1 stories matched Under 16 and Fun and Female and 'clean water'
Your search did not match enough stories to do a complete analysis. Only basic information is showing.
How good is this collection? (56/100) When making inferences, it is important to have many perspectives. Running
our story quality test will measure this using the diversity of story collectors, named organizations,
locations, and the balance in story point of view and tone to estimate the collection's suitability for meta-analysis.
Each component of the score is between 0 and 100, with 100 being the best and 0 being the worst.
Diverse sources: 1/100 (highest when collection contains hundreds of stories with miniminal overlap among the storytellers, named organizations, and locations)
Completeness: 96/100 (100% when every storytellers answer every question)
Diverse points of view: 60/100 (100% when there is a good balance of points of view. Personal experiences carry more weight over organization perspectrives.
Balance in story tone: 68/100 (100% if collection has a balance of positive and negative perspectives)
Your collection has a 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:In our community their are so many people living in the slum like kibera slums many children have been helped to go back to school.The slum have changed now. because they have helped them.They have even build a school called slum care academy the pupils are learning now without any Problem they have food to eat clean water to drink and even books to write on.
Many pupils have said thanks to the project which is helping them.They were street children but now they are in school they have everything in the school has changed from the start to the end.For now the school is growing up with many pupils in the school are happy for what they have helped for so long. Q3:EDUCATION FOR SLUMS Q4:CARE KENYA Q6:Kenya Q7:Nirobi Q8:Kibera mashimoni Q9:1-2 years ago Q10:Female Q12:Helped make it happen Q13:The right people Q15:Yes Q17:hezekaiya ogira @yahoo.com
<<2012-04-20-KIBERA-S#040-P#01>>_ Q18:Hopeful Q19:Physical Needs,Knowledge,Fun Q23:33 Q37:Good idea that succeeded Q38:Mixed Q39:Social relations Q40:Lasting change Q122:Under 16 Q132:-1.31241250000000 Q133:36.79061840000000 Q134:CARE KENYA
 
"'clean water' changed to \\'clean water\\'" "'clean water' changed to \\'clean water\\'" "'clean water' changed to \\'clean water\\'" "'clean water' changed to \\'clean water\\'" "'clean water' changed to \\'clean water\\'" "'clean water' changed to \\'clean water\\'" "'clean water' changed to \\'clean water\\'" "'clean water' changed to \\'clean water\\'" "'clean water' changed to \\'clean water\\'" "'clean water' changed to \\'clean water\\'" "'clean water' changed to \\'clean water\\'" "'clean water' changed to \\'clean water\\'" "'clean water' changed to \\'clean water\\'" "'clean water' changed to \\'clean water\\'" "'clean water' changed to \\'clean water\\'" "'clean water' changed to \\'clean water\\'" "'clean water' changed to \\'clean water\\'" "'clean water' changed to \\'clean water\\'" "'clean water' changed to \\'clean water\\'" "'clean water' changed to \\'clean water\\'" "'clean water' changed to \\'clean water\\'" "'clean water' changed to \\'clean water\\'" "'clean water' changed to \\'clean water\\'" "'clean water' changed to \\'clean water\\'" "'clean water' changed to \\'clean water\\'" "'clean water' changed to \\'clean water\\'" "'clean water' changed to \\'clean water\\'" "'clean water' changed to \\'clean water\\'" "'clean water' changed to \\'clean water\\'" "'clean water' changed to \\'clean water\\'" "'clean water' changed to \\'clean water\\'" "'clean water' changed to \\'clean water\\'" "'clean water' changed to \\'clean water\\'" "'clean water' changed to \\'clean water\\'" "'clean water' changed to \\'clean water\\'" "'clean water' changed to \\'clean water\\'" "'clean water' changed to \\'clean water\\'" "'clean water' changed to \\'clean water\\'" "'clean water' changed to \\'clean water\\'" "'clean water' changed to \\'clean water\\'" "'clean water' changed to \\'clean water\\'" "'clean water' changed to \\'clean water\\'" "'clean water' changed to \\'clean water\\'" "'clean water' changed to \\'clean water\\'" "'clean water' changed to \\'clean water\\'" "'clean water' changed to \\'clean water\\'" "'clean water' changed to \\'clean water\\'" "'clean water' changed to \\'clean water\\'" "'clean water' changed to \\'clean water\\'" "'clean water' changed to \\'clean water\\'" "'clean water' changed to \\'clean water\\'" "'clean water' changed to \\'clean water\\'" Found 1 records. mysql icon_filters: group_id between 0 and 5000 and q10 = 'Female' and q19 like '%Fun%' and q122 = 'Under 16' and (( q2 like '%clean water%' ) or ( q3 like '%clean water%' ) or ( q4 like '%clean water%' ) or ( q5 like '%clean water%' ) or ( q6 like '%clean water%' ) or ( q7 like '%clean water%' ) or ( q8 like '%clean water%' ) or ( q11 like '%clean water%' ) or ( q17 like '%clean water%' ) or ( q26 like '%clean water%' ) or ( q27 like '%clean water%' ) or ( q28 like '%clean water%' ) or ( q29 like '%clean water%' ) or ( q35 like '%clean water%' ) or ( q41 like '%clean water%' ) or ( q42 like '%clean water%' ) or ( q43 like '%clean water%' ) or ( q46 like '%clean water%' ) or ( q47 like '%clean water%' ) or ( q60 like '%clean water%' ) or ( q65 like '%clean water%' ) or ( q70 like '%clean water%' ) or ( q71 like '%clean water%' ) or ( q72 like '%clean water%' ) or ( q73 like '%clean water%' ) or ( q74 like '%clean water%' ) or ( q75 like '%clean water%' ) or ( q76 like '%clean water%' ) or ( q77 like '%clean water%' ) or ( q80 like '%clean water%' ) or ( q81 like '%clean water%' ) or ( q86 like '%clean water%' ) or ( q87 like '%clean water%' ) or ( q88 like '%clean water%' ) or ( q89 like '%clean water%' ) or ( q98 like '%clean water%' ) or ( q99 like '%clean water%' ) or ( q110 like '%clean water%' ) or ( q111 like '%clean water%' ) or ( q116 like '%clean water%' ) or ( q117 like '%clean water%' ) or ( q123 like '%clean water%' ) or ( q125 like '%clean water%' ) or ( q132 like '%clean water%' ) or ( q133 like '%clean water%' ) or ( q134 like '%clean water%' ) or ( q135 like '%clean water%' ) or ( q136 like '%clean water%' ) or ( q138 like '%clean water%' ) or ( q141 like '%clean water%' ) or ( q142 like '%clean water%' ) or ( q151 like '%clean water%' )) LIMIT 4000; filter_questions ['q10', 'q19', 'q122'] merge:ignore A[0ASmcBl1PMEJ]:SUCCESS: 1 rows inserted. not enough values to unpack (expected 3, got 2)