Comments (3)
Old Query:
with latest_program_eligibility_encounter as (
select
s.id student_id,
pel."Programs interested in" as programs_interested_in,
pel."HCL TechBee Status-Old" as hcl_techbee_status,
pel."Masai School Status" as masai_status,
pel."TechM - Status" as techm_status,
pel."NavGurkul - Status" as navgurukul_status,
pel."MagicB - Status" as magic_billion_status,
row_number() over (partition by pel.individual_id order by pel.encounter_date_time desc nulls last) as visit_number
from lahi.student s
inner join lahi.student_program_eligibility pel on pel.individual_id = s.id
),
programs_interested_state_wise AS (
SELECT DISTINCT UNNEST(string_to_array(pel."Programs interested in", ', ')) AS programs,
a."State" state
from lahi.student s
left join lahi.student_program_eligibility pel on pel.individual_id = s.id
inner join lahi.address a on a.id = s.address_id
),
latest_hcl_techbee_encounter as (
select
s.id student_id,
enc."HCL TechBee Status" as hcl_techbee_status,
row_number() over (partition by enc.individual_id order by enc.encounter_date_time desc nulls last) as visit_number
from lahi.student s
inner join lahi.student_hcl_techbee enl on enl.individual_id = s.id
inner join lahi.student_hcl_techbee_hcl_techbee_encounter enc on enc.individual_id = s.id
),
latest_masai_school_encounter as (
select
s.id student_id,
enc."MasaiSchool status" masai_school_status,
row_number() over (partition by enc.individual_id order by enc.encounter_date_time desc nulls last) as visit_number
from lahi.student s
inner join lahi.student_masai_school enl on enl.individual_id = s.id
inner join lahi.student_masai_school_masai_school_followup enc on enc.individual_id = s.id
),
latest_techm_encounter as (
select
s.id student_id,
enc."Tech Mahindra Status" techm_status,
row_number() over (partition by enc.individual_id order by enc.encounter_date_time desc nulls last) as visit_number
from lahi.student s
inner join lahi.student_techmahindra enl on enl.individual_id = s.id
inner join lahi.student_techmahindra_techmahindra_followup enc on enc.individual_id = s.id
),
latest_navgurukul_encounter as (
select
s.id student_id,
enc."NavGurukul Status" navgurukul_status,
row_number() over (partition by enc.individual_id order by enc.encounter_date_time desc nulls last) as visit_number
from lahi.student s
inner join lahi.student_navgurukul enl on enl.individual_id = s.id
inner join lahi.student_navgurukul_navgurukul_followup enc on enc.individual_id = s.id
),
latest_magic_b_encounter as (
select
s.id student_id,
enc."Magic billion status" magic_billion_status,
row_number() over (partition by enc.individual_id order by enc.encounter_date_time desc nulls last) as visit_number
from lahi.student s
inner join lahi.student_magic_billion enl on enl.individual_id = s.id
inner join lahi.student_magic_billion_magic_billion_encounter enc on enc.individual_id = s.id
)
select
a."State" ,
count(distinct s.id) filter (where s.gender = 'Female') as "Total females registered",
count(distinct s.id) filter (where s.gender = 'Male') as "Total males registered",
count(distinct s.id) filter (where s.gender = 'Other') as "Total other registered",
count(distinct s.id) as "Total students registered",
count(distinct s.id) filter (where s.gender = 'Female' and s."User" = 'Vindhya Team' and s."Status" = 'Completed') as "Vindhya survey completed for females",
count(distinct s.id) filter (where s.gender = 'Male' and s."User" = 'Vindhya Team' and s."Status" = 'Completed') as "Vindhya survey completed for males",
count(distinct s.id) filter (where s.gender = 'Other' and s."User" = 'Vindhya Team' and s."Status" = 'Completed') as "Vindhya survey completed for others",
count(distinct s.id) filter (where s."User" = 'Vindhya Team' and s."Status" = 'Completed') as "Total Vindhya survey completed",
count(distinct s.id) filter (where s.gender = 'Female' and s."User" = 'Vindhya Team' and s."Status" = 'Inprogress/Ongoing') as "Vindhya survey Inprogress/Ongoing for females",
count(distinct s.id) filter (where s.gender = 'Male' and s."User" = 'Vindhya Team' and s."Status" = 'Inprogress/Ongoing') as "Vindhya survey Inprogress/Ongoing for males",
count(distinct s.id) filter (where s.gender = 'Other' and s."User" = 'Vindhya Team' and s."Status" = 'Inprogress/Ongoing') as "Vindhya survey Inprogress/Ongoing for others",
count(distinct s.id) filter (where s."User" = 'Vindhya Team' and s."Status" = 'Inprogress/Ongoing') as "Total Vindhya survey Inprogress/Ongoing",
count(distinct s.id) filter (where s.gender = 'Female' and s."User" = 'Vindhya Team' and s."Status" = 'Dropped out') as "Vindhya survey Dropped out for females",
count(distinct s.id) filter (where s.gender = 'Male' and s."User" = 'Vindhya Team' and s."Status" = 'Dropped out') as "Vindhya survey Dropped out for males",
