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

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Publication Year: 2022 File Type: Tabular Data

1 to 10 of 42 Results

correlations-100.tab Sep 27, 2022 - Replication Data for: "Slope-Dependent Rendering of Parallel Coordinates to Reduce Density Distortion and Ghost Clusters" Tabular Data - 9.0 KB - 6 Variables, 100 Observations - UNF:6:B6Qnhv0vjfsgXsgj4Cw3sA== This file contains a synthetic dataset. It has five numeric dimensions with the following properties: Dimensions 1 and 2 are strongly correlated, dimensions 2 and 3 have a strong inverse correlation, dimensions 2 and 4 are strongly correlated, and dimensions 4 and 5 have a strong...
correlations-200.tab Sep 27, 2022 - Replication Data for: "Slope-Dependent Rendering of Parallel Coordinates to Reduce Density Distortion and Ghost Clusters" Tabular Data - 18.0 KB - 6 Variables, 200 Observations - UNF:6:m3UG8RKHop20WoVRX86OwQ== This file contains a synthetic dataset. It has five numeric dimensions with the following properties: Dimensions 1 and 2 are strongly correlated, dimensions 2 and 3 have a strong inverse correlation, dimensions 2 and 4 are strongly correlated, and dimensions 4 and 5 have a strong...
correlations-400.tab Sep 27, 2022 - Replication Data for: "Slope-Dependent Rendering of Parallel Coordinates to Reduce Density Distortion and Ghost Clusters" Tabular Data - 36.0 KB - 6 Variables, 400 Observations - UNF:6:4ssZpvmFWXvwIwNYAEczCQ== This file contains a synthetic dataset. It has five numeric dimensions with the following properties: Dimensions 1 and 2 are strongly correlated, dimensions 2 and 3 have a strong inverse correlation, dimensions 2 and 4 are strongly correlated, and dimensions 4 and 5 have a strong...
correlations-800.tab Sep 27, 2022 - Replication Data for: "Slope-Dependent Rendering of Parallel Coordinates to Reduce Density Distortion and Ghost Clusters" Tabular Data - 71.9 KB - 6 Variables, 800 Observations - UNF:6:S58mxxJ0M5mXhtwEBd4wNQ== This file contains a synthetic dataset. It has five numeric dimensions with the following properties: Dimensions 1 and 2 are strongly correlated, dimensions 2 and 3 have a strong inverse correlation, dimensions 2 and 4 are strongly correlated, and dimensions 4 and 5 have a strong...
linear-100.tab Sep 27, 2022 - Replication Data for: "Slope-Dependent Rendering of Parallel Coordinates to Reduce Density Distortion and Ghost Clusters" Tabular Data - 42.8 KB - 9 Variables, 300 Observations - UNF:6:PdSrWEez3y/v+I9vh1wCVA== This file contains a synthetic dataset. It has eight numeric dimensions. The data records of this dataset describe linear noise. This dataset has 100 records.
linear-200.tab Sep 27, 2022 - Replication Data for: "Slope-Dependent Rendering of Parallel Coordinates to Reduce Density Distortion and Ghost Clusters" Tabular Data - 85.3 KB - 9 Variables, 600 Observations - UNF:6:0STgAq7ajnWqiaHktdy2Lg== This file contains a synthetic dataset. It has eight numeric dimensions. The data records of this dataset describe linear noise. This dataset has 200 records.
linear-400.tab Sep 27, 2022 - Replication Data for: "Slope-Dependent Rendering of Parallel Coordinates to Reduce Density Distortion and Ghost Clusters" Tabular Data - 171.1 KB - 9 Variables, 1200 Observations - UNF:6:76ZPxinznbNpdEI0XMPw8Q== This file contains a synthetic dataset. It has eight numeric dimensions. The data records of this dataset describe linear noise. This dataset has 400 records.
linear-800.tab Sep 27, 2022 - Replication Data for: "Slope-Dependent Rendering of Parallel Coordinates to Reduce Density Distortion and Ghost Clusters" Tabular Data - 340.9 KB - 9 Variables, 2400 Observations - UNF:6:N76YMbDIK33lATS3I2ZKTg== This file contains a synthetic dataset. It has eight dimensions. The data records of this dataset describe linear noise. This dataset has 800 records.
normal-100.tab Sep 27, 2022 - Replication Data for: "Slope-Dependent Rendering of Parallel Coordinates to Reduce Density Distortion and Ghost Clusters" Tabular Data - 14.2 KB - 9 Variables, 100 Observations - UNF:6:PdONWeCpjfK3bSD5ygAXug== This file contains a synthetic dataset. It has eight dimensions. The data records of this dataset describe normally distributed noise. This dataset has 100 records.
normal-200.tab Sep 27, 2022 - Replication Data for: "Slope-Dependent Rendering of Parallel Coordinates to Reduce Density Distortion and Ghost Clusters" Tabular Data - 28.3 KB - 9 Variables, 200 Observations - UNF:6:tN611hPan4XaT+rGAJ866g== This file contains a synthetic dataset. It has eight dimensions. The data records of this dataset describe normally distributed noise. This dataset has 200 records.

correlations-100.tab

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

Tabular Data - 9.0 KB - 6 Variables, 100 Observations -

This file contains a synthetic dataset. It has five numeric dimensions with the following properties: Dimensions 1 and 2 are strongly correlated, dimensions 2 and 3 have a strong inverse correlation, dimensions 2 and 4 are strongly correlated, and dimensions 4 and 5 have a strong...

correlations-200.tab

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

Tabular Data - 18.0 KB - 6 Variables, 200 Observations -

correlations-400.tab

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

Tabular Data - 36.0 KB - 6 Variables, 400 Observations -

correlations-800.tab

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

Tabular Data - 71.9 KB - 6 Variables, 800 Observations -

linear-100.tab

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

Tabular Data - 42.8 KB - 9 Variables, 300 Observations -

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

linear-200.tab

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

Tabular Data - 85.3 KB - 9 Variables, 600 Observations -

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

linear-400.tab

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

Tabular Data - 171.1 KB - 9 Variables, 1200 Observations -

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

linear-800.tab

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

Tabular Data - 340.9 KB - 9 Variables, 2400 Observations -

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

normal-100.tab

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

Tabular Data - 14.2 KB - 9 Variables, 100 Observations -

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

normal-200.tab

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

Tabular Data - 28.3 KB - 9 Variables, 200 Observations -

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

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