{"text_format":"1","workbook":"xlsx","n_sheets":9,"sheets":["CCA","CCA Visualization","Correlational Analysis","AGIRI Calculations","Actor Salience","Trend Pre-Post","Trend Current","Syntax","Trend Calculation"],"not_rendered":{"charts":26,"images":0,"macros":1,"external_links":0,"defined_names":0,"comments":0,"pivot_tables":0},"unopened":[],"bounds":{"document_bytes":16777216,"sheet_cells":100000,"rows_first":2000,"rows_last":500,"rows_between":2000,"halvings":0,"cell_chars":16384,"cell_head_chars":4096},"cells_cut":0,"cells_raw":0,"read":"whole","date_system":"1900"}

{"sheet":"CCA","index":0,"n_rows":20,"n_cols":6,"rows_kept":20,"cut":false,"hidden":false,"merged":[[19,0,19,2]]}
["When using this tool, reference graphs and data as: "]
["Andrej Zwitter, Comprehensive Context, Correlation and Effect Analysis Tool, ECFAR 2014; available online <http://ecfar.org/CCAnalysis.html>"]
[]
[null,"Pre Best","Pre-Emergency Context:","Pre Worst",null," "]
["Environment",4,null,4]
["Health",4,null,3]
["Political",3,null,2]
["Economic",5,null,4]
["Social",6,null,4]
["Food",5,null,5]
[]
[null,"Post Best","Post-Emergency Context:","Post Worst"]
["Environment",4,null,4]
["Health",3,null,2]
["Political",5,null,5]
["Economic",4,null,3]
["Social",4,null,3]
["Food",3,null,2]
[]
["Capabilities and Constraints "]

{"sheet":"CCA Visualization","index":1,"n_rows":4,"n_cols":1,"rows_kept":4,"cut":false,"hidden":true,"merged":[[3,0,7,7],[0,0,0,22],[1,0,1,22]]}
["When Using this tool reference graphs and data as: "]
["Andrej Zwitter, Comprehensive Context, Correlation and Effect Analysis Tool, ECFAR 2014; available online <http://ecfar.org/CCAnalysis.html>"]
[]
["In order to delete slots for actors/hazards not used:\n1) Klick with the right mouse button on the graph.\n2) Klick \"Select Data\"\n3) Klick on the letters representing actors/hazards not used (A-M) and press \"Remove\""]

{"sheet":"Correlational Analysis","index":2,"n_rows":10,"n_cols":8,"rows_kept":10,"cut":false,"hidden":false,"merged":[]}
["When using this tool, reference graphs and data as: "]
["Andrej Zwitter, Comprehensive Context, Correlation and Effect Analysis Tool, ECFAR 2014; available online <http://ecfar.org/CCAnalysis.html>"]
[]
[null,"Environm. context","Health context","Political context","Economic context","Social   context","Food     context","Centrality Score"]
["Environm. context",0,0,1,0,1,0,{"$f":"SUM(B5:G5)/5","v":0.4}]
["Health   context",{"$f":"C5","v":0},0,2,1,2,3,1.6]
["Political context",{"$f":"D5","v":1},{"$f":"D6","v":2},0,1,3,2,1.8]
["Economic context",{"$f":"E5","v":0},{"$f":"E6","v":1},{"$f":"E7","v":1},0,2,2,1.2]
["Social   context",{"$f":"F5","v":1},{"$f":"F6","v":2},{"$f":"F7","v":3},{"$f":"F8","v":2},0,3,2.2000000000000002]
["Food     context",{"$f":"G5","v":0},{"$f":"G6","v":3},{"$f":"G7","v":2},{"$f":"G8","v":2},{"$f":"G9","v":3},0,2]

{"sheet":"AGIRI Calculations","index":3,"n_rows":160,"n_cols":5,"rows_kept":160,"cut":false,"hidden":false,"merged":[[154,0,159,0],[142,0,147,0],[148,0,153,0],[130,0,135,0],[136,0,141,0],[118,0,123,0],[124,0,129,0],[106,0,111,0],[112,0,117,0],[94,0,99,0],[100,0,105,0],[82,0,87,0],[88,0,93,0],[70,0,75,0],[76,0,81,0],[58,0,63,0],[64,0,69,0],[2,0,2,4],[4,0,9,0],[10,0,15,0],[52,0,57,0],[16,0,21,0],[22,0,27,0],[28,0,33,0],[40,0,45,0],[46,0,51,0],[34,0,39,0]]}