count(distinct s.id) filter (where s.gender = 'Other' and s."User" = 'Vindhya Team' and s."Status" = 'Dropped out') as "Vindhya survey Dropped out for others",
count(distinct s.id) filter (where s."User" = 'Vindhya Team' and s."Status" = 'Dropped out') as "Total Vindhya survey Dropped out",
count(distinct s.id) filter (where s.gender = 'Female' and usa.user_id is not null) as "Volunteers assigned to females",
count(distinct s.id) filter (where s.gender = 'Male' and usa.user_id is not null) as "Volunteers assigned to males",
count(distinct s.id) filter (where s.gender = 'Other' and usa.user_id is not null) as "Volunteers assigned to others",
count(distinct s.id) filter (where usa.user_id is not null) as "Total Volunteers assigned",
count(distinct pisw.programs) as "Programs interested in",
count(distinct s.id) filter (where s.gender = 'Female' and pel.programs_interested_in is not null) as "No. of females assigned to programs",
count(distinct s.id) filter (where s.gender = 'Male' and pel.programs_interested_in is not null) as "No. of males assigned to programs",
count(distinct s.id) filter (where s.gender = 'Other' and pel.programs_interested_in is not null) as "No. of others assigned to programs",
count(distinct s.id) filter (where pel.programs_interested_in is not null) as "Total students assigned to programs",
count(distinct s.id) filter (where s.gender = 'Female' and 'Applied' in (hcl.hcl_techbee_status,masai.masai_school_status,
techm.techm_status,nav.navgurukul_status,magic.magic_billion_status, pel.programs_interested_in) ) as "Applied females",
count(distinct s.id) filter (where s.gender = 'Male' and 'Applied' in (hcl.hcl_techbee_status,masai.masai_school_status,
techm.techm_status,nav.navgurukul_status,magic.magic_billion_status, pel.programs_interested_in) ) as "Applied males",
count(distinct s.id) filter (where s.gender = 'Other' and 'Applied' in (hcl.hcl_techbee_status,masai.masai_school_status,
techm.techm_status,nav.navgurukul_status,magic.magic_billion_status, pel.programs_interested_in) ) as "Applied others",
count(distinct s.id) filter (where 'Applied' in (hcl.hcl_techbee_status,masai.masai_school_status,
techm.techm_status,nav.navgurukul_status,magic.magic_billion_status, pel.programs_interested_in) ) as "Total applied students",
count(distinct s.id) filter (where s.gender = 'Female' and 'In process' in (hcl.hcl_techbee_status,masai.masai_school_status,
techm.techm_status,nav.navgurukul_status,magic.magic_billion_status, pel.programs_interested_in) ) as "In process females",
count(distinct s.id) filter (where s.gender = 'Male' and 'In process' in (hcl.hcl_techbee_status,masai.masai_school_status,
techm.techm_status,nav.navgurukul_status,magic.magic_billion_status, pel.programs_interested_in) ) as "In process males",
count(distinct s.id) filter (where s.gender = 'Other' and 'In process' in (hcl.hcl_techbee_status,masai.masai_school_status,
techm.techm_status,nav.navgurukul_status,magic.magic_billion_status, pel.programs_interested_in) ) as "In process others",
count(distinct s.id) filter (where 'In process' in (hcl.hcl_techbee_status,masai.masai_school_status,
techm.techm_status,nav.navgurukul_status,magic.magic_billion_status, pel.programs_interested_in) ) as "Total In process students",
count(distinct s.id) filter (where s.gender = 'Female' and 'Selected' in (hcl.hcl_techbee_status,masai.masai_school_status,
techm.techm_status,nav.navgurukul_status,magic.magic_billion_status, pel.programs_interested_in) ) as "Selected females",
count(distinct s.id) filter (where s.gender = 'Male' and 'Selected' in (hcl.hcl_techbee_status,masai.masai_school_status,
techm.techm_status,nav.navgurukul_status,magic.magic_billion_status, pel.programs_interested_in) ) as "Selected males",
count(distinct s.id) filter (where s.gender = 'Other' and 'Selected' in (hcl.hcl_techbee_status,masai.masai_school_status,
techm.techm_status,nav.navgurukul_status,magic.magic_billion_status, pel.programs_interested_in) ) as "Selected others",
count(distinct s.id) filter (where 'Selected' in (hcl.hcl_techbee_status,masai.masai_school_status,
techm.techm_status,nav.navgurukul_status,magic.magic_billion_status, pel.programs_interested_in) ) as "Total Selected students",
count(distinct s.id) filter (where s.gender = 'Female' and 'Rejected' in (hcl.hcl_techbee_status,masai.masai_school_status,
techm.techm_status,nav.navgurukul_status,magic.magic_billion_status, pel.programs_interested_in) ) as "Rejected females",
count(distinct s.id) filter (where s.gender = 'Male' and 'Rejected' in (hcl.hcl_techbee_status,masai.masai_school_status,
techm.techm_status,nav.navgurukul_status,magic.magic_billion_status, pel.programs_interested_in) ) as "Rejected males",
