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Channel

Power BI Developer

@powerbi_sql_analyst

On this record: Growth · Engagement · Reactions · Advertising · Posts · Polls · Telegram's recommendations · Cite this entry

6,771subscribers

+13 since we began measuring on 13 August 2026

Risers and fallers across the register · movement among entries of 3,162–10,000.

Register entry

Telegram ID-1002054730534
TypeChannel
Username@powerbi_sql_analyst
CreatedBetween 1 November 2023 and 31 May 2024— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded13 August 2026
Last confirmed live21 August 2026
Measurements held4
Confirmed unchanged1 time, most recently 21 August 2026
On Telegramt.me/powerbi_sql_analyst

Growth

6,7586,7716,764.513 August 2026 — 6,758 subscribers14 August 2026 — 6,760 subscribers17 August 2026 — 6,762 subscribers21 August 2026 — 6,771 subscribers13 August 202621 August 2026
4 measurements spanning 8 days, net +13. Dots are measurements; the straight line between them is drawn to join them, not to claim we know the path taken in between — snapshots are recorded only when a count changes, so gaps mean “no change observed”, never “interpolated”. The vertical axis spans 6,756–6,773 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
21 Aug 2026, 02:036,771+9
17 Aug 2026, 18:056,762+2
14 Aug 2026, 09:566,760+2
13 Aug 2026, 13:316,758first reading

Engagement

20 posts held, back to 18 August 2025the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 3 pagesof Telegram’s post history, 20 posts per page.

Nothing published in the last 30 days. ERR and ER are rolling 30-day measures, so there is nothing to compute — we hold 20 posts for this entry, the most recent from 11 July 2026. An engagement rate over an empty window would be a number about nothing.

Reaction mix

205 reactions across 19 posts, in 5 distinct kinds. The most used accounts for 55.6% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
11455.6%
👍7536.6%
🔥136.34%
🤝20.976%
😁10.488%

No sentiment is inferred, and none should be read in. This table is ordered by count and by nothing else. Emoji do not carry stable meaning across languages or communities — 🙏 is thanks in one channel and mourning in another — so we publish which ones were pressed and how often, and pass no judgement on what an audience meant by them.

Precision. Telegram publishes reaction counts per emoji and short-forms each one — 4.34K, 1.2M — so any single kind at or above 1,000 reaches us at three significant figures, and only counts below 1,000 are exact. The shares above are ratios of those figures and carry the same error. This is also why the total here can differ slightly from a reaction total printed elsewhere on the page: both are sums of the same rounded parts, taken over samples with different edges.

Coverage. Reactions were read on 19 of the 20 sampled posts in this sample. Summed by Telegram’s own count on each post — not by adding up the per-emoji breakdown above — those same posts carry 205reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 20 most recent posts we hold, published 18 August 2025 to 11 July 2026, using the newest reading held for each. Telegram Stars are excluded: they are a payment, not a reaction, and they have their own section.

Advertising

Ad load
5.00%
1 of 20 posts carry an ad marker
Regulatory tokens
1
posts carrying an erid · 1 distinct token
Median views · ads
2,830
over 1 measured post
Median views · rest
3,340
over 19 measured posts

An ad marker, not a judgement about a post. A post is counted here because it carries one of two explicit markings: an erid token, which Russian law has required on paid placements since 2022 and which is issued against a specific advertising contract, or a #реклама / #ad hashtag in the body, which is the channel declaring it itself. The first is documentary; the second is a self-declaration and is weaker. No classifier reads the text and decides — nothing on this site guesses that a post is an advertisement.

This is a floor, and it can only ever be a floor.A channel that runs paid placements without marking them produces no marker for us to count, and an unmarked ad is indistinguishable from an ordinary post on the public surface. The ad load above therefore means “the share of posts that declared themselves”, never “the share of posts that were paid for”. A low figure is not evidence of a channel that runs few ads.

Both figures are medians, and no ratio between them is published. Each is a view reading that actually occurred on a post, picked by percentile_disc rather than averaged, so one viral post cannot move it and no interpolated value is invented between two readings. The sample on one side is under five posts, which is too thin to compare. The two figures are shown side by side with the count behind each, and deliberately not divided into a headline like “ads get x% fewer views” — an arithmetic that is easy to print and, at this sample size, means nothing.

Advertising tokens recorded on this entry
eridPostsFirst seenLast seen
OrderDate126 March 202626 March 2026

A token repeated across several posts is one advertising contract placed more than once, which is what the identifier is for. The strings are reproduced exactly as they appeared in the post or in its click-through URL and are not validated against any registry — we record the marker a channel published, and whether it resolves to a real contract is a question for the register that issued it.

Measured over the 20 most recent posts we hold, published 18 August 2025 to 11 July 2026. Views are the latest single reading held for each post, and any reading at or above 1,000 is rounded by Telegram to three significant figures.

