2 stories matched Respect and (16-21 or 22-30) and Female and business and woman and job
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How good is this collection? (51/100) When making inferences, it is important to have many perspectives. Running
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Diverse sources: 1/100 (highest when collection contains hundreds of stories with miniminal overlap among the storytellers, named organizations, and locations)
Completeness: 94/100 (100% when every storytellers answer every question)
Diverse points of view: 70/100 (100% when there is a good balance of points of view. Personal experiences carry more weight over organization perspectrives.
Balance in story tone: 40/100 (100% if collection has a balance of positive and negative perspectives)
Your collection has a very negative tone.
There is not enough diversity to do cluster analysis for this collection.
One of these is the same (or missing) from the group:
Organization name
City
Neighborhood
Storyteller id: name or phone number
Scribe/story collector id: name or phone number
q2:I was a hocker in my town and i used to get money from that business and i was happy about my job but there came a woman who counciled me and i spoted hocking on the streets. She also started feeding me with everything that i wanted. Q3:Hockers on streets Q4:Individual Q6:Uganda Q7:Kampala Q8:Namanre Q9:Less than 2 months ago Q10:Female Q12:Was affected by what happened Q13:The right people Q15:Yes Q17:<<2012-10-16 Uganda S#618-P#01>>_ Q18:Hopeful Q19:Food and shelter,Physical Needs,Respect Q23:50 Q37:Good idea that succeeded Q38:Specific solution Q39:Physical well-being Q40:Mixed Q122:22-30 Q132:None Q133:None Q134:Individual
q2:A woman had no job and she was staying is slums houses. One time she decided to start make ice cream and taking them round to the schools. She was making them thrice per day.
These small business enable her to move from a slum to a good rental house. She is stable and continue with the business Q3:Small business Q4:Individual Q6:Kenya Q7:Trans-zoia east Q8:Musemwa Q9:1-2 years ago Q10:Female Q12:Saw it happen Q13:The right people Q15:Yes Q17:<<29-2-2012-KAYOLE/SOWETO/KIOI-S#305-P#01>>_ Q18:Hopeful Q19:Physical Needs,Knowledge,Respect Q23:89 Q37:Good idea that succeeded Q38:Specific problem Q39:Economic opportunity Q40:It requires a continuous effort Q122:22-30 Q132:-1.48333000000000 Q133:37.28333000000000 Q134:Individual
 
Found 2 records. mysql icon_filters: group_id between 0 and 5000 and q10 = 'Female' and q19 like '%Respect%' and q122 in ('16-21','22-30') and (( q2 like '%business%' and q2 like '%woman%' and q2 like '%job%' ) or ( q3 like '%business%' and q3 like '%woman%' and q3 like '%job%' ) or ( q4 like '%business%' and q4 like '%woman%' and q4 like '%job%' ) or ( q5 like '%business%' and q5 like '%woman%' and q5 like '%job%' ) or ( q6 like '%business%' and q6 like '%woman%' and q6 like '%job%' ) or ( q7 like '%business%' and q7 like '%woman%' and q7 like '%job%' ) or ( q8 like '%business%' and q8 like '%woman%' and q8 like '%job%' ) or ( q11 like '%business%' and q11 like '%woman%' and q11 like '%job%' ) or ( q17 like '%business%' and q17 like '%woman%' and q17 like '%job%' ) or ( q26 like '%business%' and q26 like '%woman%' and q26 like '%job%' ) or ( q27 like '%business%' and q27 like '%woman%' and q27 like '%job%' ) or ( q28 like '%business%' and q28 like '%woman%' and q28 like '%job%' ) or ( q29 like '%business%' and q29 like '%woman%' and q29 like '%job%' ) or ( q35 like '%business%' and q35 like '%woman%' and q35 like '%job%' ) or ( q41 like '%business%' and q41 like '%woman%' and q41 like '%job%' ) or ( q42 like '%business%' and q42 like '%woman%' and q42 like '%job%' ) or ( q43 like '%business%' and q43 like '%woman%' and q43 like '%job%' ) or ( q46 like '%business%' and q46 like '%woman%' and q46 like '%job%' ) or ( q47 like '%business%' and q47 like '%woman%' and q47 like '%job%' ) or ( q60 like '%business%' and q60 like '%woman%' and q60 like '%job%' ) or ( q65 like '%business%' and q65 like '%woman%' and q65 like '%job%' ) or ( q70 like '%business%' and q70 like '%woman%' and q70 like '%job%' ) or ( q71 like '%business%' and q71 like '%woman%' and q71 like '%job%' ) or ( q72 like '%business%' and q72 like '%woman%' and q72 like '%job%' ) or ( q73 like '%business%' and q73 like '%woman%' and q73 like '%job%' ) or ( q74 like '%business%' and q74 like '%woman%' and q74 like '%job%' ) or ( q75 like '%business%' and q75 like '%woman%' and q75 like '%job%' ) or ( q76 like '%business%' and q76 like '%woman%' and q76 like '%job%' ) or ( q77 like '%business%' and q77 like '%woman%' and q77 like '%job%' ) or ( q80 like '%business%' and q80 like '%woman%' and q80 like '%job%' ) or ( q81 like '%business%' and q81 like '%woman%' and q81 like '%job%' ) or ( q86 like '%business%' and q86 like '%woman%' and q86 like '%job%' ) or ( q87 like '%business%' and q87 like '%woman%' and q87 like '%job%' ) or ( q88 like '%business%' and q88 like '%woman%' and q88 like '%job%' ) or ( q89 like '%business%' and q89 like '%woman%' and q89 like '%job%' ) or ( q98 like '%business%' and q98 like '%woman%' and q98 like '%job%' ) or ( q99 like '%business%' and q99 like '%woman%' and q99 like '%job%' ) or ( q110 like '%business%' and q110 like '%woman%' and q110 like '%job%' ) or ( q111 like '%business%' and q111 like '%woman%' and q111 like '%job%' ) or ( q116 like '%business%' and q116 like '%woman%' and q116 like '%job%' ) or ( q117 like '%business%' and q117 like '%woman%' and q117 like '%job%' ) or ( q123 like '%business%' and q123 like '%woman%' and q123 like '%job%' ) or ( q125 like '%business%' and q125 like '%woman%' and q125 like '%job%' ) or ( q132 like '%business%' and q132 like '%woman%' and q132 like '%job%' ) or ( q133 like '%business%' and q133 like '%woman%' and q133 like '%job%' ) or ( q134 like '%business%' and q134 like '%woman%' and q134 like '%job%' ) or ( q135 like '%business%' and q135 like '%woman%' and q135 like '%job%' ) or ( q136 like '%business%' and q136 like '%woman%' and q136 like '%job%' ) or ( q138 like '%business%' and q138 like '%woman%' and q138 like '%job%' ) or ( q141 like '%business%' and q141 like '%woman%' and q141 like '%job%' ) or ( q142 like '%business%' and q142 like '%woman%' and q142 like '%job%' ) or ( q151 like '%business%' and q151 like '%woman%' and q151 like '%job%' )) LIMIT 4000; filter_questions ['q10', 'q19', 'q122'] merge:ignore A[kTf4ninsKeuu]:SUCCESS: 1 rows inserted. not enough values to unpack (expected 3, got 2)