count(distinct s.id) filter (where s.gender = 'Other' and 'Rejected' in (hcl.hcl_techbee_status,masai.masai_school_status,
techm.techm_status,nav.navgurukul_status,magic.magic_billion_status, pel.programs_interested_in) ) as "Rejected others",
count(distinct s.id) filter (where 'Rejected' in (hcl.hcl_techbee_status,masai.masai_school_status,
techm.techm_status,nav.navgurukul_status,magic.magic_billion_status, pel.programs_interested_in) ) as "Total Rejected students",
count(distinct s.id) filter (where s.gender = 'Female' and 'Dropped Out / Not Interested Anymore' in (hcl.hcl_techbee_status,masai.masai_school_status,
techm.techm_status,nav.navgurukul_status,magic.magic_billion_status, pel.programs_interested_in) ) as "Dropped Out / Not Interested females",
count(distinct s.id) filter (where s.gender = 'Male' and 'Dropped Out / Not Interested Anymore' in (hcl.hcl_techbee_status,masai.masai_school_status,
techm.techm_status,nav.navgurukul_status,magic.magic_billion_status, pel.programs_interested_in) ) as "Dropped Out / Not Interested males",
count(distinct s.id) filter (where s.gender = 'Other' and 'Dropped Out / Not Interested Anymore' in (hcl.hcl_techbee_status,masai.masai_school_status,
techm.techm_status,nav.navgurukul_status,magic.magic_billion_status, pel.programs_interested_in) ) as "Dropped Out / Not Interested others",
count(distinct s.id) filter (where 'Dropped Out / Not Interested Anymore' in ( hcl.hcl_techbee_status, masai.masai_school_status, techm.techm_status,
nav.navgurukul_status, magic.magic_billion_status, pel.programs_interested_in) ) as "Total Dropped Out / Not Interested students"
from lahi.student s
inner join lahi.address a on a.id = s.address_id
left join user_subject_assignment usa on usa.subject_id = s.id
left join latest_program_eligibility_encounter pel on pel.student_id = s.id and pel.visit_number = 1
left join latest_hcl_techbee_encounter hcl on hcl.student_id = s.id and hcl.visit_number = 1
left join latest_masai_school_encounter masai on masai.student_id = s.id and masai.visit_number = 1
left join latest_techm_encounter techm on techm.student_id = s.id and techm.visit_number = 1
left join latest_navgurukul_encounter nav on nav.student_id = s.id and nav.visit_number = 1
left join latest_magic_b_encounter magic on magic.student_id = s.id and magic.visit_number = 1
left join programs_interested_state_wise pisw on pisw.state = a."State"
where s.is_voided is false
group by 1;
from lahi.
Link to the report pointing to the prerelease db - Click here
from lahi.
from lahi.
Related Issues (20)
- After 3.38.1 release, update message rule HOT 1
- After 3.39 release, remove workarounds HOT 1
- Alumini status not updating
- issue in visit HOT 2
- [LAHI] Set-up new UAT org
- Offline dashboard report optimisation HOT 3
- F-TV student count not updating in Metabase
- [LAHI] Partner, Volunteer and Total Student report
- [LAHI] Partner Report - TechM HOT 1
- [LAHI] Partner Report - Masai School Program HOT 1
- [LAHI] Partner report - Magic Billion Program HOT 1
- [LAHI] Partner, Volunteer and Total Student Report
- [LAHI] Partner, Volunteer and Total Student Report HOT 6
- [LAHI] Karigar - Student Report HOT 5
- Data Migration and Modification support for Karigar program to LAHI team HOT 5
- [LAHI Support] Add program filter for offline dashboards HOT 3
- [LAHI Support] Some help in fixing existing rules HOT 1
- LAHI | Program- State Report | Changes HOT 1
- [RFT] Cannot read property 'name' of undefined HOT 2
Recommend Projects
-
React
A declarative, efficient, and flexible JavaScript library for building user interfaces.
-
Vue.js
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
-
Typescript
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
-
TensorFlow
An Open Source Machine Learning Framework for Everyone
-
Django
The Web framework for perfectionists with deadlines.
-
Laravel
A PHP framework for web artisans
-
D3
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
-
Recommend Topics
-
javascript
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
-
web
Some thing interesting about web. New door for the world.
-
server
A server is a program made to process requests and deliver data to clients.
-
Machine learning
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
-
Visualization
Some thing interesting about visualization, use data art
-
Game
Some thing interesting about game, make everyone happy.
Recommend Org
-
Facebook
We are working to build community through open source technology. NB: members must have two-factor auth.
-
Microsoft
Open source projects and samples from Microsoft.
-
Google
Google ❤️ Open Source for everyone.
-
Alibaba
Alibaba Open Source for everyone
-
D3
Data-Driven Documents codes.
-
Tencent
China tencent open source team.
from lahi.