.82 032.0047.00%Obaid Friis7.54.03.87.54 812.0016.00%Noelle Fu2.86.81.26.62 167.0010.00%Noel Gambino6.72.92.53.13 090.0047.00%Nicole Gao9.02.32.67.84 518.0061.00%Nishant Gao6.03.92.05.23 411.0071.00%Nicole Garcia3.85.94.66.33 139.0028.00%Negrin Gee2.82.32.25.44 072.0054.00%

 

Filtering the date range

Info

Table Filter macro allows you to filter dates in your tables. Just specify the appropriate date format and filter the table by date range.

Table Filter
datefilterRegistration Date,First Transaction,Last Transaction
datepatternm/d/yy
id1441282770573a50ab5ad5cf437af728748b0fec2436f
CustomerRegistration DateFirst TransactionLast TransactionStephen Chan5/26/20157/29/20157/19/2015Steven Chan6/5/20157/29/20158/14/2015Sompop Chang6/16/20157/21/20157/25/2015Spencer Chang6/23/20157/13/20158/11/2015Stephanie Chang6/14/20157/23/20158/9/2015Simond Chat5/18/20156/20/20158/20/2015Simon Chau6/17/20157/19/20157/27/2015Shiv Chayet5/4/20157/17/20157/20/2015Shannon Cheesebro5/11/20157/4/20158/20/2015Scott Chen5/3/20157/27/20158/2/2015Se Chen6/21/20157/11/20157/26/2015Sean Chen6/9/20157/21/20157/20/2015Seth Chen5/30/20157/15/20158/12/2015Sevag Chen5/15/20156/24/20157/20/2015Scott Cheng6/5/20157/12/20157/29/2015Satiya Cheung6/5/20157/25/20158/27/2015Sarah Chin6/4/20156/29/20158/29/2015Sara Chomitz6/13/20156/27/20158/17/2015Samuel Chou6/30/20157/6/20158/4/2015Sang Chou6/18/20156/28/20158/1/2015Sangjo Chou5/14/20157/6/20158/2/2015Samantha Chu6/3/20157/7/20158/20/2015Samaneh Chua6/21/20156/20/20157/22/2015Salas Chung6/6/20157/25/20158/23/2015Saeed Cilento5/2/20157/24/20158/26/2015 Expand
titleClick here to expand the table with another date format...
Table Filter
datefilterRegistration Date,First Transaction,Last Transaction
datepatternd-M-y
id1441282770640341815b5d41b1dc9fd023bfad3cde003
CustomerRegistration DateFirst TransactionLast TransactionStephen Chan26-May-1529-Jul-1519-Jul-15Steven Chan5-Jun-1529-Jul-1514-Aug-15Sompop Chang16-Jun-1521-Jul-1525-Jul-15Spencer Chang23-Jun-1513-Jul-1511-Aug-15Stephanie Chang14-Jun-1523-Jul-159-Aug-15Simond Chat18-May-1520-Jun-1520-Aug-15Simon Chau17-Jun-1519-Jul-1527-Jul-15Shiv Chayet4-May-1517-Jul-1520-Jul-15Shannon Cheesebro11-May-154-Jul-1520-Aug-15Scott Chen3-May-1527-Jul-152-Aug-15Se Chen21-Jun-1511-Jul-1526-Jul-15Sean Chen9-Jun-1521-Jul-1520-Jul-15Seth Chen30-May-1515-Jul-1512-Aug-15Sevag Chen15-May-1524-Jun-1520-Jul-15Scott Cheng5-Jun-1512-Jul-1529-Jul-15Satiya Cheung5-Jun-1525-Jul-1527-Aug-15Sarah Chin4-Jun-1529-Jun-1529-Aug-15Sara Chomitz13-Jun-1527-Jun-1517-Aug-15Samuel Chou30-Jun-156-Jul-154-Aug-15Sang Chou18-Jun-1528-Jun-151-Aug-15Sangjo Chou14-May-156-Jul-152-Aug-15Samantha Chu3-Jun-157-Jul-1520-Aug-15Samaneh Chua21-Jun-1520-Jun-1522-Jul-15Salas Chung6-Jun-1525-Jul-1523-Aug-15Saeed Cilento2-May-1524-Jul-1526-Aug-15 Expand
titleClick here to expand the table with another date format...
Table Filter
datefilterRegistration Date,First Transaction,Last Transaction
datepatternMM d, yy
id14412827707005257026debe1bfcab03b435797ebd132
CustomerRegistration DateFirst TransactionLast TransactionStephen ChanMay 26, 2015July 29, 2015July 19, 2015Steven ChanJune 5, 2015July 29, 2015August 14, 2015Sompop ChangJune 16, 2015July 21, 2015July 25, 2015Spencer ChangJune 23, 2015July 13, 2015August 11, 2015Stephanie ChangJune 14, 2015July 23, 2015August 9, 2015Simond ChatMay 18, 2015June 20, 2015August 20, 2015Simon ChauJune 17, 2015July 19, 2015July 27, 2015Shiv ChayetMay 4, 2015July 17, 2015July 20, 2015Shannon CheesebroMay 11, 2015July 4, 2015August 20, 2015Scott ChenMay 3, 2015July 27, 2015August 2, 2015Se ChenJune 21, 2015July 11, 2015July 26, 2015Sean ChenJune 9, 2015July 21, 2015July 20, 2015Seth ChenMay 30, 2015July 15, 2015August 12, 2015Sevag ChenMay 15, 2015June 24, 2015July 20, 2015Scott ChengJune 5, 2015July 12, 2015July 29, 2015Satiya CheungJune 5, 2015July 25, 2015August 27, 2015Sarah ChinJune 4, 2015June 29, 2015August 29, 2015Sara ChomitzJune 13, 2015June 27, 2015August 17, 2015Samuel ChouJune 30, 2015July 6, 2015August 4, 2015Sang ChouJune 18, 2015June 28, 2015August 1, 2015Sangjo ChouMay 14, 2015July 6, 2015August 2, 2015Samantha ChuJune 3, 2015July 7, 2015August 20, 2015Samaneh ChuaJune 21, 2015June 20, 2015July 22, 2015Salas ChungJune 6, 2015July 25, 2015August 23, 2015Saeed CilentoMay 2, 2015July 24, 2015August 26, 2015

