Code. Blame. 68 lines (64 loc) · 3.25 KB. Raw. 📈 CASE STUDY 2 - (Investigating metric spike) 😉 Queries. 1. User Engagement: To measure the activeness of a user. Measuring if the user …
case study 2- Investigating Metric Spike.sql
case study 2- Investigating Metric Spike.sql. -- Task-A: Write an SQL query to calculate the weekly user engagement. -- Task-B: Write an SQL query to calculate the user …
Operation Analytics and Investigating Metric Spike SQL
In case study 2 the insights are found based on following questions: To measure the activeness of a user. Measuring if the user finds quality in a Amount of users growing over time for a product.
Operation Analytics and Investigating Metric Spike
Case Study 2 (Investigating metric spike) Table-1: users This table includes one row per user, with descriptive information about that user’s account. Table-2: events This table includes one …
task3_case_sudy_2_Investigating_Metric_Spike.sql
Data Analytics Trainnee Trainity Task 3: Case Study 2: Investigating metric spike Question A: User Engagement: To measure the activeness of a user. Measuring if the …
Operation Analytics and Investigating Metric Spike
Case Study 2 (Investigating metric spike) A. Calculate the weekly user engagement? SELECT DATE_TRUNC('week', e_at), COUNT(DISTINCT e_id) AS weekly_active_users FROM prj e WHERE e_type = 'engagement' AND …
Abhitha Mohan
Case Study 2: Investigating Metric Spike. In Case Study 2, I used SQL and Tableau concepts to investigate the metric spike of a product by drawing insights such as : - User Growth: Calculated the amount of users growing over time for …
Case Study 2 (Investigating metric spike) The structure of the table with the definition of each column that you must work on is present in the project image Table-1: users
Trainity Assignment-3
Operation Analytics and Investigating Metric Spike Description: Operation Analytics is the analysis done for the complete end to end operations of a company. With the help of this, the company then finds the areas on which it …
Code. Blame. 68 lines (64 loc) · 3.25 KB. Raw. 📈 CASE STUDY 2 - (Investigating metric spike) 😉 Queries. 1. User Engagement: To measure the activeness of a user. Measuring if the user …
case study 2- Investigating Metric Spike.sql
case study 2- Investigating Metric Spike.sql. -- Task-A: Write an SQL query to calculate the weekly user engagement. -- Task-B: Write an SQL query to calculate the user …
Operation Analytics and Investigating Metric Spike SQL
In case study 2 the insights are found based on following questions: To measure the activeness of a user. Measuring if the user finds quality in a Amount of users growing over time for a product.
Operation Analytics and Investigating Metric Spike
Case Study 2 (Investigating metric spike) Table-1: users This table includes one row per user, with descriptive information about that user’s account. Table-2: events This table includes one …
task3_case_sudy_2_Investigating_Metric_Spike.sql
Data Analytics Trainnee Trainity Task 3: Case Study 2: Investigating metric spike Question A: User Engagement: To measure the activeness of a user. Measuring if the …
Operation Analytics and Investigating Metric Spike
Case Study 2 (Investigating metric spike) A. Calculate the weekly user engagement? SELECT DATE_TRUNC('week', e_at), COUNT(DISTINCT e_id) AS weekly_active_users FROM prj e WHERE e_type = 'engagement' AND …
Abhitha Mohan
Case Study 2: Investigating Metric Spike. In Case Study 2, I used SQL and Tableau concepts to investigate the metric spike of a product by drawing insights such as : - User Growth: Calculated the amount of users growing over time for …
Case Study 2 (Investigating metric spike) The structure of the table with the definition of each column that you must work on is present in the project image Table-1: users
Trainity Assignment-3
Operation Analytics and Investigating Metric Spike Description: Operation Analytics is the analysis done for the complete end to end operations of a company. With the help of this, the company then finds the areas on which it …
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Code. Blame. 68 lines (64 loc) · 3.25 KB. Raw. 📈 CASE STUDY 2 - (Investigating metric spike) 😉 Queries. 1. User Engagement: To measure the activeness of a user. Measuring if the user …
case study 2- Investigating Metric Spike.sql. -- Task-A: Write an SQL query to calculate the weekly user engagement. -- Task-B: Write an SQL query to calculate the user …
In case study 2 the insights are found based on following questions: To measure the activeness of a user. Measuring if the user finds quality in a Amount of users growing over time for a product.
Case Study 2 (Investigating metric spike) Table-1: users This table includes one row per user, with descriptive information about that user’s account. Table-2: events This table includes one …
Data Analytics Trainnee Trainity Task 3: Case Study 2: Investigating metric spike Question A: User Engagement: To measure the activeness of a user. Measuring if the …
Case Study 2 (Investigating metric spike) A. Calculate the weekly user engagement? SELECT DATE_TRUNC('week', e_at), COUNT(DISTINCT e_id) AS weekly_active_users FROM prj e WHERE e_type = 'engagement' AND …
Case Study 2: Investigating Metric Spike. In Case Study 2, I used SQL and Tableau concepts to investigate the metric spike of a product by drawing insights such as : - User Growth: Calculated the amount of users growing over time for …
Case Study 2 (Investigating metric spike) The structure of the table with the definition of each column that you must work on is present in the project image Table-1: users
Operation Analytics and Investigating Metric Spike Description: Operation Analytics is the analysis done for the complete end to end operations of a company. With the help of this, the company then finds the areas on which it …
Code. Blame. 68 lines (64 loc) · 3.25 KB. Raw. 📈 CASE STUDY 2 - (Investigating metric spike) 😉 Queries. 1. User Engagement: To measure the activeness of a user. Measuring if the user …
case study 2- Investigating Metric Spike.sql. -- Task-A: Write an SQL query to calculate the weekly user engagement. -- Task-B: Write an SQL query to calculate the user …
In case study 2 the insights are found based on following questions: To measure the activeness of a user. Measuring if the user finds quality in a Amount of users growing over time for a product.
Case Study 2 (Investigating metric spike) Table-1: users This table includes one row per user, with descriptive information about that user’s account. Table-2: events This table includes one …
Data Analytics Trainnee Trainity Task 3: Case Study 2: Investigating metric spike Question A: User Engagement: To measure the activeness of a user. Measuring if the …
Case Study 2 (Investigating metric spike) A. Calculate the weekly user engagement? SELECT DATE_TRUNC('week', e_at), COUNT(DISTINCT e_id) AS weekly_active_users FROM prj e WHERE e_type = 'engagement' AND …
Case Study 2: Investigating Metric Spike. In Case Study 2, I used SQL and Tableau concepts to investigate the metric spike of a product by drawing insights such as : - User Growth: Calculated the amount of users growing over time for …
Case Study 2 (Investigating metric spike) The structure of the table with the definition of each column that you must work on is present in the project image Table-1: users
Operation Analytics and Investigating Metric Spike Description: Operation Analytics is the analysis done for the complete end to end operations of a company. With the help of this, the company then finds the areas on which it …