Konstantine ✓

@constantine8527 · Cameroon · joined 31 May 2024

Data Scientist | Helping beginners & pros master data analysis with Excel + Python | 5K+ Learners empowered | Author: Data Analysis with Excel/Python in 90 days

11 421Followers

10 123Following

79 920Posts total

2.2KViews on collected posts

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Konstantine ✓@constantine852720 Sep

I'm currently following 10.1k people Are you among the 10.1k people ? If not indicated let me engage and follow your account 48 views · 1 likes · 1 reposts · 0 replies Open on X →

Konstantine ✓@constantine852720 Sep

Amen 36 views · 0 likes · 1 reposts · 0 replies Open on X →

Konstantine ✓@constantine852720 Sep

Most of the world problem can be solve with money Most people just need money to be okay 63 views · 4 likes · 2 reposts · 2 replies Open on X →

Konstantine ✓@constantine852720 Sep

I dey church What prayer point do you want? 63 views · 7 likes · 5 reposts · 2 replies Open on X →

Konstantine ✓@constantine852720 Sep

@el2daquest You have been an amazing soul to the community, people like you are rare thank you to for what you have done to the massive growth family. God will answer all your prayers fam 🙏🏾💯 500 views · 9 likes · 2 reposts · 0 replies Open on X →

Konstantine ✓@constantine852710 Sep

@constantine8527 Exactly. Data is only powerful when you know what it’s telling you. Turning raw numbers into clear insights is where smarter decisions and real business growth begin. 21 views · 1 likes · 0 reposts · 1 replies Open on X →

Konstantine ✓@constantine85279 Sep

Every sale. Every customer interaction. Every website visit. Every transaction. Companies are collecting data constantly. The real question is: 👉 Who is analyzing it? That is where Data Analysts and BI professionals come in. 28 views · 2 likes · 0 reposts · 0 replies Open on X →

Konstantine ✓@constantine85279 Sep

Companies generate huge amounts of data every single day. But data alone is not enough - it must be transformed into meaningful insights that support better business decisions. Learn how companies: 📊Turn data into insights - decision - business growth. https://t.co/qNO3thIArN 1.5K views · 72 likes · 35 reposts · 7 replies Open on X →

เทียบกับบัญชีขนาดเดียวกัน

8 โพสต์จาก 90 วันที่ผ่านมา เทียบกับช่วง 10K–100K ผู้ติดตาม เข้าถึงคนน้อยกว่าบัญชีรุ่นเดียวกัน แต่ดึงการมีส่วนร่วมได้แรงกว่ามาก.

ยอดดูมัธยฐาน56บัญชีนี้924ค่ามัธยฐานของ 10K–100K

การเข้าถึง, %0.49%บัญชีนี้3.62%ค่ามัธยฐานของ 10K–100K

การมีส่วนร่วม, %7.47%บัญชีนี้1.52%ค่ามัธยฐานของ 10K–100K

ตัวชี้วัด	บัญชีนี้	ค่ามัธยฐานของ 10K–100K	อัตราส่วน
ยอดดูมัธยฐานต่อโพสต์	56	924	0.06×
การเข้าถึง (ยอดดู ÷ ผู้ติดตาม)	0.49%	3.62%	0.13×
อัตราการมีส่วนร่วม	7.47%	1.52%	4.91×

บัญชีอื่นในช่วงนี้ → เปรียบเทียบกับบัญชีอื่น → ค่าอ้างอิงเหล่านี้คำนวณอย่างไร →

Growth & engagement

How the posts we collected actually performed: views and reaction rate post by post, what the audience did with them, and where the follower count goes.

Views per post

1.5K9 Sep

2110 Sep

50020 Sep

Last 8 collected posts, oldest on the left. The scale is logarithmic: one post can outrun the rest a hundred times over.

Engagement rate per post

7.80%9 Sep

7.14%

9.52%10 Sep

2.60%20 Sep

22.22%

12.70%

2.78%

4.17%

Reactions — likes, reposts, replies and quotes — divided by views. Median for 10K–100K accounts is 1.52%.

What the audience does

Likes57.8%96 in total

Reposts27.7%46 in total

Replies7.2%12 in total

Quotes2.4%4 in total

Bookmarks4.8%8 in total

Share of every reaction we collected for this account. Replies mean argument, reposts mean endorsement, bookmarks mean the post was worth keeping.

The follower curve appears once this account has two daily snapshots — we take one a day, and this one is on its first.

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เทียบกับบัญชีขนาดเดียวกัน

Growth & engagement

Views per post

Engagement rate per post

What the audience does

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