["When using this tool, reference graphs and data as: "]
["Andrej Zwitter, Comprehensive dimension, Correlation and Effect Analysis Tool, ECFAR 2014; available online <http://ecfar.org/CCAnalysis.html>"]
["Stakeholder - Trend Calculation"]
["Actor ","Context Dimension","Salience","Capab.","Eff. Power"]
["Government","Environmental",0.2,1,{"$f":"C5*D5","v":0.2}]
[null,"Health",null,null,{"$f":"C6*D6","v":0}]
[null,"Political ",1,1,1]
[null,"Economic ",1,2,2]
[null,"Social ",1,3,3]
[null,"Food ",0.5,2,1]
["UNDP","Environmental",-0.4,3,-1.2000000000000002]
[null,"Health",null,null,0]
[null,"Political ",null,null,0]
[null,"Economic ",null,null,0]
[null,"Social ",null,null,0]
[null,"Food ",null,null,0]
["OCHA","Environmental",1,3,3]
[null,"Health",null,null,0]
[null,"Political ",null,null,0]
[null,"Economic ",1,3,3]
[null,"Social ",null,null,0]
[null,"Food ",null,null,0]
["Belingerents","Environmental",-0.1,4,-0.4]
[null,"Health",null,null,0]
[null,"Political ",null,null,0]
[null,"Economic ",null,null,0]
[null,"Social ",1,1,1]
[null,"Food ",null,null,0]
["Military","Environmental",null,null,0]
[null,"Health",null,null,0]
[null,"Political ",null,null,0]
[null,"Economic ",null,null,0]
[null,"Social ",null,null,0]
[null,"Food ",-0.2,2,-0.4]
["F","Environmental",null,null,0]
[null,"Health",null,null,0]
[null,"Political ",-0.9,1,-0.9]
[null,"Economic ",null,null,0]
[null,"Social ",null,null,0]
[null,"Food ",null,null,0]
["G","Environmental",null,null,0]
[null,"Health",null,null,0]
[null,"Political ",null,null,0]
[null,"Economic ",null,null,0]
[null,"Social ",-0.9,1,-0.9]
[null,"Food ",null,null,0]
["H","Environmental",1,1,1]
[null,"Health",null,null,0]
[null,"Political ",null,null,0]
[null,"Economic ",null,null,0]
[null,"Social ",null,null,0]
[null,"Food ",null,null,0]
["I","Environmental",null,null,0]
[null,"Health",-0.9,1,-0.9]
[null,"Political ",null,null,0]
[null,"Economic ",null,null,0]
[null,"Social ",null,null,0]
[null,"Food ",null,null,0]
["J","Environmental",null,null,0]
[null,"Health",null,null,0]
[null,"Political ",null,null,0]
[null,"Economic ",null,null,0]
[null,"Social ",null,null,0]
[null,"Food ",null,null,0]
["K","Environmental",null,null,0]
[null,"Health",null,null,0]
[null,"Political ",null,null,0]
[null,"Economic ",null,null,0]
[null,"Social ",null,null,0]
[null,"Food ",null,null,{"$f":"C70*D70","v":0}]
["L","Environmental",null,null,0]
[null,"Health",null,null,0]
[null,"Political ",null,null,0]
[null,"Economic ",null,null,0]
[null,"Social ",null,null,0]
[null,"Food ",null,null,0]
["M","Environmental",null,null,0]
[null,"Health",null,null,0]
[null,"Political ",null,null,0]
[null,"Economic ",null,null,0]
[null,"Social ",null,null,0]
[null,"Food ",null,null,0]
["N","Environmental",null,null,0]
[null,"Health",null,null,0]
[null,"Political ",null,null,0]
[null,"Economic ",null,null,0]
[null,"Social ",null,null,0]
[null,"Food ",null,null,0]
["O","Environmental",null,null,0]
[null,"Health",null,null,0]
[null,"Political ",null,null,0]
[null,"Economic ",null,null,0]
[null,"Social ",null,null,0]
[null,"Food ",null,null,0]
["P","Environmental",null,null,0]
[null,"Health",null,null,0]
[null,"Political ",null,null,0]
