TL;DR:
In this project, we systematically measure watermelons using 38 different parameters in an effort to predict watermelon sweetness based on its externally measurable characteristics. Generally speaking, the metrics may be grouped as follows:
- Color: Coloration on the exterior of the watermelon, including bands, scarring, and yellow spot.
- Acoustics: Frequency analysis of “knocking” on the watermelon in different locations.
- Structure: The dimensions of the watermelon, including its ability to stand upright.
- Surface: Identification and surface area of scarring and the yellow spot.
Introduction
The Problem
In
The Company
As
Data Collection
In-the-moment metric extraction may include concurrent viewer retention, livestream sales metrics, and chatroom activity; in the long-term, metrics like average impact of event giveaways and long-term viewer retention can be examined. Relationships between livestream events and viewer retention provide statistically significant feedback to Cyclops about how to improve the structure of their next livestream — the long viewers are retained, the longer they have to pitch their products. Each livestream builds an ever-growing dataset of business-to-consumer (B2C) interactions unique to Cyclops’ development.
The Event
Registration
Prior
Attendance
Each
Within
Giveaways
During
Data Collection
Scraping
For
When
Transcript parsing
After
Data Analysis
Concurrent viewers
Concurrent
Additionally,
The impact of events
During
Fig. 4 s
Event timing
The
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Analyzing the data left to right reveals some interesting points:
Results
Once
Of
Conclusion
The