Datasets:
metadata
language:
- en
license: afl-3.0
size_categories:
- 1K<n<10K
task_categories:
- text-generation
tags:
- ghana
- electricity
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
dataset_info:
features:
- name: Oper Day
dtype: string
- name: Hour Ending
dtype: int64
- name: HB_BUSAVG
dtype: float64
- name: HB_HOUSTON
dtype: float64
- name: HB_HUBAVG
dtype: float64
- name: HB_NORTH
dtype: float64
- name: HB_PAN
dtype: float64
- name: HB_SOUTH
dtype: float64
- name: HB_WEST
dtype: float64
- name: LZ_AEN
dtype: float64
- name: LZ_CPS
dtype: float64
- name: LZ_HOUSTON
dtype: float64
- name: LZ_LCRA
dtype: float64
- name: LZ_NORTH
dtype: float64
- name: LZ_RAYBN
dtype: float64
- name: LZ_SOUTH
dtype: float64
- name: LZ_WEST
dtype: float64
splits:
- name: train
num_bytes: 23352
num_examples: 168
download_size: 24020
dataset_size: 23352
Load Dataset
pip install datasets
from datasets import load_dataset
electricity = load_dataset("worldboss/electricity-prices", split="train")
pd.DataFrame(electricity).head()
Author
The data was constructed by Theophilus Siameh ([email protected]).