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cQube Schemas

Details out the schemas of events and dimensions for all programs in which cQube Ed V 5.0 ingests data
cQube requires 2 types of schemas for the programs that need to be enabled:

Event Schema

There are 3 state programs available in cQube v5.0 for which the event schema needs to be ingested by the cQube adopter:
The schemas for national programs (UDISE, PGI, PM POSHAN, NAS, DIKSHA, NISHTHA) can be accessed here.
Note: There could be some common errors in the files which could lead to unsuccessful data ingestion into cQube. Look at these errors here and resolve them before ingesting data into cQube.

Student Attendance:

This program entails indicators to monitor compliance and performance of student attendance. Following are the reports within this program.
  1. 1.
    Student Attendance Compliance: This report shows the compliance of student attendance being marked in the schools. A school is counted as attendance-compliant when attendance of more than 50% of the students in the school is marked on a particular date.
  2. 2.
    Student Attendance Summary: This report shows the summary of students being present in the schools (out of the ones being marked).
Following schema will be required to enable the student attendance program:
If CSV is being ingested, the file name should be -> studentsattendance-event.data.csv
#
Column Name
Data Type
Description
Validation
1
date
string
Date when the data was recorded
YYYY-MM-DD format to be used
2
district_id
string
Unique ID of the district as per the dimension table
NA
3
block_id
string
Unique ID of the block as per the dimension table
NA
4
cluster_id
string
Unique ID of the cluster as per the dimension table
NA
5
school_id
string
Unique ID of the school as per the dimension table
NA
6
grade
string
Grade for which the data is being entered
NA
7
schoolcategory_id
string
Category_id which the school ID belongs to as per the dimension table
NA
8
gender
string
Gender for which data is being entered
NA
9
total_students
string
Total number of students
NA
10
students_attendance_marked
string
Total number of students whose attendance was marked
NA
11
students_marked_present
string
Total number of students who were present in the class
NA
​Here is the upload template for this schema. You can use this template to fill the state data and upload it into cQube. Here is the sample template for this schema to see the kind of data and template in which cQube will accept data.

Teacher Attendance:

This program entails indicators to monitor compliance and performance of teacher attendance. Following are the reports within this program:
  • Teacher Attendance Compliance: This report shows the compliance of attendance being marked by teachers.
  • Teacher Attendance Summary: This report shows the summary of teachers being present in the school (out of the ones marking their attendance).
Following schema will be required to enable the teacher attendance program:
If CSV is being ingested, the file name should be -> teachersattendance-event.data.csv
#
Column Name
Data Type
Description
Validation
1
date
string
Date when the data was recorded
YYYY-MM-DD format to be used
2
district_id
string
Unique ID of the district as per the dimension table
NA
3
block_id
string
Unique ID of the block as per the dimension table
NA
4
cluster_id
string
Unique ID of the cluster as per the dimension table
NA
5
school_id
string
Unique ID of the school as per the dimension table
NA
6
schoolcategory_id
string
Category_id which the school ID belongs to as per the dimension table
NA
7
grade
string
Grade for which the data is being entered
NA
8
total_teachers
string
Total number of teachers
NA
9
teachers_attendance_marked
string
Total number of teachers whose attendance was marked
NA
10
teachers_marked_present
string
Total number of teachers who were present
NA
​Here is the upload template for this schema. You can use this template to fill the state data and upload it into cQube. Here is the sample template for this schema to see the kind of data and template in which cQube will accept data.