[null,"Economic ",null,null,0]
[null,"Social ",null,null,0]
[null,"Food ",null,null,0]
["Q","Environmental",null,null,0]
[null,"Health",null,null,0]
[null,"Political ",null,null,0]
[null,"Economic ",null,null,0]
[null,"Social ",null,null,0]
[null,"Food ",null,null,0]
["R","Environmental",null,null,0]
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["T","Environmental",null,null,0]
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[null,"Economic ",null,null,0]
[null,"Social ",null,null,0]
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["U","Environmental",null,null,0]
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[null,"Social ",null,null,0]
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["W","Environmental",null,null,0]
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["X","Environmental",null,null,0]
[null,"Health",null,null,0]
[null,"Political ",null,null,0]
[null,"Economic ",null,null,0]
[null,"Social ",null,null,0]
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["Y","Environmental",null,null,0]
[null,"Health",null,null,0]
[null,"Political ",null,null,0]
[null,"Economic ",null,null,0]
[null,"Social ",null,null,0]
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["Z","Environmental",null,null,0]
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{"sheet":"Actor Salience","index":4,"n_rows":3,"n_cols":14,"rows_kept":3,"cut":false,"hidden":true,"merged":[[2,13,29,16]]}
[]
[]
[null,null,null,null,null,null,null,null,null,null,null,null,null,"This tool will map the first ten actors in order to keep the visualisation simple to analyse. If you want further actors to be mapped follow the following steps:\n1. Right click the graph (e.g. Food dimension)\n2. Select Data\n3. Add Series\n4. Click on the button beside “Name”\n5. Select Work Sheet “AGIRI Calculations”\n6. Select the Cell that contains the actor’s name and press Enter\n7. Click on the button beside “X-Values”\n8. Select Work Sheet “AGIRI Calculations”\n9. Select the Cell that contains the actor’s salience for the specific dimension and press Enter\n10. Click on the button beside “X-Values”\n11. Select Work Sheet “AGIRI Calculations”\n12. Select the Cell that contains the actor’s salience for the specific dimension and press Enter\n13. Click on the button beside “Y-Values”\n14. Select Work Sheet “AGIRI Calculations”\n15. Select the Cell that contains the actor’s capabilities for the specific dimension and press Enter\n16. A new actor has been added to your graph\n"]

{"sheet":"Trend Pre-Post","index":5,"n_rows":2,"n_cols":1,"rows_kept":2,"cut":false,"hidden":true,"merged":[[0,0,0,21],[1,0,1,21]]}
["When Using this tool reference graphs and data as: "]
["Andrej Zwitter, Comprehensive Context, Correlation and Effect Analysis Tool, ECFAR 2014; available online <http://ecfar.org/CCAnalysis.html>"]

{"sheet":"Trend Current","index":6,"n_rows":2,"n_cols":1,"rows_kept":2,"cut":false,"hidden":true,"merged":[[0,0,0,21],[1,0,1,21]]}
["When Using this tool reference graphs and data as: "]
["Andrej Zwitter, Comprehensive Context, Correlation and Effect Analysis Tool, ECFAR 2014; available online <http://ecfar.org/CCAnalysis.html>"]

