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Dyson Brushes Interview Questions and Answers
Q1. What are the types of data.
Types of data include numerical, categorical, ordinal, and binary.
Numerical data includes continuous and discrete values, such as height and age.
Categorical data includes non-numeric values, such as colors and types of fruit.
Ordinal data includes values with a specific order, such as rankings and ratings.
Binary data includes only two possible values, such as true/false and yes/no.
Q2. What is the difference between __proto__ and prototype
The __proto__ is a property that points to the prototype of an object, while prototype is a property of a constructor function.
The __proto__ property is used to access the prototype of an object.
The prototype property is used to add properties and methods to a constructor function.
The __proto__ property is deprecated and should not be used in production code.
Changes to the prototype of a constructor function will affect all instances of that constructor function.
Q3. what is the difference between where and having
WHERE is used to filter rows before grouping or aggregating, while HAVING is used to filter groups after grouping or aggregating.
WHERE is used with SELECT, UPDATE, DELETE statements to filter rows based on a condition
HAVING is used with GROUP BY clause to filter groups based on a condition
WHERE is applied before the grouping operation, while HAVING is applied after the grouping operation
Q4. Channels of acquisition & there ideal split
The ideal split of acquisition channels depends on the target audience and budget.
The split should be based on the channels that have the highest ROI.
The target audience should be considered when deciding on the channels.
The budget should also be taken into account.
Examples of acquisition channels include social media, email marketing, SEO, PPC, and referral marketing.
Q5. What is the difference between inner join and left join ?
Q6. write a sql code for having
SQL code for having clause
Use the HAVING clause to filter groups based on aggregate functions
It is used with the GROUP BY clause
Example: SELECT department, AVG(salary) FROM employees GROUP BY department HAVING AVG(salary) > 50000;
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