Review Meetings:

This program entails indicators to monitor compliance of monthly review meetings being conducted at all levels.
Following schema will be required to enable the review meetings program:
  1. 1.
    For district review meetings:
If CSV is being ingested, the file name should be -> district-event.data.csv
#
Column Name
Data Type
Description
Validation
1
date
string
Date of the meeting conducted at the district
YYYY-MM-DD format to be used
2
district_id
string
Unique ID of the district as per the dimension table
NA
3
academicyear_id
string
Unique ID of the academic year as per the dimension table
NA
4
meeting_conducted
string
Whether the meeting is conducted or not
1, 0
  1. 2.
    For block review meetings:
If CSV is being ingested, the file name should be -> block-event.data.csv
#
Column Name
Data Type
Description
Validation
1
date
string
Date of the meeting conducted at the block
YYYY-MM-DD format to be used
2
block_id
string
Unique ID of the block as per the dimension table
NA
3
district_id
string
Unique ID of the district as per the dimension table
NA
4
academicyear_id
string
Unique ID of the academic year as per the dimension table
NA
5
meeting_conducted
string
Whether meeting is conducted or not
1, 0
  1. 3.
    For cluster review meetings:
If CSV is being ingested, the file name should be -> cluster-event.data.csv
#
Column Name
Data Type
Description
Validation
1
date
string
Date of the meeting conducted at the cluster
YYYY-MM-DD format to be used
2
cluster_id
string
Unique ID of the cluster as per the dimension table
NA
3
block_id
string
Unique ID of the block as per the dimension table
NA
4
district_id
string
Unique ID of the district as per the dimension table
NA
5
academicyear_id
string
Unique ID of the academic year as per the dimension table
NA
6
meeting_conducted
string
Whether meeting is conducted or not
1, 0
​Here is the upload template for this schema. You can use this template to fill the state data and upload it into cQube. Here is the sample template for this schema to see the kind of data and template in which cQube will accept data.

Dimension Schema

For all the state programs, some dimensions (master data) will need to be ingested by the cQube adopter as well.
There are 8 dimensions for which the data needs to be ingested by the cQube adopter in order to get the state programs:

State Dimension:

This is the data for the particular state.
If CSV is being ingested, the file name should be -> state-dimension.data.csv
#
Column Name
Data Type
Description
Validation
1
state_id
string
Unique ID in the table
NA
2
state_name
string
Name of the state
NA
3
latitude
string
Latitude of the state
NA
4
longitude
string
Longitude of the state
NA
​Here is the upload template for this schema. You can use this template to fill the state data and upload it into cQube. Here is the sample template for this schema to see the kind of data and template in which cQube will accept data.

District Dimension:

This is the data for all districts in the state.
If CSV is being ingested, the file name should be -> district-dimension.data.csv
#
Column Name
Data Type
Description
Validation
1
state_id
string
Unique ID in the table
NA
2
state_name
string
Name of the state
NA
3
district_id
string
Unique ID in the district
NA
4
district_name
string
Name of the district
NA
5
latitude
string
Latitude of the district
NA
6
longitude
string
Longitude of the district
NA
​Here is the upload template for this schema. You can use this template to fill the state data and upload it into cQube. Here is the sample template for this schema to see the kind of data and template in which cQube will accept data.

Block Dimension:

This is the data for all blocks and districts in the state.
If CSV is being ingested, the file name should be -> block-dimension.data.csv
#
Column Name
Data Type
Description
Validation
1
district_id
string
Unique ID in the district
NA
2
district_name
string
Name of the district
NA
3
block_id
string
Unique ID in the block
NA
4
block_name
string
Name of the block
NA
5
latitude
string
Latitude of the block
NA
6
longitude
string
Longitude of the block
NA
​Here is the upload template for this schema. You can use this template to fill the state data and upload it into cQube. Here is the sample template for this schema to see the kind of data and template in which cQube will accept data.

Cluster Dimension:

This is the data for all clusters, blocks and districts in the state.
If CSV is being ingested, the file name should be -> cluster-dimension.data.csv
#
Column Name
Data Type
Description
Validation
1
district_id
string
Unique ID in the district
NA
2
district_name
string
Name of the district
NA
3
block_id
string
Unique ID in the block
NA
4
block_name
string
Name of the block
NA
5
cluster_id
string
Unique ID in the cluster
NA
6
cluster_name
string
Name of the cluster
NA
7
latitude
string
Latitude of the cluster
NA
8
longitude
string
Longitude of the cluster
NA
​Here is the upload template for this schema. You can use this template to fill the state data and upload it into cQube. Here is the sample template for this schema to see the kind of data and template in which cQube will accept data.

