PyData ✓

@PyData · RT, Like, Follow ≠ Endorsement · joined 11 Aug 2012

A community for developers and users of open source scientific tools with 200K+ people 🧑‍🔬 🧑‍💻, by @NumFOCUS. Join our Discord: https://t.co/rmBFaQvdMM

76 372Followers

697Following

12 118Posts total

9.3KViews on collected posts

Derniers posts

PyData ✓@PyData10 Sep

Happy kick-off day to PyData Amsterdam! We can't wait to see what comes out of the collaboration, learning, and networking over the next few days. Be sure to tag us with everything you've learned! https://t.co/ix49SwS9lw

1.5K views · 9 likes · 1 reposts · 0 replies Open on X →

PyData ✓@PyData9 Sep

This. Is. IT. There is just one day left before PyData Amsterdam takes the stage! If you've been on the fence, this is your sign to get your tickets NOW. Get your tickets at https://t.co/NjZUcaCpVb https://t.co/L9XRFWPLZj

1.5K views · 6 likes · 0 reposts · 1 replies Open on X →

PyData ✓@PyData8 Sep

*insert ticking clock* Time is running out! There are just 2 days until we kick-off PyData Amsterdam! Don't wait, get your tickets now at https://t.co/UvtBZFNhbe https://t.co/afjunBu6vv

1.5K views · 2 likes · 0 reposts · 1 replies Open on X →

PyData ✓@PyData7 Sep

Get your tickets now: https://t.co/6UQtsi8mkI 275 views · 1 likes · 0 reposts · 0 replies Open on X →

PyData ✓@PyData7 Sep

3 days until PyData Amsterdam! We have one more keynote to highlight before the conference kicks off. Christophe Blefari (Co-founder, nao Labs) looks ahead with“Analytics Future,” which asks the question: What do we want the future of analytics to be? Time is running out to get

2.1K views · 4 likes · 0 reposts · 1 replies Open on X →

PyData ✓@PyData6 Sep

Get your tickets now at https://t.co/6UQtsi8mkI 362 views · 0 likes · 0 reposts · 0 replies Open on X →

PyData ✓@PyData6 Sep

4 days until PyData Amsterdam! Here's another keynote to check out: Nadieh Bremer (Data Visualization Designer, Visual Cinnamon) closes the visualization conversation with ”Amidst the Visualization and Art of Data,” exploring where data craft meets art. Don't miss out on this ht

2.2K views · 8 likes · 1 reposts · 1 replies Open on X →

Face aux comptes de taille comparable

7 posts des 90 derniers jours, à côté de la tranche de 10K–100K abonnés. en dessous de ses pairs à la fois en portée et en engagement.

Vues médianes1 481ce compte1 084médiane pour 10K–100K

Portée, %1.94%ce compte3.91%médiane pour 10K–100K

Engagement, %0.36%ce compte1.69%médiane pour 10K–100K

Indicateur	Ce compte	Médiane pour 10K–100K	Rapport
Vues médianes par post	1 481	1 084	1.37×
Portée (vues ÷ abonnés)	1.94%	3.91%	0.50×
Taux d'engagement	0.36%	1.69%	0.22×

Autres comptes de cette tranche → Comparer avec un autre compte → Comment ces repères sont établis →

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

2.2K6 Sep

362

2.1K7 Sep

275

1.5K8 Sep

1.5K9 Sep

1.5K10 Sep

Last 7 collected posts, oldest on the left. The scale is logarithmic: one post can outrun the rest a hundred times over.

Engagement rate per post

0.46%6 Sep

0.00%

0.24%7 Sep

0.36%

0.20%8 Sep

0.48%9 Sep

0.68%10 Sep

Reactions — likes, reposts, replies and quotes — divided by views. Median for 10K–100K accounts is 1.69%.

What the audience does

Likes76.9%30 in total

Reposts5.1%2 in total

Replies10.3%4 in total

Bookmarks7.7%3 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.