 

Changing the width of the filter boxes

Info

Please note that Table Filter macro allows you to alternate width of filters on the filtration pane.

Table Filter
cell-width100,150,200
columnLast Name,First Name,Occupation
id14412827707586c0f2523a350ba0b5a518e2d122a34fc

Last Name

First Name

Occupation

City

Doe

John

Developer

London

Fry

Philip

Delivery boy

New York City

Doe

Janet

Scientist

Tokyo

Farnsworth

Hubert

Scientist

New York City

Farnsworth

Cubert

Student

New York City

 

Hiding the filters

Info

Please note that Table Filter macro allows you to hide or show the filtration pane on the page. Click Show filter to expand the filtration pane and Hide filter to collapse it.

Table Filter
buttontrue
columnLast Name
id14412827708196c0f2523a350ba0b5a518e2d122a34fc

Last Name

First Name

Occupation

City

Doe

John

Developer

London

Fry

Philip

Delivery boy

New York City

Doe

Janet

Scientist

Tokyo

Farnsworth

Hubert

Scientist

New York City

Farnsworth

Cubert

Student

New York City

Fitting table to the screen area

Info

Please note that Table Filter macro allows you to automatically fit long tables to your screen area.

Table Filter
numberingtrue
columnCustomer Status,Suspicious Transaction Activity,Target Transaction City
id1441282770894fc02ae92d220e111df089cb784761aa7
limitHeighttrue

 

 