School Dimension:

This is the data for all schools, clusters, blocks and districts in the state.
If CSV is being ingested, the file name should be -> school-dimension.data.csv
#
Column Name
Data Type
Description
Validation
1
district_id
string
Unique ID in the district
NA
2
district_name
string
Name of the district
NA
3
block_id
string
Unique ID in the block
NA
4
block_name
string
Name of the block
NA
5
cluster_id
string
Unique ID in the cluster
NA
6
cluster_name
string
Name of the cluster
NA
7
school_id
string
Unique ID in the school
NA
8
school_name
string
Name of the school
NA
9
schoolcategory_id
string
ID of the school category for the respective school
NA
10
grade_id
string
ID of the grade present in the school
NA
11
latitude
string
Latitude of the school
NA
12
longitude
string
Longitude of the school
NA
​Here is the upload template for this schema. You can use this template to fill the state data and upload it into cQube. Here is the sample template for this schema to see the kind of data and template in which cQube will accept data.

School Category Dimension:

This is the data for categories of schools present in the state (Eg: Primary, Upper Primary, Secondary, Senior Secondary or any other kind of category).
If CSV is being ingested, the file name should be -> schoolcategory-dimension.data.csv
#
Column Name
Data Type
Description
Validation
1
schoolcategory_id
string
Unique ID of the school category
NA
2
schoolcategory_name
string
Name of the school category
NA
3
grades
string
Array of grades available in the respective school category
NA
​Here is the upload template for this schema. You can use this template to fill the state data and upload it into cQube. Here is the sample template for this schema to see the kind of data and template in which cQube will accept data.

Grade Dimension:

This is the data for grades present in schools in the state (Eg: 1, 2, 3, 4, 5 or any other grades present in the state).
If CSV is being ingested, the file name should be -> grade-dimension.data.csv
#
Column Name
Data Type
Description
Validation
1
grade_id
string
Unique ID of the grade
NA
4
grade
string
Grade as per what is followed in the state
NA
Note: The grade column will consist of the master values from the state data, DIKSHA Data and NAS Data.
​Here is the upload template for this schema. You can use this template to fill the state data and upload it into cQube. Here is the sample template for this schema to see the kind of data and template in which cQube will accept data.

Gender Dimension:

This is the master data for genders present in the state (Eg: Male, Female, Other).
If CSV is being ingested, the file name should be -> gender-dimension.data.csv
#
Column Name
Data Type
Description
Validation
1
gender_id
string
Unique ID of the gender
NA
2
gender
string
Name of the gender
NA
​Here is the upload template for this schema. You can use this template to fill the state data and upload it into cQube. Here is the sample template for this schema to see the kind of data and template in which cQube will accept data.

Subject Dimension:

This is the data for subjects being taught in the state (Eg: Mathematics, Science, English etc).
If CSV is being ingested, the file name should be -> subject-dimension.data.csv
#
Column Name
Data Type
Description
Validation
1
subject_id
string
Unique ID of the subject
NA
4
subject
string
Subject as per what is taught in the state
NA
Note: The subject column will consist of the master values from the DIKSHA Data and NAS Data.
​Here is the upload template for this schema. You can use this template to fill the state data and upload it into cQube. Here is the sample template for this schema to see the kind of data and template in which cQube will accept data.

Medium Dimension:

This is the data for mediums being taught in the state (Eg: English, Hindi etc).
If CSV is being ingested, the file name should be -> medium-dimension.data.csv
#
Column Name
Data Type
Description
Validation
1
medium_id
string
Unique ID of the medium
NA
4
medium
string
Medium as per what is taught in the state
NA
Note: The medium column will consist of the master values from the DIKSHA Data.
​Here is the upload template for this schema. You can use this template to fill the state data and upload it into cQube. Here is the sample template for this schema to see the kind of data and template in which cQube will accept data.
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Last modified 1mo ago