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Date: 20-10-2023
Company : Tiger Analytics
Role : Data Analyst
Topic : Tableau extract, tableau parameter, freeze pane, vlookup

1. What is a Tableau extract?
A Tableau extract is a compressed file that contains a subset of data from a larger data source. Extracts can be used to improve performance by reducing the amount of data that needs to be loaded into Tableau. Extracts can be created by selecting the "Extract" option when connecting to a data source, and can be refreshed on a schedule or on demand.

2. What is a Tableau parameter?
A Tableau parameter is a dynamic input that allows users to change the behavior of a visualization. Parameters can be used to create dynamic filters, switch between views, or adjust calculations. Parameters are created by defining a data type, range of allowable values, and a default value. Parameters can be used in calculations, filters, and other parts of a Tableau workbook.

3. What is conditional formatting in Excel?
Conditional formatting allows you to apply formatting rules to cells based on specific conditions, such as highlighting values greater than a certain threshold or applying color scales.

4. What is the purpose of the VLOOKUP function in Excel?
The VLOOKUP function is used to search for a value in the leftmost column of a table and retrieve a corresponding value from a different column within the same row.

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Date: 10-12-2023
Company Name: LinkedIn 
Role: Data Analyst 
Topics asked from: Social Network Analysis, Data Visualization, User Engagement 


Q1: How would you analyze data to understand user connection patterns on a professional network? 

Ans: I'd use graph databases like Neo4j for social network analysis. By analyzing connection patterns, I can identify influencers or isolated communities.

Q2: Describe a challenging data visualization you created to represent user engagement metrics. 

Ans: I visualized multi-dimensional data showing user engagement across features, regions, and time using tools like D3.js, creating an interactive dashboard with drill-down capabilities.

Q3: How would you identify and target passive job seekers on LinkedIn? 

Ans: I'd analyze user behavior patterns, like increased profile updates, frequent visits to job postings, or engagement with career-related content, to identify potential passive job seekers.

Q4: How do you measure the effectiveness of a new feature launched on LinkedIn? 


Ans: I'd set up A/B tests, comparing user engagement metrics between those who have access to the new feature and a control group. I'd then analyze metrics like time spent, feature usage frequency, and overall platform engagement to measure effectiveness.