Helping Content Creators To analyse the best timing to post on social media from a csv file
- SHOW ALL TABLE
- SHOW THE MOST VIEWED
date | link | posted at | 30min | 1hr | 2 hrs | 24 hrs | post type |
---|---|---|---|---|---|---|---|
31/12/24 | you... | 21:59 | 100K | 200K | - | - | video |
9/1/25 | htt... | 10:10 | 2000 | 2500 | 3204 | 23K | |
10/1/25 | htt... | 10:31 | 15K | 25K | 30K | 120K | |
11/1/25 | htt... | 12:30 | 230K | 500K | 1M+ | 3M+ |
This table shows your views in different timespan
0.5 hours | 1 hour | 2 hours | 24 hours |
---|---|---|---|
100000 | 200000 | 0 | 0 |
2000 | 2500 | 3204 | 23000 |
15000 | 25000 | 30000 | 120000 |
230000 | 500000 | 1200000 | 3500000 |
Example:
User will be asked:
choose timeline: | 0.5 hours | 1 hour | 2 hours | 24 hours
input by typing the number: 2
== here`s the result of your views in 2.0 ==
posted at views 21:59 0 10:10 3204 10:31 30000 12:30 1200000
maximum views in 2.0 hours is 1200000 video posted at 12:30
This maximum views help highlight the most views of a video in different timespans
git clone [email protected]:sasakiRoo/socmed_viewership_analysis.git
git clone https://github.com/sasakiRoo/socmed_viewership_analysis.git
python3 index.py
Feel free to contribute by submitting pull requests with better logic or design improvements.