Facebook Metrics
Donated on 8/4/2016
Facebook performance metrics of a renowned cosmetic's brand Facebook page.
Dataset Characteristics
Multivariate
Subject Area
Business
Associated Tasks
Regression
Feature Type
Integer
# Instances
500
# Features
18
Dataset Information
Additional Information
The data is related to posts' published during the year of 2014 on the Facebook's page of a renowned cosmetics brand. This dataset contains 500 of the 790 rows and part of the features analyzed by Moro et al. (2016). The remaining were omitted due to confidentiality issues.
Has Missing Values?
No
Introductory Paper
By Sérgio Moro, P. Rita, Bernardo Vala. 2016
Published in Journal of Business Research
Variables Table
| Variable Name | Role | Type | Description | Units | Missing Values |
|---|---|---|---|---|---|
| Page total likes | Feature | Integer | no | ||
| Type | Feature | Categorical | no | ||
| Category | Feature | Integer | no | ||
| Post Month | Feature | Integer | no | ||
| Post Weekday | Feature | Integer | no | ||
| Post Hour | Feature | Integer | no | ||
| Paid | Feature | Continuous | no | ||
| Lifetime Post Total Reach | Feature | Integer | no | ||
| Lifetime Post Total Impressions | Feature | Integer | no | ||
| Lifetime Engaged Users | Feature | Integer | no |
0 to 10 of 19
Additional Variable Information
It includes 7 features known prior to post publication and 12 features for evaluating post impact (see Tables 2 and 3 from Moro et al., 2016 - complete reference in the 'Citation Request')
Dataset Files
| File | Size |
|---|---|
| dataset_Facebook.csv | 37 KB |
| Facebook_metrics.txt | 1.6 KB |
Reviews
There are no reviews for this dataset yet.
pip install ucimlrepo
from ucimlrepo import fetch_ucirepo # fetch dataset facebook_metrics = fetch_ucirepo(id=368) # data (as pandas dataframes) X = facebook_metrics.data.features y = facebook_metrics.data.targets # metadata print(facebook_metrics.metadata) # variable information print(facebook_metrics.variables)
Moro, S., Rita, P., & Vala, B. (2016). Facebook Metrics [Dataset]. UCI Machine Learning Repository. https://doi.org/10.24432/C5QK55.
Keywords
Creators
Srgio Moro
Paulo Rita
Bernardo Vala
DOI
License
This dataset is licensed under a Creative Commons Attribution 4.0 International (CC BY 4.0) license.
This allows for the sharing and adaptation of the datasets for any purpose, provided that the appropriate credit is given.