{"sheet":"Syntax","index":7,"n_rows":50,"n_cols":33,"rows_kept":50,"cut":false,"hidden":true,"merged":[[1,7,1,19],[0,0,0,19],[26,0,26,19],[27,0,27,19],[28,0,28,19],[37,0,37,19],[38,0,38,19],[47,0,47,19],[48,0,48,19],[49,0,49,19]]}
["SYNTAX DO NOT CHANGE - SYNTAX DO NOT CHANGE - SYNTAX DO NOT CHANGE - SYNTAX DO NOT CHANGE - SYNTAX DO NOT CHANGE "]
[null,null,null,null,"Time","context State",null,"context relevant actors and hazards"]
[null,null,null,null,null,"Environmental Lower Trend","Environmental Upper Trend",{"$f":"'Trend Calculation'!B3","v":"Government"},{"$f":"'Trend Calculation'!C3","v":"UNDP"},{"$f":"'Trend Calculation'!D3","v":"OCHA"},{"$f":"'Trend Calculation'!E3","v":"Belingerents"},{"$f":"'Trend Calculation'!F3","v":"Military"},{"$f":"'Trend Calculation'!G3","v":"F"},{"$f":"'Trend Calculation'!H3","v":"G"},{"$f":"'Trend Calculation'!I3","v":"H"},{"$f":"'Trend Calculation'!J3","v":"I"},{"$f":"'Trend Calculation'!K3","v":"J"},{"$f":"'Trend Calculation'!L3","v":"K"},{"$f":"'Trend Calculation'!M3","v":"L"},{"$f":"'Trend Calculation'!N3","v":"M"},{"$f":"'Trend Calculation'!O3","v":"N"},{"$f":"'Trend Calculation'!P3","v":"O"},{"$f":"'Trend Calculation'!Q3","v":"P"},{"$f":"'Trend Calculation'!R3","v":"Q"},{"$f":"'Trend Calculation'!S3","v":"R"},{"$f":"'Trend Calculation'!T3","v":"S"},{"$f":"'Trend Calculation'!U3","v":"T"},{"$f":"'Trend Calculation'!V3","v":"U"},{"$f":"'Trend Calculation'!W3","v":"V"},{"$f":"'Trend Calculation'!X3","v":"W"},{"$f":"'Trend Calculation'!Y3","v":"X"},{"$f":"'Trend Calculation'!Z3","v":"Y"},{"$f":"'Trend Calculation'!AA3","v":"Z"}]
[null,null,null,null,"t=-1",{"$f":"CCA!D5","v":4},{"$f":"CCA!B5","v":4}]
[null,null,null,null,"t=0",{"$f":"CCA!D13","v":4},{"$f":"CCA!B13","v":4},4.5,4.5,4.5,6,6,6,6,6,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20,21,22,23]
[null,null,null,null,"t=1",{"$f":"'Trend Calculation'!AB4","v":6.6},{"$f":"'Trend Calculation'!AB13","v":6.6},{"$f":"'Trend Calculation'!B4","v":0.2},{"$f":"'Trend Calculation'!C4","v":-1.2000000000000002},{"$f":"'Trend Calculation'!D4","v":3},{"$f":"'Trend Calculation'!E4","v":-0.4},{"$f":"'Trend Calculation'!F4","v":0},{"$f":"'Trend Calculation'!G4","v":0},{"$f":"'Trend Calculation'!H4","v":0},{"$f":"'Trend Calculation'!I4","v":1},{"$f":"'Trend Calculation'!J4","v":0},{"$f":"'Trend Calculation'!K4","v":0},{"$f":"'Trend Calculation'!L4","v":0},{"$f":"'Trend Calculation'!M4","v":0},{"$f":"'Trend Calculation'!N4","v":0},{"$f":"'Trend Calculation'!O4","v":0},{"$f":"'Trend Calculation'!P4","v":0},{"$f":"'Trend Calculation'!Q4","v":0},{"$f":"'Trend Calculation'!R4","v":0},{"$f":"'Trend Calculation'!S4","v":0},{"$f":"'Trend Calculation'!T4","v":0},{"$f":"'Trend Calculation'!U4","v":0},{"$f":"'Trend Calculation'!V4","v":0},{"$f":"'Trend Calculation'!W4","v":0},{"$f":"'Trend Calculation'!X4","v":0},{"$f":"'Trend Calculation'!Y4","v":0},{"$f":"'Trend Calculation'!Z4","v":0},{"$f":"'Trend Calculation'!AA4","v":0}]
