Electricity

Name: Electricity
Creator: Helix
Keywords: dataset, discovered, format:csv, hugging face, language:en, license:cc, size_categories:10K<n<100K, task_categories:tabular-classification

Hugging Face

Electricity The Electricity dataset from the OpenML repository. Configurations and tasks Configuration Task Description electricity Binary classification Has the electricity cost gone up? Usage from datasets import load_dataset dataset = load_dataset("mstz/electricity", "electricity")["train"]

mstz--electricity.parquet 500 rows mstz/electricity

Open in Helix Read research report

Ask a question about this data

Type any question in plain English — Helix builds the chart with AI. Sign in to run it and save your charts.

line chart of nswprice over date scatter period vs nswprice histogram of nswprice correlation heatmap of all numeric columns

Data preview

500 rows · 9 columns · showing first 12

#	day integer	period float	nswprice float	nswdemand float	vicprice float	vicdemand float	transfer float	is_up integer
1	2	0	0.05644	0.4392	0.003467	0.4229	0.4149	1
2	2	0.02128	0.0517	0.4151	0.003467	0.4229	0.4149	1
3	2	0.04255	0.05149	0.385	0.003467	0.4229	0.4149	1
4	2	0.06383	0.04548	0.3146	0.003467	0.4229	0.4149	1
5	2	0.08511	0.04248	0.2511	0.003467	0.4229	0.4149	0
6	2	0.1064	0.04116	0.2075	0.003467	0.4229	0.4149	0
7	2	0.1277	0.04116	0.1718	0.003467	0.4229	0.4149	0
8	2	0.1489	0.04116	0.1528	0.003467	0.4229	0.4149	0
9	2	0.1702	0.04116	0.1349	0.003467	0.4229	0.4149	0
10	2	0.1915	0.04116	0.1406	0.003467	0.4229	0.4149	0
11	2	0.2128	0.04437	0.169	0.003467	0.4229	0.4149	1
12	2	0.234	0.04987	0.2124	0.003467	0.4229	0.4149	1

Auto-generated charts

Electricity: 500 rows by 9 columns. These exploratory charts are generated automatically from the data - open the dataset in Helix to ask your own questions.

Rows500

Columns9

Numeric cols9

Charts

date vs day

Relationship between date and day.

Distribution of nswprice

Histogram of nswprice values.

Correlation of numeric columns

Pearson correlation between numeric columns.

Interesting queries to try

Columns

date datetime
day datetime
period numeric
nswprice numeric
nswdemand numeric
vicprice numeric
vicdemand numeric
transfer numeric
is_up numeric