First-Person Data Explorer

🪐Explore data through immersive, interactive 3D environments⭐

[First-Person Data Explorer @FPDExplorer]

Prop explorer is live in FPDE on Steam!

Rows -> Objects
Columns -> Properties

- Drag & Drop Rows into the scene
- Random Projection Coloring
- Similarity Networks
- K-Means Clustering
- And they dance!

Explore your data in color, size and motion ~

[First-Person Data Explorer @FPDExplorer]

🎼Data Becomes Melody in the Prop Explorer Sound Update — live on Steam!

How can data sing?

The (very) experimental system uses two deterministic random-projection passes and a K-Means clustering pass to turn each row of data into a stable 16-step musical fingerprint (one bar of melody).

First Random Projection is for Pitch:
Each row’s normalized feature values are projected into 16 pitch scores. These are bucketed into harmonic frequencies: C, E, G, or high C.

Second Random Projection is for Rhythm:
A separate 16-step projection decides which notes are heard. The four strongest rhythm scores become the audible steps for that prop.

K-Means Clustering is for Octave:
Finally, props are grouped into octaves using 5-group K-Means clustering. Rows are clustered by similarity, then each cluster’s centroid average determines whether that group is assigned to a lower or higher octave.

The result is a spatial data ensemble where each row gets its own musical voice. Similar rows tend to have similar melodies and voices.

Data can sing!

[First-Person Data Explorer @FPDExplorer]

A new way of experiencing data is coming soon to the Prop Explorer🎼

[First-Person Data Explorer @FPDExplorer]

Scatter Plot Update 1 is Live on Steam!

- 50,000+ row csv support
- 150,000+ renderable dots across sets
- Marquee selection
- Cross-set highlighting
- Hide, color, fade and customize dots/sets
- Linear projection trend lines
- Jitter controls
- Sparse and missing-value datasets now supported

This update turns the scatter plot into a much stronger large-data exploration tool!

[First-Person Data Explorer @FPDExplorer]

A scatter plot performance mode will soon allow for larger datasets. Update coming within the next few weeks!

[First-Person Data Explorer @FPDExplorer]

Datasets with missing values will soon be handled better by the Scatter Plot Explorer.

[First-Person Data Explorer @FPDExplorer]

@techartist_ That’s pretty!

[First-Person Data Explorer @FPDExplorer]

Transparency, color coding and scaling for individual sets will be available soon in the scatter plot!

[First-Person Data Explorer @FPDExplorer]

@hive_echo These are so cool!

[First-Person Data Explorer @FPDExplorer]

Highlighting and a hide toggle is coming soon to the scatter plot.

[First-Person Data Explorer @FPDExplorer]

Working on an easier way to get info out of the scatter plot explorer.

[First-Person Data Explorer @FPDExplorer]

Legends at the top of the menu will hopefully make it easier to see what is controlling what.

[First-Person Data Explorer @FPDExplorer]

Jitter will be coming to the Scatter Plot Explorer!

[First-Person Data Explorer @FPDExplorer]

Update to Scatter Plot Explorer is coming soon! You'll be able to adjust axis scaling independently and after spawn.

[First-Person Data Explorer @FPDExplorer]

You can use a marquee tool to drag multiple rows into a group.

[First-Person Data Explorer @FPDExplorer]

@uxorio 😂

[First-Person Data Explorer @FPDExplorer]

The Bar Explorer Update is live in FPDE!
Updates include:
- Auto Grouping from Dataset Labeling
- Custom Grouping (make a new group, drag and drop columns/rows into it)
- Group Aggregation + Color Mapping
- Row/Column sorting by values or totals
- Random projection coloring (see hidden structure in your data)
- Similarity clustering (nearest insertion ordering)

[First-Person Data Explorer @FPDExplorer]

An update to the Bar Explorer will be coming tomorrow!

[First-Person Data Explorer @FPDExplorer]

An update to the Bar Explorer is coming soon. Create and assign custom groups - aggregate, filter and color.

[First-Person Data Explorer @FPDExplorer]

The Bar Explorer update will include a new feature where rows/columns are grouped based on labeling in the CSV. You'll be able to expand and collapse based on that grouping.

[First-Person Data Explorer @FPDExplorer]

Filtering Columns/Rows will also be doable in the Bar Explorer soon.