Log in to start analyzing data.

Sample Selector

Sample Selector is a tool for creating and editing samples, or groups of data you compare across—they're not "samples" in the statistical sense, but more like filters.

By default, a single sample exists: "All Data". With the Sample Selector, you can create new samples to organize your data.

You can use samples to:

A sample is composed of one or more filters, specific conditions that narrow down your sample.

Creating a sample

The general process for creating a sample is to:

The effect of multiple filters

DataShop interprets each filter after the first as an additional restriction on the data that is included in the sample. This is also known as a logical "AND". You can see the results of multiple filters in the sample preview as soon as all filters are "saved".

Help

Australian Institute Python Datasets (private)

Datasets Terms of Use

PI
Aleksandra Klasnja-Milicevic
Data Provider
Description

Tags

Separate tags with commas.
External Links

Datasets
Dataset Area/ Subject Dates Data Last Modified Transactions KC Models Status
Computer Science/ Machine Learning and Data Science Aug 10, 2020 - Oct 11, 2020 Sep 22, 2021 12,982 6
Computer Science/ Machine Learning and Data Science Nov 11, 2020 - Nov 29, 2020 Jan 3, 2022 9,717 4
Computer Science/ Machine Learning and Data Science Jan 12, 2021 - Jan 31, 2021 Jan 3, 2022 12,125 4
Computer Science/ Machine Learning and Data Science Feb 10, 2021 - Feb 27, 2021 Jan 3, 2022 11,237 4
Computer Science/ Machine Learning and Data Science Mar 16, 2021 - Apr 26, 2021 Jan 3, 2022 11,512 4
Computer Science/ Machine Learning and Data Science May 4, 2021 - Jun 11, 2021 Jan 3, 2022 11,305 4
Computer Science/ Machine Learning and Data Science Jul 13, 2021 - Aug 23, 2021 Jan 3, 2022 12,383 4
Computer Science/ Machine Learning and Data Science Sep 1, 2021 - Oct 7, 2021 Jan 3, 2022 11,296 4