ML_dataset

Open datasets from Machine Learning Project

Statistics Poland ECOICOP Dataset

Description: Excel sheet of the names of 17,099 products that were web scraped and anonymized from three online shops. The products were classified to European Classification of Individual Consumption according to Purpose (ECOICOP) categories manually by non-experts. Original dataset was in Polish and was translated to different languages provided in different sheets. The translation was carried out using an on-line translator and was not reviewed for accuracy or appropriateness.
Source: Statistics Poland
Preview - Sheet "Polish" (header and first three rows)

produkt	kategoria
Hejki - Emotki lizaki ręcznie robione o smakach owocowych	Wyroby cukiernicze
100% Pur jus d orange sok pomarańczowy z miąższe...	Soki owocowe i warzywne
100% sukraloza bez cukru (substancje słodzące)	Sztuczne substytuty cukru

produkt	kategoria
Hejki - Emotes handmade lollipops with fruit flavors	Confectionery products
100% Pur jus d orange orange juice with pulp ...	Fruit and vegetable juices
100% sucralose without sugar (sweeteners)	Artificial sugar substitutes

df = pd.read_excel('https://raw.githubusercontent.com/UNECE/ML_dataset/master/Stats%20Poland%20ECOICOP%20data.xlsx', sheet_name = 'Polish')

You can choose data in: Dutch, English, French, German, Italian, Polish or Spanish, by changing the value of the parameter sheet_name.

Description: Excel sheet with quarterly electricity supplied (e.g. combustible, hyrdo, nuclear), economic indicator (e.g. GDP, GVA) and other variables (e.g. population, sunspots) from 2000 Q1 to 2019 Q1.
Source: Buelens, Bart, & Goyens, Anneleen. (2020). Energy Balance Flanders quarterly and monthly data and related auxiliary data (Version 1.0.0) [Data set]. Zenodo. http://doi.org/10.5281/zenodo.3596695
Preview (header and first three rows)

df = pd.read_excel('https://zenodo.org/record/3596695/files/VITO_EnergyBalanceDataML.xlsx', sheet_name = 'quarterly_txt')