Recent posts

11 Jul 2026, 10:27 UTC≈1,720 views7 reactionsread 20 August 2026

Post No. #1039 How to Add This Power BI Project to Your Resume Many students build projects... But they don't know how to present them on their resume. Here's a professional way to write it : Project Name : Sales Performance Dashboard | Power BI Project Description : Developed an interactive Power BI dashboard to analyze sales performance using real business data. Key Highlights : - Cleaned and transformed d

7

29 Jun 2026, 11:15 UTC≈2,160 views5 reactionsread 20 August 2026

Post No. #1038 Real Interview Questions – Project #1 (Sales Performance Dashboard – Power BI) Q1. What was the objective of this dashboard? ✅ Answer: The objective was to analyze sales performance, identify profitable products, compare regional performance, and track monthly trends for business decision-making. Q2. How did you calculate Total Sales? ✅ Answer: I created a DAX measure using Quantity × UnitPrice to

👍41

15 Apr 2026, 07:50 UTC≈3,890 views17 reactionsread 20 August 2026

Post No. #1037 How to Explain This Project in Interview (Sales Performance Dashboard – Power BI) Most students build projects… But fail in interviews. Because they don’t know how to explain it Start Like a Professional: - I worked on a Sales Performance Dashboard to analyze business growth and profitability. Explain the Business Problem: - The goal was to identify high-performing regions, profitable products, a

15🤝2

4 Apr 2026, 07:34 UTC≈3,760 views9 reactionsread 20 August 2026

Post No. #1036 Final Dashboard Design Project #1: Sales Performance Dashboard If you want your dashboard to look professional, don’t just place charts randomly. Use this layout Top Section (KPI Cards) Place these cards at the top: - Total Sales - Total Profit - Profit % - Total Quantity Middle Section Use 2 main visuals here: Region-wise Sales - Bar / Column Chart Monthly Sales Trend - Line Chart Bottom S

8🔥1

3 Apr 2026, 07:04 UTC≈2,900 views12 reactionsread 20 August 2026

Post No. #1035 DAX Formulas – Project #1 (Sales Dashboard) If you built the dashboard, now check your calculations Total Sales DAX Total Sales = SUMX(Data, Data[Quantity] * Data[UnitPrice]) Total Profit DAX Total Profit = SUMX(Data, (Data[UnitPrice] - Data[CostPrice]) * Data[Quantity]) Profit % DAX Profit % = DIVIDE([Total Profit], [Total Sales], 0) Total Quantity DAX Total Quantity = SUM(Data[Quantity]) M

7👍5

26 Mar 2026, 11:21 UTC≈2,830 views16 reactionsread 20 August 2026
Advertisementerid OrderDate

Post No. #1034 Step-by-Step Solution – Project #1 Sales Performance Dashboard If you want to build this dashboard properly, follow these steps: Step 1: Import the CSV file Open Power BI Desktop Click Get Data → Text/CSV Select the dataset file and load it Step 2: Check the data Make sure these columns are available: OrderID OrderDate CustomerName Region Product Category Quantity UnitPrice CostPrice Also ma

6🔥6👍4

25 Mar 2026, 09:23 UTC≈2,090 views9 reactionsread 20 August 2026

Post No. #1033 Project #1 Answer : 1. Total Sales ₹ 39,35,200 2. Total Profit ₹ 8,15,400 3. Region-wise Sales North → ₹ 13,78,000 East → ₹ 10,51,100 South → ₹ 8,84,400 West → ₹ 6,21,700 4. Monthly Trend Jan 2024 → ₹ 13,12,100 Feb 2024 → ₹ 17,50,500 Mar 2024 → ₹ 8,72,600 5. Top 5 Products (Sales Wise) Laptop → ₹ 18,70,000 Mobile → ₹ 9,20,000 Monitor → ₹ 4,32,000 Table → ₹ 3,43,000 Chair → ₹ 1,80,00

🔥63

24 Mar 2026, 08:30 UTC≈2,130 views8 reactionsread 20 August 2026

Post No. #1032 Dataset for Project #1 is here As promised, here is your Sales Performance Dashboard dataset. Your Task: Build a dashboard that shows: ✔ Total Sales ✔ Total Profit ✔ Region-wise Sales ✔ Monthly Trend ✔ Top 5 Products Important: Don’t build this like a beginner… Think like a real data analyst. Ask yourself: Which region is performing best? Which product is most profitable? Is sales increasing

👍71

24 Mar 2026, 05:25 UTC≈2,210 views7 reactionsread 20 August 2026

Post No. #1030 Free Power BI Project #1 Sales Performance Dashboard Most beginners make dashboards… But this is how real companies think.. Business Problem: A company wants to analyze: - Which region is generating maximum sales - Which products are most profitable - Monthly growth trend Top customers Dataset Includes: Orders data Customers Products Region Your Task: Build a dashboard that shows: ✓ Total

