How to use SteemHub Statistics Tool for Communities and Specific Tags Live Review and Working

Hello everyone!

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Today I am here to show you how you can use the statistics tools of SteemHub for the community analysis as well as for the any specific tags. You can analyse the total number of posts, comments, distribution of tags, the number of tags used, top authors and similarly top commentators.

How to use SteemHub Statistics Tool to Analyze Communities

How to use SteemHub Statistics Tool to Analyze any Specific Tag

📊 Posts Analytics Report for Tag: "steematlas-s24w4"

Date Range: 12/05/2025 to 18/05/2025

📈 Posts Over Time

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📅 Date📊 Count📊 Percentage📊 Trend
2025-05-1225.6%🔽
2025-05-13822.2%📈
2025-05-14616.7%📉
2025-05-15411.1%📉
2025-05-16822.2%📈
2025-05-1738.3%📉
2025-05-18513.9%📈

This is the percentage of the posts count. The tool has generated the table and it has distinguished the number of posts with respect to the date. It has calculated the posts for each day. For the easy understanding the tool generates visual graphs as I have used it above. It shows that the majority of the posts were published on May 13 and May 16.

🏢 Post Distribution Across Communities


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CommunityCount% of Posts
Personal Blogs1336.1%
Be Happy1027.8%
Steem For Bangladesh513.9%
Hot News Community38.3%
Steem For Pakistan12.8%
Venezolanos Steem12.8%
Steem SEA12.8%
Ladies Universe12.8%
Steem Sri Lanka12.8%

Here you can see that the tool has generated the analysis about the distribution of the posts across the personal blogs as well as across the communities. From all the 36 posts 13 posts were published on the personal blog of the users. The second top distribution of the posts were in the Be Happy community and similarly at the third number there is Steem For Bangladesh community. It has generated a beautiful visual chart to present the number of posts per personal blog and communities.

✍️ Top Authors

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👤 Author📝 Posts📊 % of Total🥇 Rank
hamzayousafzai25.6%1 🥇
amjadali0012.8%2 🥈
fajrularifst12.8%3 🥉
megaaulia12.8%4 🏅
nishadi8912.8%5 🏅
solaymann12.8%6 🏅
aviral12312.8%7 🏅
qiabilla12.8%8 🏅
memamun12.8%9 🏅
evagavilan12.8%10 🏅

Here it presents the top authors with respect to the number of the posts. WE can se that one user hamzayousafzai made two posts under this specific tag within the given duration of days so that user is shown as the top author. All the remaining authors made 1 post. The visual chart also displays the data in a beautiful way.

🏷️ Tag Distribution

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🏷️ Tag🔢 Count📊 % of Total
steematlas-s24w43624.0%
steemexclusive2818.7%
mosque2114.0%
steem-atlas2013.3%
indonesia117.3%
club5050117.3%
bangladesh85.3%
pakistan64.0%
club10064.0%
hive-16128532.0%

Here you can see the statistics tool has generated the distribution of the tags used in the posts. In all the posts the main contest tag was used so it has been displayed as the most used tag. Similarly steemexclusive tag was used 28 times and so on mosque tag was used 21 times. The pie chart shows the beautiful visual of the distribution of the tags.

📏 Char Count Distribution

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📐 Char Count Range🔢 Count📊 % of Total
0-250012.8%
2500-50001644.4%
5000-7500822.2%
7500+1130.6%

It has determined the character length of the posts. It shows that the majority of the published posts had character range of 2500 to 5000 which are the 16 posts. The visual chart also displays the same data in an eye catching way.

📝 Word Count Distribution

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📝 Word Count Range🔢 Count📊 % of Total
0-25012.8%
251-50012.8%
501-10001747.2%
1001-15001438.9%
1500+38.3%

This is the word count distribution of the posts published under this tag. There were 17 posts which were published with the word count range of 501 to 1000 words. There were only 3 posts which were published with more than 1500 words. I like how the data is displayed in the chart.

🏆 Club Distribution


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🏆 Club🔢 Count📊 % of Posts🔶 Icon
Club 50/501130.6%🥈
Club 7525.6%🥇
Club 100616.7%🏆
No Club1747.2%

This statistics tool has generated the club distribution for the users who have published the posts. But note this point that the distribution of the club is calculated from the tag used in the post not from the transfer. I hope in future that will be added to make it more transparent.

💬 Comments Over Time


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In the given duration there were a total of 201 comments which were made under the posts. According to this data the most of the comments were made on 13 of May which are 53 and similarly the highest number of comments were made published on 16 May which are 54 comments.

📅 Date🔢 Count📊 % of Total📈 Trend
2025-05-1263.0%🔽
2025-05-135326.4%📈
2025-05-142512.4%📉
2025-05-15136.5%📉
2025-05-165426.9%📈
2025-05-172713.4%📉
2025-05-182311.4%📉

👥 Top Commenters

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🏅 Rank👤 Author💬 Comments📊 % of Total🥇 Medal
1hudamalik20189.0%🥇
2miftahulrizky157.5%🥈
3willeusz147.0%🥉
4mohammadfaisal136.5%🏅
5natz04105.0%🏅
6huraira5073.5%🏅
7jswit63.0%🏅
8oswaldocuarta63.0%🏅
9whalewinners63.0%🏅
10max-pro52.5%🏅

This is the data about the commentators. It has shown the top 10 commentators. From these top 10 commentators hudamalik20 is at the top who made 18 comments and similarly miftahulrizky is at the second number and willeusz is at the third number. The visual chart clearly displays the top 10 commentators.

📊 Summary of Engagement


📈 Key Metrics

  • Total Posts: 36 📄
  • Total Comments: 201 💬
  • Comments/Post Ratio: 5.58 📊
  • Most Active Commenter: hudamalik20 (18 comments) 👑
  • Most Active Author: hamzayousafzai (2 posts) ✍️
  • Most Used Tag: steemexclusive (28 occurrences) 🏷️
  • Top Community: Steem For Pakistan (1 posts) 🏢

This is the complete summary of the report analysis. I see only one problem in the summary which I have mentioned many times and the developer is already working on this to solve this problem.


So in this way you can also generate reports either for the community or for the specific tag. I have explained both statistics features in detail with live working in the videos. If you need further assistance while using the statistics tool then feel free to ask me or contact the dev.

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Curated by @kafio