Data Analytics
前往频道在 Telegram
Perfect channel to learn Data Analytics Learn SQL, Python, Alteryx, Tableau, Power BI and many more For Promotions: @coderfun @love_data
显示更多📈 Telegram 频道 Data Analytics 的分析概览
频道 Data Analytics (@sqlspecialist) 英语 语言赛道中的 是活跃参与者。目前社区聚集了 109 775 名订阅者,在 技术与应用 类别中位列第 1 114,并在 印度 地区排名第 2 321 位。
📊 受众指标与增长动态
自 невідомо 创建以来,项目保持高速增长,吸引了 109 775 名订阅者。
根据 29 六月, 2026 的最新数据,频道保持稳定运转。过去 30 天订阅人数变化为 523,过去 24 小时变化为 6,整体触达仍然可观。
- 认证状态: 未认证
- 互动率 (ER): 平均受众互动率为 2.41%。内容发布后 24 小时内通常能获得 1.49% 的反应,占订阅者总量。
- 帖子覆盖: 每篇帖子平均可获得 2 646 次浏览,首日通常累积 1 630 次浏览。
- 互动与反馈: 受众积极参与,单帖平均反应数为 7。
- 主题关注点: 内容集中在 row, sql, analytic, analyst, visualization 等核心主题上。
📝 描述与内容策略
作者将该频道定位为表达主观观点的平台:
“Perfect channel to learn Data Analytics
Learn SQL, Python, Alteryx, Tableau, Power BI and many more
For Promotions: @coderfun @love_data”
凭借高频更新(最新数据采集于 30 六月, 2026),频道始终保持新鲜度与高覆盖。分析显示受众积极互动,使其成为 技术与应用 类别中的关键影响点。
109 775
订阅者
+624 小时
+1717 天
+52330 天
帖子存档
109 775
Placing a dimension on which shelf separates the marks according to the members in the dimension, and assigns a unique color to each member?
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Here are the different ways to create views in Tableau
👇👇
Drag fields from the Data pane and drop them onto the cards and shelves that are part of every Tableau worksheet.
Double-click one or more fields in the Data pane.
Select one or more fields in the Data pane and then choose a chart type from Show Me, which identifies the chart types that are appropriate for the fields you selected.
Drop a field on the Drop field here grid, to start creating a view from a tabular perspective.109 775
Which of the following field typically hold categorical data such as product types and dates?
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Which function is used to calculate difference between two dates in tableau?
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Which of the following chart type can be used to show magnitude (relative size or value of two or more discrete items)
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Q. Explain the data preprocessing steps in data analysis.
Ans. Data preprocessing transforms the data into a format that is more easily and effectively processed in data mining, machine learning and other data science tasks.
1. Data profiling.
2. Data cleansing.
3. Data reduction.
4. Data transformation.
5. Data enrichment.
6. Data validation.
Q. What Are the Three Stages of Building a Model in Machine Learning?
Ans. The three stages of building a machine learning model are:
Model Building: Choosing a suitable algorithm for the model and train it according to the requirement
Model Testing: Checking the accuracy of the model through the test data
Applying the Model: Making the required changes after testing and use the final model for real-time projects
Q. What are the subsets of SQL?
Ans. The following are the four significant subsets of the SQL:
Data definition language (DDL): It defines the data structure that consists of commands like CREATE, ALTER, DROP, etc.
Data manipulation language (DML): It is used to manipulate existing data in the database. The commands in this category are SELECT, UPDATE, INSERT, etc.
Data control language (DCL): It controls access to the data stored in the database. The commands in this category include GRANT and REVOKE.
Transaction Control Language (TCL): It is used to deal with the transaction operations in the database. The commands in this category are COMMIT, ROLLBACK, SET TRANSACTION, SAVEPOINT, etc.
Q. What is a Parameter in Tableau? Give an Example.
Ans. A parameter is a dynamic value that a customer could select, and you can use it to replace constant values in calculations, filters, and reference lines.
For example, when creating a filter to show the top 10 products based on total profit instead of the fixed value, you can update the filter to show the top 10, 20, or 30 products using a parameter.
109 775
Which chart type is better choice for Viewing trends in data over time?
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Which chart type is perfect for Investigating the relationship between different variables.
109 775
Which of the following statement is true about KPIs and metrics?
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