First NameLast NameTransaction amountTarget Transaction CityTarget Transaction CountryCustomer StatusSuspicious Transaction ActivityTotal Transaction NumberReubenBarnett$129.42GuápilesTunisiaBlockedYes8McKenzieCleveland$216.75SavannahUnited StatesBlockedYes1PortiaLang$422.53MeerutCôte D'Ivoire (Ivory Coast)RejectedNo5EaganMcgee$253.03OrangevilleAfghanistanApprovedNo2RahimVelazquez$454.06Lac-SerentGeorgiaApprovedYes6RothHull$142.57LuziâniaSao Tome and PrincipeBlockedNo4JackGriffin$146.60GeorgiaBahamasBlockedNo4FaithNewton$324.96OkigweSri LankaRejectedYes1BasiaRay$260.39ValcourtEquatorial GuineaRejectedYes4LeandraDuncan$380.33MySwazilandRejectedNo6CameranVelasquez$144.75SchiltigheimBangladeshRejectedYes8AmeryPoole$418.48ZolderAzerbaijanRejectedYes1OwenWelch$279.12SpringdaleBeninRejectedYes4GermaineHines$347.08BellingenAlgeriaApprovedNo6ThaneCortez$338.56PenrithTunisiaApprovedYes1SeanDelacruz$421.67Vietri di PotenzaLibyaRejectedNo4WillowSkinner$216.70Ham-sur-SambreVenezuelaApprovedNo1CamillaGood$311.10Saint-HilarionMalawiRejectedNo7IngridHorne$365.20CratoDominicaApprovedYes4ClaireRaymond$126.99WiezeWestern SaharaBlockedYes9AkeemHolder$131.59SuttonSamoaBlockedYes7YuliHubbard$107.57Hudson BayBoliviaRejectedNo4GregorySampson$339.91StroudMozambiqueBlockedNo1FreyaOsborn$198.86RextonLuxembourgApprovedYes5KylanDillard$264.70Market DraytonYemenRejectedNo3CurranDickson$360.20San FranciscoSaint MartinBlockedNo7SylvesterCampos$338.44RiparbellaArmeniaBlockedYes5HadleyGates$363.39ChelmsfordNew ZealandRejectedYes7WillaStevens$137.89GlabaisJapanApprovedNo2KeelieByers$236.10Cavaion VeronesePalestine, State ofApprovedNo3JordanWeber$249.33SheppartonAnguillaBlockedYes9KarlyWalls$200.81CharlottetownGuatemalaApprovedYes7OctaviusCervantes$235.63MerksemDominicaApprovedYes4TyroneAlvarez$303.65ThameIraqBlockedYes5JoleneHowe$321.67Maple CreekTogoBlockedNo3CodyRoss$219.44GentAustriaBlockedYes6ChaseBryant$493.65Moustier-sur-SambreCzech RepublicApprovedNo9LynnCummings$484.17MetairieLiechtensteinApprovedNo3LarsShaw$170.60PittsburghBritish Indian Ocean TerritoryRejectedNo4CassidyPorter$142.39Saint-Maur-des-FossésZambiaApprovedYes3WhileminaGoodwin$255.81AmaroGuineaRejectedNo3JordanMullen$151.41AlajuelaEritreaApprovedNo9CurranBond$207.97WattrelosBelizeApprovedYes4ShadShelton$177.90Salt Lake CityEstoniaRejectedNo4EveHines$113.99MontpellierNetherlandsRejectedNo7AmirOdom$203.43ManavgatAlbaniaBlockedYes5EvanCoffey$489.53Prince AlbertBruneiRejectedNo5QuynnKing$393.43São LuísChileBlockedNo9IvyAlvarado$198.75GuwahatiCape VerdeApprovedNo2SethVasquez$333.66Greater HobartMalaysiaBlockedNo3GuyCotton$168.20Saint-PierreDenmarkBlockedNo4XylaSpears$368.74JamoigneGuernseyRejectedNo2HavivaHancock$136.33ChelseaZimbabweApprovedNo5JulietBarlow$326.73SolingenIranApprovedYes7KayCole$158.75ClareNetherlandsApprovedYes2ZenaidaKirkland$315.19Yellowhead CountyMongoliaBlockedNo4RyanWare$367.76TuticorinArmeniaRejectedYes8MaiteLowe$256.17MunoPolandBlockedNo1SandraSchultz$273.51NampaColombiaApprovedYes9KarinaHorton$443.37EsslingenTaiwanRejectedYes2LysandraBlack$322.36Strombeek-BeverSwazilandBlockedYes8AldenBuckner$249.18San Marcello PistoieseHungaryBlockedNo1LeviNolan$478.53ChambordUkraineRejectedNo7BuckminsterEwing$239.77HarenArgentinaBlockedNo1AidanHenson$340.93ValpellineJerseyApprovedNo3HowardCrosby$201.61ChambaveCameroonBlockedNo2GingerCastro$473.40Isle-aux-CoudresLatviaApprovedNo4HyattMullins$450.40OldenzaalSloveniaRejectedNo4RachelHead$166.15BautzenNauruBlockedNo7ShoshanaUnderwood$336.12Parkland CountyLiechtensteinBlockedNo2ColtKent$482.74JalgaonGrenadaApprovedYes3AmethystDunn$313.64DipignanoWestern SaharaApprovedYes9PlatoDuke$229.55ExeterIndiaBlockedYes1JaredDale$391.90BéziersMauritiusApprovedYes3LukeVang$375.44VorselaarJerseyBlockedYes1PhillipReed$431.70ChittoorChristmas IslandApprovedYes6BrandonLowery$213.54CorkChadRejectedYes1RafaelElliott$281.05Little RockJamaicaApprovedYes4LyleBlack$437.51MoldPalauRejectedYes6WendyRosa$219.66FortalezaEgyptApprovedNo7PriscillaDodson$414.83Polpenazze del GardaChristmas IslandApprovedYes1QuamarCrawford$465.99TreglioSurinameBlockedYes2ShadFlores$442.84VezirköprüGuyanaBlockedYes6LanaWheeler$202.64St. NeotsPalauRejectedNo1VannaFarmer$351.21MillportMaldivesApprovedYes9CadmanRay$352.24CheyenneSouth SudanBlockedNo7KimberleySavage$429.55MiamiVanuatuApprovedNo9ArmandSears$477.13Mussy-la-VilleSaint Vincent and The GrenadinesApprovedNo8SawyerVance$492.63DavoliBeninRejectedNo4TanekLyons$172.85Rocky ViewAfghanistanApprovedNo9NaydaHickman$295.47Newcastle-upon-TyneKiribatiBlockedNo3AileenWaters$202.47Idar-ObersteiSlovakiaBlockedYes3ForrestLarsen$269.64GulfportKorea, NorthBlockedYes3WillaKemp$239.89Somma LombardoWallis and FutunaApprovedYes2EugeniaByrd$466.08CaruaruNorthern Mariana IslandsRejectedYes8KatoBeck$396.49KhanpurSolomon IslandsApprovedYes2