👍52

10 Mar 2026, 08:17 UTC≈2,740 views7 reactionsread 20 August 2026

Post No. #1029 Many Power BI learners face the same problem. - They complete courses - They learn DAX - They build small dashboards But when it comes to real projects for CV, they get stuck. Because companies don’t want only theory. They want real business problem solving skills. So I have a question for you 👇 If you get 10 real Power BI projects with: • Business problem statement • Real datasets • Step-by-

7

6 Mar 2026, 06:25 UTC≈2,870 views17 reactionsread 20 August 2026

Post No. #1028 I am planning something special for Power BI students. This will help you add real projects in your CV. More details soon...

👍134

Showing the 12 most recent of 20 posts we hold for @powerbi_sql_analyst. View and reaction counts are the latest single reading for each post, not a live figure, and a recent post is still accumulating both. A view count marked was rounded by Telegram before we ever saw it — t.me prints views in full below 1,000 and to three significant figures above, so ≈1,200,000 means somewhere between 1,150,000 and 1,249,999. Unmarked counts are exact. Text is reproduced from the public post preview and truncated for length.

Polls

The 2 polls we hold for this entry, as Telegram rendered them when we read the post. A poll’s figures keep moving after that, so each one is dated.

26 Feb 2026, 05:53 UTCAnonymous Poll214 voters

Be honest. How many Power BI projects do you have in your CV? Vote below 👇

  1. 0 projects37%
  2. 1 - 2 projects36%
  3. 3 - 5 projects22%
  4. More than 5 projects9%

The shares total 104%, above 100: this poll accepts more than one answer per voter. No per-option vote count is published, so the number of voters who chose each option is not derivable and is not shown.

20 Feb 2026, 14:15 UTCAnonymous Poll210 voters

I am interested in

  1. Data analyst course79%
  2. Data science course28%

The shares total 107%, above 100: this poll accepts more than one answer per voter. No per-option vote count is published, so the number of voters who chose each option is not derivable and is not shown.

Percentages only — there are no per-option vote counts here, because Telegram publishes none.The public post preview gives each option’s share and a single voter total, and nothing else. Multiplying one by the other would produce a per-option tally that looks measured and is not: the shares are rounded to whole numbers before we ever see them. We print what was published and leave the column that does not exist empty.

The shares need not add up to 100.Rounding alone puts many polls at 99 or 101. A poll that allows more than one answer per voter runs well past 100 by design, and several here do. The bars are drawn against a fixed 100% track at each option’s own percentage rather than normalised to the total, so a poll that exceeds it shows that it does instead of being quietly rescaled.

Read from the 20 most recent posts we hold, published 18 August 2025 to 11 July 2026. Telegram labels each poll by kind — an anonymous poll, a quiz, a closed set of final results — and that label is reproduced rather than paraphrased.

Appears in Telegram’s recommendations for other channels

The reverse of the list above, and a different kind of signal. This does not require this channel to have ever been asked about directly — each row below is a channel we DID ask Telegram about, whose Telegram-generated list happened to include this one. A channel can appear here with an empty list above it, because being named by someone else’s query is independent of having been queried itself.

MS Excel for Data Analysis
@excel_analyst · 72,374
Telegram ranks this channel #44 of 84 here — alongside 83 others — read 20 August 2026
Data Analytics
@sqlspecialist · 110,764
Telegram ranks this channel #45 of 83 here — alongside 82 others — read 14 August 2026
Data Analyst Jobs
@jobs_SQL · 91,192
Telegram ranks this channel #57 of 86 here — alongside 85 others — read 17 August 2026
SQL Programming Resources
@sqlanalyst · 76,646
Telegram ranks this channel #61 of 85 here — alongside 84 others — read 19 August 2026
Savitribai Phule Pune University
@SPPUofficial · 131,846
Telegram ranks this channel #61 of 77 here — alongside 76 others — read 13 August 2026

This channel appears in 5 seed channels' Telegram-generated recommendation lists in total. Each is Telegram’s list for THAT channel, not this one — see how this is measured.

Cite this entry

A live page changes as we take new readings, so a citation should name the measurement it is based on, not just the URL. The line below cites the subscriber count as measured 21 August 2026 — this entry's latest reading, not the date you are reading this.

“Power BI Developer” (@powerbi_sql_analyst), 6,771 subscribers as measured 21 August 2026. Telegram Register, tgregister.com/channel/powerbi_sql_analyst.

Full measurement history, CC BY 4.0. Every reading this register holds for this entry, not just the latest one, as a dated, downloadable record: CSV · JSON. Free to use with attribution to tgregister.com. Each file carries its own generation timestamp, which is the figure to cite for exactly when the data was retrieved.