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Perfect channel to learn Data Analytics Learn SQL, Python, Alteryx, Tableau, Power BI and many more For Promotions: @coderfun @love_data

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📈 Аналитический обзор Telegram-канала Data Analytics

Канал Data Analytics (@sqlspecialist) языкового сегмента Английский является активным участником. Сейчас сообщество объединяет 110 102 подписчиков, занимая 1 106 место в категории Технологии и приложения и 2 308 место в регионе Индия.

📊 Показатели аудитории и динамика

С момента создания невідомо проект демонстрирует стремительный рост, собрав аудиторию из 110 102 подписчиков.

Согласно последним данным от 12 июля, 2026, канал показывает стабильную активность. За последние 30 дней изменение числа участников составило 628, а за последние 24 часа — -26, при этом общий охват остаётся высоким.

Статус верификации: Не верифицирован
Уровень вовлечённости (ER): Средний показатель вовлечённости аудитории составляет 3.31%. В первые 24 часа после публикации контент обычно набирает 1.67% реакций от общего числа подписчиков.
Охват публикаций: В среднем каждый пост получает 3 649 просмотров. В течение первых суток публикация набирает 1 843 просмотров.
Реакции и взаимодействия: Аудитория активно поддерживает контент: среднее количество реакций на один пост — 9.
Тематические интересы: Контент сосредоточен на ключевых темах, таких как row, sql, analytic, analyst, visualization.

📝 Описание и контентная политика

Автор описывает ресурс как площадку для выражения субъективного мнения:
“Perfect channel to learn Data Analytics Learn SQL, Python, Alteryx, Tableau, Power BI and many more For Promotions: @coderfun @love_data”

Благодаря высокой частоте обновлений (последние данные получены 13 июля, 2026) канал поддерживает актуальность и высокий уровень охвата публикаций. Аналитика показывает, что аудитория активно взаимодействует с контентом, что делает его важной точкой влияния в категории Технологии и приложения.

110 102

Подписчики

-2624 часа

+867 дней

+62830 день

3 649

Просмотры поста

~ 1 84324 часа

~ 2 30148 часов

3.31%

Коэффициент вовлеченности

~ 3

Постов в день

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Архив постов

110 102

Which of the following python library is used for data visualization?

Anonymous voting

110 102

SQL Interview Questions with detailed answers: 8️⃣ How do you identify missing values in a dataset using SQL? In SQL, missing values are usually represented as NULL. You can detect them using the IS NULL condition. Basic Query to Find NULL Values in a Column

SELECT * FROM employees WHERE salary IS NULL;

This retrieves all employees where the salary is missing. Find Missing Values in Multiple Columns

SELECT * FROM employees WHERE salary IS NULL OR department_id IS NULL;

This checks for NULL values in both the salary and department_id columns. Count Missing Values in Each Column

SELECT COUNT(*) AS total_rows, COUNT(salary) AS non_null_salaries, COUNT(department_id) AS non_null_departments FROM employees;

Since COUNT(column_name) ignores NULL values, subtracting it from COUNT(*) gives the number of missing values. Top 20 SQL Interview Questions Like this post if you want me to continue this SQL Interview Series♥️ Share with credits: https://t.me/sqlspecialist Hope it helps :)

110 102

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110 102

Which of the following is not an aggregate function in SQL?

Anonymous voting

110 102

7️⃣ What is a Common Table Expression (CTE), and when should you use it? A Common Table Expression (CTE) is a temporary result set that can be referenced within a SELECT, INSERT, UPDATE, or DELETE statement. It improves code readability and allows recursive queries. Syntax of a CTE

WITH cte_name AS ( SELECT column1, column2 FROM table_name WHERE condition ) SELECT * FROM cte_name;

Example: Using CTE to Find Employees with High Salaries

WITH HighSalaryEmployees AS ( SELECT employee_id, first_name, salary FROM employees WHERE salary > 70000 ) SELECT * FROM HighSalaryEmployees;

When to Use CTEs? 1️⃣ Improve Readability – Makes complex queries easier to understand. 2️⃣ Avoid Subquery Repetition – Instead of repeating subqueries, define them once in a CTE. 3️⃣ Enable Recursion – Useful for hierarchical data like employee-manager relationships. Top 20 SQL Interview Questions Like this post if you want me to continue this SQL Interview Series♥️ Share with credits: https://t.me/sqlspecialist Hope it helps :)

110 102

𝗠𝗶𝗰𝗿𝗼𝘀𝗼𝗳𝘁 𝗙𝗥𝗘𝗘 𝗖𝗲𝗿𝘁𝗶𝗳𝗶𝗰𝗮𝘁𝗶𝗼𝗻 𝗖𝗼𝘂𝗿𝘀𝗲𝘀😍 1️⃣ Get Started with Microsoft Data Analytics 2️⃣ Prepare Data for Analysis with Power BI 3️⃣ Model Data with Power BI 𝐋𝐢𝐧𝐤 👇:- https://pdlink.in/40N8akW Enroll For FREE & Get Certified 🎓

110 102

Which of the following join is not available in SQL?