 

 

Hiding table columns

Info

Please note that Table Filter macro allows you to hide columns if you have a too wide table. Select one or multiple columns to hide in the table below.

Table Filter
hideColumnstrue
columnBank Account Number,Customer Status,Suspicious Transaction Activity
id14412827709541e93cce7f63b88534c8ba89cee553d7e
First NameLast NameContact PhonesLast Transaction DateBank Account NumberTransaction amountTax AmountTarget Transaction CityTarget Transaction CountryCustomer StatusSuspicious Transaction ActivityTotal Transaction NumberReubenBarnett0500 00988812/14/14DO07819385109432271545550865$129.42$10.28GuápilesTunisiaBlockedYes8McKenzieCleveland07624 78537309/15/14CH6046131558340157475$216.75$46.19SavannahUnited StatesBlockedYes1PortiaLang(011247) 0442009/27/14EE967962637165872502$422.53$16.29MeerutCôte D'Ivoire (Ivory Coast)RejectedNo5EaganMcgee07212 43049209/19/14MK83589588636375406$253.03$26.26OrangevilleAfghanistanApprovedNo2RahimVelazquez0325 526 844012/31/14FO0682149824230550$454.06$27.73Lac-SerentGeorgiaApprovedYes6RothHull0500 31184410/11/14LU056987267796106873$142.57$14.14LuziâniaSao Tome and PrincipeBlockedNo4JackGriffin07624 30748809/04/14BA714509342088998370$146.60$34.55GeorgiaBahamasBlockedNo4FaithNewton0800 111109/24/14LU521764205226552485$324.96$24.60OkigweSri LankaRejectedYes1BasiaRay0346 983 834008/13/14TR280491289079508593611789$260.39$45.19ValcourtEquatorial GuineaRejectedYes4LeandraDuncan0359 889 682201/11/15CR0942393063075420342$380.33$34.57MySwazilandRejectedNo6