[null,null,null,null,null,"Health Lower Trend","Health Upper Trend",{"$f":"'Trend Calculation'!B3","v":"Government"},{"$f":"'Trend Calculation'!C3","v":"UNDP"},{"$f":"'Trend Calculation'!D3","v":"OCHA"},{"$f":"'Trend Calculation'!E3","v":"Belingerents"},{"$f":"'Trend Calculation'!F3","v":"Military"},{"$f":"'Trend Calculation'!G3","v":"F"},{"$f":"'Trend Calculation'!H3","v":"G"},{"$f":"'Trend Calculation'!I3","v":"H"},{"$f":"'Trend Calculation'!J3","v":"I"},{"$f":"'Trend Calculation'!K3","v":"J"},{"$f":"'Trend Calculation'!L3","v":"K"},{"$f":"'Trend Calculation'!M3","v":"L"},{"$f":"'Trend Calculation'!N3","v":"M"},{"$f":"'Trend Calculation'!O3","v":"N"},{"$f":"'Trend Calculation'!P3","v":"O"},{"$f":"'Trend Calculation'!Q3","v":"P"},{"$f":"'Trend Calculation'!R3","v":"Q"},{"$f":"'Trend Calculation'!S3","v":"R"},{"$f":"'Trend Calculation'!T3","v":"S"},{"$f":"'Trend Calculation'!U3","v":"T"},{"$f":"'Trend Calculation'!V3","v":"U"},{"$f":"'Trend Calculation'!W3","v":"V"},{"$f":"'Trend Calculation'!X3","v":"W"},{"$f":"'Trend Calculation'!Y3","v":"X"},{"$f":"'Trend Calculation'!Z3","v":"Y"},{"$f":"'Trend Calculation'!AA3","v":"Z"}]
[null,null,null,null,"t=-1",{"$f":"CCA!D6","v":3},{"$f":"CCA!B6","v":4}]
[null,null,null,null,"t=0",{"$f":"CCA!D14","v":2},{"$f":"CCA!B14","v":3},3.5,3.5,3.5,5,5,5,5,5,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20,21,22]
[null,null,null,null,"t=1",{"$f":"'Trend Calculation'!AB5","v":1.1000000000000001},{"$f":"'Trend Calculation'!AB14","v":2.1},{"$f":"'Trend Calculation'!B5","v":0},{"$f":"'Trend Calculation'!C5","v":0},{"$f":"'Trend Calculation'!D5","v":0},{"$f":"'Trend Calculation'!E5","v":0},{"$f":"'Trend Calculation'!F5","v":0},{"$f":"'Trend Calculation'!G5","v":0},{"$f":"'Trend Calculation'!H5","v":0},{"$f":"'Trend Calculation'!I5","v":0},{"$f":"'Trend Calculation'!J5","v":-0.9},{"$f":"'Trend Calculation'!K5","v":0},{"$f":"'Trend Calculation'!L5","v":0},{"$f":"'Trend Calculation'!M5","v":0},{"$f":"'Trend Calculation'!N5","v":0},{"$f":"'Trend Calculation'!O5","v":0},{"$f":"'Trend Calculation'!P5","v":0},{"$f":"'Trend Calculation'!Q5","v":0},{"$f":"'Trend Calculation'!R5","v":0},{"$f":"'Trend Calculation'!S5","v":0},{"$f":"'Trend Calculation'!T5","v":0},{"$f":"'Trend Calculation'!U5","v":0},{"$f":"'Trend Calculation'!V5","v":0},{"$f":"'Trend Calculation'!W5","v":0},{"$f":"'Trend Calculation'!X5","v":0},{"$f":"'Trend Calculation'!Y5","v":0},{"$f":"'Trend Calculation'!Z5","v":0},{"$f":"'Trend Calculation'!AA5","v":0}]
[null,null,null,null,null,"Political Lower Trend","Political Upper Trend",{"$f":"'Trend Calculation'!B3","v":"Government"},{"$f":"'Trend Calculation'!C3","v":"UNDP"},{"$f":"'Trend Calculation'!D3","v":"OCHA"},{"$f":"'Trend Calculation'!E3","v":"Belingerents"},{"$f":"'Trend Calculation'!F3","v":"Military"},{"$f":"'Trend Calculation'!G3","v":"F"},{"$f":"'Trend Calculation'!H3","v":"G"},{"$f":"'Trend Calculation'!I3","v":"H"},{"$f":"'Trend Calculation'!J3","v":"I"},{"$f":"'Trend Calculation'!K3","v":"J"},{"$f":"'Trend Calculation'!L3","v":"K"},{"$f":"'Trend Calculation'!M3","v":"L"},{"$f":"'Trend Calculation'!N3","v":"M"},{"$f":"'Trend Calculation'!O3","v":"N"},{"$f":"'Trend Calculation'!P3","v":"O"},{"$f":"'Trend Calculation'!Q3","v":"P"},{"$f":"'Trend Calculation'!R3","v":"Q"},{"$f":"'Trend Calculation'!S3","v":"R"},{"$f":"'Trend Calculation'!T3","v":"S"},{"$f":"'Trend Calculation'!U3","v":"T"},{"$f":"'Trend Calculation'!V3","v":"U"},{"$f":"'Trend Calculation'!W3","v":"V"},{"$f":"'Trend Calculation'!X3","v":"W"},{"$f":"'Trend Calculation'!Y3","v":"X"},{"$f":"'Trend Calculation'!Z3","v":"Y"},{"$f":"'Trend Calculation'!AA3","v":"Z"}]
