Analysing Census Data Using Python: Identifying Priority Districts for "Beti Bachao Beti Padhao" ✨🔥

This project helped me to explore the field of data analytics 📈 and I learned a lot while working on this project .
this was the part of 'Placement guidance series' by @explorinclubs
Aim of this project is to find the top 10 districts where implementing Beti Bachao Beti Padhao scheme could have a significant impact.
I used my logical ability to decide how can I find top 10 districts from such a huge dataset. I decided to use
1. 'sex ratio of total population'
2. 'sex ratio of SC/ST population'
3. 'availability of government secondary schools in districts'.
Based on these three factors,
I came to a conclusion of finding 10 districts i.e. Chandigarh, South of NCT of Delhi, Hardoi, Kannauj, Etawah, Auraiya, Kanpur Dehat, Jalaun, Hamirpur and Morena, where implementation of this campaign will have a significant impact.
and here is the Google colab code link of this project:
colab.research.google.com/dri...
#data #analysis #miniproject #python #google #tutorial
#explorin #DareToDream #dreamer #technophiles #betibachaobetipadhao #modi

[@deeptishinghal6914]

Brilliant 👏🏼👏🏼

[@ommaheshwari9437]

Great work

[@TECHNOPHILES_]

Thank you so much 😀

[@shawcreation36]

Well explained 😊

[@TECHNOPHILES_]

Glad you liked it ❤️

[@DhairyaSarswat]

Excellent!

[@TECHNOPHILES_]

Glad you liked it!
😁

[@p-spot2355]

Speaking✅️
Knowledge ✅️
Personality ✅️
Humour✅️
Passion✅️
Concluded : 10/10 ❤

[@p-spot2355]

Nice start .
Keep it up!

[@TECHNOPHILES_]

Toh video dekh kr project bhi banalo ab ❤️💕🫂

[@TECHNOPHILES_]

Thanks bro ✨