SFB-TRR 161 A03 "Quantification of Visual Analytics Transformations and Mappings"

Featured Dataverses

In order to use this feature you must have at least one published or linked dataverse.

Publish Dataverse

Are you sure you want to publish your dataverse? Once you do so it must remain published.

Publish Dataverse

This dataverse cannot be published because the dataverse it is in has not been published.

Delete Dataverse

Are you sure you want to delete your dataverse? You cannot undelete this dataverse.

Publication Year: 2022

1 to 10 of 43 Results

variance-800.tab Sep 27, 2022 - Replication Data for: "Slope-Dependent Rendering of Parallel Coordinates to Reduce Density Distortion and Ghost Clusters" Tabular Data - 76.4 KB - 6 Variables, 850 Observations - UNF:6:dHHpAC3qiIpFizO+EWIYiA== This file contains a synthetic dataset. It has five numeric dimensions. The data records of this dataset describe three classes also forming clusters in all dimensions. This dataset has 800 records.
variance-400.tab Sep 27, 2022 - Replication Data for: "Slope-Dependent Rendering of Parallel Coordinates to Reduce Density Distortion and Ghost Clusters" Tabular Data - 40.4 KB - 6 Variables, 450 Observations - UNF:6:9HyN/2jlcVdPuuq52hIwpQ== This file contains a synthetic dataset. It has five numeric dimensions. The data records of this dataset describe three classes also forming clusters in all dimensions. This dataset has 400 records.
variance-200.tab Sep 27, 2022 - Replication Data for: "Slope-Dependent Rendering of Parallel Coordinates to Reduce Density Distortion and Ghost Clusters" Tabular Data - 22.5 KB - 6 Variables, 250 Observations - UNF:6:UEtK771CeC5HA0oYlouNfw== This file contains a synthetic dataset. It has five numeric dimensions. The data records of this dataset describe three classes also forming clusters in all dimensions. This dataset has 200 records.
variance-100.tab Sep 27, 2022 - Replication Data for: "Slope-Dependent Rendering of Parallel Coordinates to Reduce Density Distortion and Ghost Clusters" Tabular Data - 13.5 KB - 6 Variables, 150 Observations - UNF:6:4FduUnJwRNYGTwDWaUbWVw== This file contains a synthetic dataset. It has five numeric dimensions. The data records of this dataset describe three classes also forming clusters in all dimensions. This dataset has 100 records.
uniform-800.tab Sep 27, 2022 - Replication Data for: "Slope-Dependent Rendering of Parallel Coordinates to Reduce Density Distortion and Ghost Clusters" Tabular Data - 114.0 KB - 9 Variables, 800 Observations - UNF:6:Xckxodnqrq7XKB7pkEERDQ== This file contains a synthetic dataset. It has eight numeric dimensions. The data records of this dataset describe uniform noise. This dataset has 800 records.
uniform-400.tab Sep 27, 2022 - Replication Data for: "Slope-Dependent Rendering of Parallel Coordinates to Reduce Density Distortion and Ghost Clusters" Tabular Data - 57.0 KB - 9 Variables, 400 Observations - UNF:6:YDkCJkbQEHrZ8rtkXyHDLQ== This file contains a synthetic dataset. It has eight numeric dimensions. The data records of this dataset describe uniform noise. This dataset has 400 records.
uniform-200.tab Sep 27, 2022 - Replication Data for: "Slope-Dependent Rendering of Parallel Coordinates to Reduce Density Distortion and Ghost Clusters" Tabular Data - 28.5 KB - 9 Variables, 200 Observations - UNF:6:NMP7PGDcDMEe7v0riGb5uQ== This file contains a synthetic dataset. It has eight numeric dimensions. The data records of this dataset describe uniform noise. This dataset has 200 records.
uniform-100.tab Sep 27, 2022 - Replication Data for: "Slope-Dependent Rendering of Parallel Coordinates to Reduce Density Distortion and Ghost Clusters" Tabular Data - 14.3 KB - 9 Variables, 100 Observations - UNF:6:UOGv/0HDWoM5g2/u8CzeSg== This file contains a synthetic dataset. It has eight numeric dimensions. The data records of this dataset describe uniform noise. This dataset has 100 records.
synthetic-2-800.tab Sep 27, 2022 - Replication Data for: "Slope-Dependent Rendering of Parallel Coordinates to Reduce Density Distortion and Ghost Clusters" Tabular Data - 214.3 KB - 9 Variables, 1500 Observations - UNF:6:6RBJYOsc+MSxfcQI7nBFdw== This file contains a synthetic dataset. It has eight numeric dimensions. The data records of this dataset describe four classes. The classes are not distinguishable in the three two dimensions. The remaining dimensions are the same as in synthetic-1-800.csv. This dataset has 800...
synthetic-2-400.tab Sep 27, 2022 - Replication Data for: "Slope-Dependent Rendering of Parallel Coordinates to Reduce Density Distortion and Ghost Clusters" Tabular Data - 100.1 KB - 9 Variables, 700 Observations - UNF:6:Xi5IToaNJ/pRIB5HO/Jr7w== This file contains a synthetic dataset. It has eight numeric dimensions. The data records of this dataset describe four classes. The classes are not distinguishable in the three two dimensions. The remaining dimensions are the same as in synthetic-1-400.csv. This dataset has 400...