Anonymous voting

110 102

SQL Interview Questions with detailed answers: 6️⃣ How do you find the second highest salary from an Employee table? There are multiple ways to find the second highest salary in SQL. Here are three common approaches: 1️⃣ Using LIMIT and OFFSET (MySQL, PostgreSQL, etc.)

SELECT DISTINCT salary FROM employees ORDER BY salary DESC LIMIT 1 OFFSET 1;

Explanation: ORDER BY salary DESC sorts salaries in descending order. LIMIT 1 OFFSET 1 skips the highest salary (OFFSET 1) and retrieves the next highest. 2️⃣ Using RANK() (Works in SQL Server, PostgreSQL, MySQL 8+)

SELECT salary FROM ( SELECT salary, RANK() OVER (ORDER BY salary DESC) AS rnk FROM employees ) ranked_salaries WHERE rnk = 2;

Explanation: The inner query assigns a RANK() to each salary. The outer query filters for rnk = 2 to get the second highest salary. 3️⃣ Using MAX() and NOT IN (Works in all SQL versions)

SELECT MAX(salary) FROM employees WHERE salary NOT IN (SELECT MAX(salary) FROM employees);

Explanation: The subquery finds the highest salary. The main query finds the maximum salary excluding the highest one. Each approach depends on the database system you are using. Top 20 SQL Interview Questions Like this post if you want me to continue this SQL Interview Series♥️ Share with credits: https://t.me/sqlspecialist Hope it helps :)

110 102

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110 102

Here is the list of most widely used window functions in SQL: ROW_NUMBER(): Assigns consecutive numbers starting from 1 to all rows in the table RANK: Assigns a rank value to each row within each ordered partition of a result set NTILE(): Returns the group number for each of the rows in the partition LEAD() and LAG(): Compares the rows with their previous or next rows PERCENTILE_CONT: Compares each employee's salary with the average salary in his or her department And SORT() is not even a valid command in SQL. For sorting, we use ORDER BY clause in SQL. Hope it helps :)

110 102

Which of the following is not a window function?

Anonymous voting

110 102

A simple way to remember which I use for the example given above: Rank -> 1224 DENSE_RANK-> 1223 ROW_NUMBER -> 1234 Hope it helps you as well :)

110 102

SQL Interview Questions with detailed answers: 5️⃣ Difference between RANK(), DENSE_RANK(), and ROW_NUMBER() 1️⃣ RANK() assigns a rank to each row based on the specified order. If two rows have the same value, they get the same rank, but the next rank is skipped. Example: If two employees have the same salary and rank as 2, the next rank will be 4 (skipping 3).

SELECT employee_id, salary, 
       RANK() OVER (ORDER BY salary DESC) AS rank
FROM employees;

2️⃣ DENSE_RANK() is similar to RANK(), but it does not skip ranks when there are ties. Example: If two employees share rank 2, the next rank will be 3 instead of skipping it.

SELECT employee_id, salary, 
       DENSE_RANK() OVER (ORDER BY salary DESC) AS dense_rank
FROM employees;

3️⃣ ROW_NUMBER() assigns a unique number to each row, even if the values are the same. No ties occur, and every row gets a unique sequential number.

SELECT employee_id, salary, 
       ROW_NUMBER() OVER (ORDER BY salary DESC) AS row_num
FROM employees;

⬇️ Key Differences: RANK() skips numbers when there are duplicates. DENSE_RANK() does not skip numbers and assigns the next rank sequentially. ROW_NUMBER() does not allow ties and gives every row a unique number. Top 20 SQL Interview Questions Like this post if you want me to continue this SQL Interview Series♥️ Share with credits: https://t.me/sqlspecialist Hope it helps :)

110 102

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110 102

Which of the following loop is not available in Python?

Anonymous voting

110 102

SQL Interview Questions with detailed answers: 4️⃣ How do you remove duplicate rows from a table? To remove duplicate rows, you can use the DISTINCT keyword in a SELECT query. Example:

SELECT DISTINCT column_name FROM table_name;

Explanation: DISTINCT will return only unique rows for the specified column(s). It compares all columns in the query and removes duplicates. For example, if you have a table of employees and some rows are repeated, using DISTINCT will only return unique employees. Example with multiple columns:

SELECT DISTINCT first_name, last_name FROM employees;

This will return only unique combinations of first and last names. Like this post if you want me to continue this SQL Interview Series♥️ Share with credits: https://t.me/sqlspecialist Hope it helps :)

110 102

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110 102

Guys, please check out my SQL tutorial if you're getting this wrong! 👇 https://t.me/sqlspecialist/567 For the next few days, I'll be posting basic data analytics questions to ensure all my subscribers understand the essential concepts. Once I see 80%+ correct answers, we'll move on to more advanced polls and quizzes! Hope you all succeed one day :)

110 102

Which of the following is SQL Command is used to sort results?

Anonymous voting

110 102

Which of the following is not a Python Library?

Anonymous voting