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Data Analytics
Perfect channel to learn Data Analytics Learn SQL, Python, Alteryx, Tableau, Power BI and many more For Promotions: @coderfun @love_data
Show moreπ Analytical overview of Telegram channel Data Analytics
Channel Data Analytics (@sqlspecialist) in the English language segment is an active participant. Currently, the community unites 109 775 subscribers, ranking 1 114 in the Technologies & Applications category and 2 321 in the India region.
π Audience metrics and dynamics
Since its creation on Π½Π΅Π²ΡΠ΄ΠΎΠΌΠΎ, the project has demonstrated rapid growth, gathering an audience of 109 775 subscribers.
According to the latest data from 29 June, 2026, the channel demonstrates stable activity. Although there has been a change in the number of participants by 523 over the last 30 days and by 6 over the last 24 hours, overall reach remains high.
- Verification status: Not verified
- Engagement rate (ER): The average audience engagement rate is 2.41%. Within the first 24 hours after publication, content typically collects 1.49% reactions from the total number of subscribers.
- Post reach: On average, each post receives 2 646 views. Within the first day, a publication typically gains 1 630 views.
- Reactions and interaction: The audience actively supports content: the average number of reactions per post is 7.
- Thematic interests: Content is focused on key topics such as row, sql, analytic, analyst, visualization.
π Description and content policy
The author describes the resource as a platform for expressing subjective opinions:
βPerfect channel to learn Data Analytics
Learn SQL, Python, Alteryx, Tableau, Power BI and many more
For Promotions: @coderfun @love_dataβ
Thanks to the high frequency of updates (latest data received on 30 June, 2026), the channel maintains relevance and a high level of publication reach. Analytics show that the audience actively interacts with content, making it an important point of influence in the Technologies & Applications category.
for(int i=0;i<n;i++)
{
for(int j=0;j<n;j++)
{
//some operation
}
}
How can I write something equivalent in SQL?
Solution:Alias
say, you are asked to count the frequency of each color occurring in the same the table , so you can write something like this:
select distinct color ,(select count(*) from colors where c.color=color) from colors c;