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I applied via LinkedIn and was interviewed in Mar 2023. There were 3 interview rounds.
I applied via LinkedIn and was interviewed before Aug 2021. There were 2 interview rounds.
I applied via Walk-in and was interviewed before Feb 2021. There were 3 interview rounds.
I applied via Referral and was interviewed before Feb 2023. There was 1 interview round.
I applied via Company Website and was interviewed before Apr 2023. There were 2 interview rounds.
Data analysis is crucial for making informed decisions. Tokopedia's vast data provides a great opportunity for analysis. My bachelor's thesis focused on data-driven insights.
Data allows for informed decision-making and insights.
Tokopedia's extensive data provides a valuable opportunity for analysis.
My bachelor's thesis delved into data-driven insights and analysis.
I applied via Naukri.com and was interviewed in Nov 2024. There were 2 interview rounds.
SQL, excel, tableau , looker studio
I applied via LinkedIn and was interviewed in May 2023. There were 3 interview rounds.
Send assignment doings MS Excel
Rank assigns unique ranks to each distinct value, while dense rank does not leave gaps between ranks.
Rank assigns unique ranks to each distinct value in a dataset
Dense rank does not leave gaps between ranks, assigning consecutive ranks to values with the same rank
For example, if values are 10, 20, 20, 30, then rank would be 1, 2, 2, 4 and dense rank would be 1, 2, 2, 3
Merge multiple files in Python using pandas.concat() or pd.merge() functions.
Use pandas.concat() function to merge multiple files vertically (row-wise).
Use pd.merge() function to merge multiple files horizontally (column-wise) based on a common column.
Ensure that the files have compatible column names and data types before merging.
Handle any missing or duplicate values appropriately during the merging process.
Consider ...
A data frame is a two-dimensional data structure in which data is stored in rows and columns.
Data frames are commonly used in programming languages like R and Python for data analysis.
Each column in a data frame represents a variable, while each row represents an observation.
Data frames can contain different types of data, such as numeric, character, and factor.
Data frames can be created from various sources like CSV f
I appeared for an interview in Jan 2025.
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