7 stories matched (16-21 or 22-30) 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? (50/100) 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: 6/100 (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: 0/100 (100% when there is a good balance of points of view. Personal experiences carry more weight over organization perspectrives.
Balance in story tone: 99/100 (100% if collection has a balance of positive and negative perspectives)
Your collection has a neutral tone.
1 distinct clusters within this collection: 1 - (Uncategorized) - 7 stories
q2:There are several social challenges affecting residents of mathare.
The population is so high yet they have to brace and fight for the few resources that are within their reach most challenges faced in mathare are loud of clean water, poor sanitation, lack of proper defined streets, diseases, insecurity, pollution, tribilism and many others.
Although there are several Ngo's that have come up to help reduce the challenges fanced by the mathare residents, it is still a challenges because the population keeps rising day in day out and people keep hesing their jobs. Q3:SOCIAL CHALLANGES IN MATHARE Q4:SOCIAL CHALLANGES Q6:KENYA Q7:NAIROBI Q8:MATHARE 4A Q9:2-6 months ago Q10:Female Q12:Saw it happen Q13:The right people Q15:No Q17:[HORIZON] Question 7,3- not answered<<2012-11-27-KIBERA-S#628-P#01>>_ Q18:Disappointed Q19:Knowledge,Creativity,Fun Q23:50 Q37:Good idea that succeeded Q38:Specific problem Q39:Economic opportunity Q40:Mixed Q122:16-21 Q132:None Q133:None Q134:None
q2:Manyole village did not have anything like clean water. these made it difficult for the people to take care of themselves against typhoid. These made the people to waste most of their time and money in the hospitals. As days went by the villagers decided to complain to the office of the chief. There cries were heard when the teachers decided to donate money to pay for the construction of clean water in the village Q3:THE CLEAN WATER Q4:INDIVIDUAL Q6:Kenya Q7:BUSIA Q8:Busia Q9:2-6 months ago Q10:Female Q12:Saw it happen Q13:The right people Q15:Yes Q17:<<2012-06-15-BUSIA-S#331-P#01>>_ Q18:Inspired Q19:Physical Needs,Self-esteem,Fun Q23:50 Q37:Good idea that succeeded Q38:Specific problem Q39:Social relations Q40:Mixed Q122:22-30 Q132:None Q133:None Q134:Individual
q2:The project was established to supply clean water in villages. It helped in construction of water resources like tanks where clean water can be trapped and kept.
The project has also grown employment to the people in village like builders who construct the tanks.
This helped people to improve on their standards of living because clean water is a basic need of life. Q3:WATER IS LIFE Q4:LGDP Q6:Uganda Q7:Gulu Q8:Pali Q9:2-6 months ago Q10:Female Q12:Helped make it happen Q13:The right people Q15:Yes Q17:<<2012-12-21-UGANDA-S#939-P#01>
_ Q18:Happy Q19:Knowledge,Self-esteem,Fun Q23:50 Q37:Good idea that succeeded Q38:Specific solution Q39:Social relations Q40:It requires a continuous effort Q122:22-30 Q132:None Q133:None Q134:None
q2:The project was formed to construct boreholes and ensuring clean water supply. The project also teaches the people about the importance of having clean water in the area.
It also encourages people to clean their jerrycans and other things where they keep water. Hence enhancing sanitation Q3:SANITATION AND CLEAN WATER Q4:BUSOGA WATER AID PROJECT Q6:Uganda Q7:Gulu Q8:Pali Q9:2-6 months ago Q10:Female Q12:Helped make it happen Q13:The right people Q15:Yes Q17:<<2012-12-21-UGANDA-S#934-P#01>
_ Q18:Happy Q19:Knowledge,Self-esteem,Fun Q23:52 Q37:Good idea that succeeded Q38:Specific solution Q39:Social relations Q40:It requires a continuous effort Q122:22-30 Q132:None Q133:None Q134:C.T.
q2:World vision constructed not only a house for the family of Byarulanga John (16) an orphan at Nyamyobore but also constructed and protected over ten spring will in the community. This was after seeing out lack of clean water in the community. Q3:HELPING NEEDY COMMUNITY Q4:WORLD VISION Q6:Uganda Q7:Mbarara Q8:Ishiiro Q9:1-2 years ago Q10:Female Q12:Saw it happen Q13:The right people Q15:Yes Q17:<<2012-05-03-UGANDA-S#676-P#01>>_ Q18:Happy Q19:Knowledge,Self-esteem,Fun Q23:95 Q37:Good idea that succeeded Q38:Mixed Q39:Mixed Q40:Lasting change Q122:22-30 Q132:-0.60800000000000 Q133:30.65000000000000 Q134:World Vision
q2:Two bore holes had been constructed at Kigera village in Kiboga Districtic to provide water to the natives who had been experiencing water problems.However due to mishandling they were all damagoes and people couldn't access again water.Though it was also to benefit Bright stars primary school rennovated and repaired them enabling community to reaccess clean water. Q3:REPAIRING BOREHOLES Q4:BRIGHT STAR PRIMARY SCHOOL Q5:clean, due, problems, provide, access Q6:UGANDA Q7:KIBOGA Q8:KIGERA Q9:7-12 months ago Q10:Female Q12:Heard about it happening Q13:The right people Q15:Yes Q17:<<11-12-2011-CEPO-S#030-P#01>>_ Q18:Inspired Q19:Knowledge,Creativity,Fun Q23:6 Q37:Good idea that succeeded Q38:Mixed Q39:Mixed Q40:Mixed Q122:22-30 Q132:-1.32614600000000 Q133:36.77880700000000 Q134:THE STUDENTS
q2:When the community is weak,the country is also weak. When the children are not cared for,the community faces high crime rate.UNESCO knew this and found ways of changing the above statements.
The organisation assists children to support them whil in school with school fees,requirements an many other ways.It also provides clean water to the communities in which it performes its duties. Q3:HELPING THE COMMUNITY Q4:UNESCO Q6:UGANDA Q7:WAKISO Q8:KASANGATI Q9:1-2 years ago Q10:Female Q12:Saw it happen Q13:The right people Q15:Yes Q17:<<28/10/11-UGANDA-P#001-S#378>>_ Q18:Inspired Q19:Knowledge,Creativity,Fun Q37:Good idea that succeeded Q38:Specific problem Q39:Physical well-being Q40:Mixed Q122:16-21 Q132:0.43806000000000 Q133:32.58639000000000 Q134:Unesco
 
"'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 7 records. mysql icon_filters: group_id between 0 and 5000 and q10 = 'Female' and q19 like '%Fun%' and q122 in ('16-21','22-30') 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[Z5fjszTSXYHo]:SUCCESS: 1 rows inserted. not enough values to unpack (expected 3, got 2)