variance-800.tab

Sep 27, 2022 - Replication Data for: "Slope-Dependent Rendering of Parallel Coordinates to Reduce Density Distortion and Ghost Clusters"

Tabular Data - 76.4 KB - 6 Variables, 850 Observations -

This file contains a synthetic dataset. It has five numeric dimensions. The data records of this dataset describe three classes also forming clusters in all dimensions. This dataset has 800 records.

variance-400.tab

Sep 27, 2022 - Replication Data for: "Slope-Dependent Rendering of Parallel Coordinates to Reduce Density Distortion and Ghost Clusters"

Tabular Data - 40.4 KB - 6 Variables, 450 Observations -

This file contains a synthetic dataset. It has five numeric dimensions. The data records of this dataset describe three classes also forming clusters in all dimensions. This dataset has 400 records.

variance-200.tab

Sep 27, 2022 - Replication Data for: "Slope-Dependent Rendering of Parallel Coordinates to Reduce Density Distortion and Ghost Clusters"

Tabular Data - 22.5 KB - 6 Variables, 250 Observations -

This file contains a synthetic dataset. It has five numeric dimensions. The data records of this dataset describe three classes also forming clusters in all dimensions. This dataset has 200 records.

variance-100.tab

Sep 27, 2022 - Replication Data for: "Slope-Dependent Rendering of Parallel Coordinates to Reduce Density Distortion and Ghost Clusters"

Tabular Data - 13.5 KB - 6 Variables, 150 Observations -

This file contains a synthetic dataset. It has five numeric dimensions. The data records of this dataset describe three classes also forming clusters in all dimensions. This dataset has 100 records.

uniform-800.tab

Sep 27, 2022 - Replication Data for: "Slope-Dependent Rendering of Parallel Coordinates to Reduce Density Distortion and Ghost Clusters"

Tabular Data - 114.0 KB - 9 Variables, 800 Observations -

This file contains a synthetic dataset. It has eight numeric dimensions. The data records of this dataset describe uniform noise. This dataset has 800 records.

uniform-400.tab

Sep 27, 2022 - Replication Data for: "Slope-Dependent Rendering of Parallel Coordinates to Reduce Density Distortion and Ghost Clusters"

Tabular Data - 57.0 KB - 9 Variables, 400 Observations -

This file contains a synthetic dataset. It has eight numeric dimensions. The data records of this dataset describe uniform noise. This dataset has 400 records.

uniform-200.tab

Sep 27, 2022 - Replication Data for: "Slope-Dependent Rendering of Parallel Coordinates to Reduce Density Distortion and Ghost Clusters"

Tabular Data - 28.5 KB - 9 Variables, 200 Observations -

This file contains a synthetic dataset. It has eight numeric dimensions. The data records of this dataset describe uniform noise. This dataset has 200 records.

uniform-100.tab

Sep 27, 2022 - Replication Data for: "Slope-Dependent Rendering of Parallel Coordinates to Reduce Density Distortion and Ghost Clusters"

Tabular Data - 14.3 KB - 9 Variables, 100 Observations -

This file contains a synthetic dataset. It has eight numeric dimensions. The data records of this dataset describe uniform noise. This dataset has 100 records.

synthetic-2-800.tab

Sep 27, 2022 - Replication Data for: "Slope-Dependent Rendering of Parallel Coordinates to Reduce Density Distortion and Ghost Clusters"

Tabular Data - 214.3 KB - 9 Variables, 1500 Observations -

This file contains a synthetic dataset. It has eight numeric dimensions. The data records of this dataset describe four classes. The classes are not distinguishable in the three two dimensions. The remaining dimensions are the same as in synthetic-1-800.csv. This dataset has 800...

synthetic-2-400.tab

Sep 27, 2022 - Replication Data for: "Slope-Dependent Rendering of Parallel Coordinates to Reduce Density Distortion and Ghost Clusters"

Tabular Data - 100.1 KB - 9 Variables, 700 Observations -

Add Data

Share Dataverse

Link Dataverse

Reset Modifications