[null,null,null,null,"t=-1",{"$f":"CCA!D7","v":2},{"$f":"CCA!B7","v":3}]
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["SYNTAX DO NOT CHANGE - SYNTAX DO NOT CHANGE - SYNTAX DO NOT CHANGE - SYNTAX DO NOT CHANGE - SYNTAX DO NOT CHANGE "]
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["SYNTAX DO NOT CHANGE - SYNTAX DO NOT CHANGE - SYNTAX DO NOT CHANGE - SYNTAX DO NOT CHANGE - SYNTAX DO NOT CHANGE "]
["SYNTAX DO NOT CHANGE - SYNTAX DO NOT CHANGE - SYNTAX DO NOT CHANGE - SYNTAX DO NOT CHANGE - SYNTAX DO NOT CHANGE "]

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["Food context",{"$f":"'AGIRI Calculations'!E10","v":1},{"$f":"'AGIRI Calculations'!E16","v":0},{"$f":"'AGIRI Calculations'!E22","v":0},{"$f":"'AGIRI Calculations'!E28","v":0},{"$f":"'AGIRI Calculations'!E34","v":-0.4},{"$f":"'AGIRI Calculations'!E40","v":0},{"$f":"'AGIRI Calculations'!E46","v":0},{"$f":"'AGIRI Calculations'!E52","v":0},{"$f":"'AGIRI Calculations'!E58","v":0},{"$f":"'AGIRI Calculations'!E64","v":0},{"$f":"'AGIRI Calculations'!E70","v":0},{"$f":"'AGIRI Calculations'!E76","v":0},{"$f":"'AGIRI Calculations'!E82","v":0},{"$f":"'AGIRI Calculations'!E88","v":0},{"$f":"'AGIRI Calculations'!E94","v":0},{"$f":"'AGIRI Calculations'!E100","v":0},{"$f":"'AGIRI Calculations'!E106","v":0},{"$f":"'AGIRI Calculations'!E112","v":0},{"$f":"'AGIRI Calculations'!E118","v":0},{"$f":"'AGIRI Calculations'!E124","v":0},{"$f":"'AGIRI Calculations'!E130","v":0},{"$f":"'AGIRI Calculations'!E136","v":0},{"$f":"'AGIRI Calculations'!E142","v":0},{"$f":"'AGIRI Calculations'!E148","v":0},{"$f":"'AGIRI Calculations'!E154","v":0},{"$f":"'AGIRI Calculations'!E160","v":0},{"$f":"CCA!D18+SUM(B9:AA9)","v":2.6}]
[]
[{"$f":"A2","v":0},"Actors",0,0,0,0,0,0,0,0,"Actors",0,0,0,null,null,null,null,null,null,null,null,null,null,null,null,null,"Trend"]
[{"$f":"A3","v":0},"Government","UNDP","OCHA","Belingerents","Military","F","G","H","I","J","K","L","M","N","O","P","Q","R","S","T","U","V","W","X","Y","Z","Upper"]
[{"$f":"A4","v":"Environmental context"},0.2,-1.2000000000000002,3,-0.4,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,{"$f":"CCA!B13+SUM(B13:AA13)","v":6.6}]
[{"$f":"A5","v":"Health context"},0,0,0,0,0,0,0,0,-0.9,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,{"$f":"CCA!B14+SUM(B14:AA14)","v":2.1}]
[{"$f":"A6","v":"Political context"},1,0,0,0,0,-0.9,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,{"$f":"CCA!B15+SUM(B15:AA15)","v":5.0999999999999996}]
[{"$f":"A7","v":"Economic context"},2,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,{"$f":"CCA!B16+SUM(B16:AA16)","v":9}]
[{"$f":"A8","v":"Social context"},3,0,0,1,0,0,-0.9,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,{"$f":"CCA!B17+SUM(B17:AA17)","v":7.1}]
[{"$f":"A9","v":"Food context"},1,0,0,0,-0.4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,{"$f":"CCA!B18+SUM(B18:AA18)","v":3.6}]
["SYNTAX DO NOT CHANGE - SYNTAX DO NOT CHANGE - SYNTAX DO NOT CHANGE - SYNTAX DO NOT CHANGE - SYNTAX DO NOT CHANGE "]
["SYNTAX DO NOT CHANGE - SYNTAX DO NOT CHANGE - SYNTAX DO NOT CHANGE - SYNTAX DO NOT CHANGE - SYNTAX DO NOT CHANGE "]
["SYNTAX DO NOT CHANGE - SYNTAX DO NOT CHANGE - SYNTAX DO NOT CHANGE - SYNTAX DO NOT CHANGE - SYNTAX DO NOT CHANGE "]