Data Toolbox

(Geo) DataMerger

Mon, 01 Jan 0001 00:00:00 +0000

geo-data-merger.dataviz.jp

What is this tool?

A web-based tool for easily merging geographic data (GeoJSON/TopoJSON) with attribute data (CSV/JSON). It is a convenient data processing tool for when you want to link thematic data (e.g., population, attribute values) to map data.

Features

Load geographic and attribute data…Read GeoJSON/TopoJSON, CSV, and JSON files, and preview their contents.
Key-based join…Join geographic data (Feature properties) with attribute data using a common key column (left join basis).
Remove unnecessary columns…After merging, select and remove unwanted columns from the output via the UI.
Output format selection…Save and download the merged data as GeoJSON/TopoJSON/CSV.

How to use

1. Load geographic and attribute data…Load GeoJSON/TopoJSON on the left side and CSV/JSON on the right side.
1. Specify the join key…Select the column (key) used for joining from each data preview, and verify that they match correctly.
1. Remove unnecessary columns…Select and delete unneeded attribute columns after merging.
1. Export and save…Export the merged data as GeoJSON/TopoJSON/CSV.

Data formats

Input formats
- GeoJSON: Geographic Features (points/lines/polygons) + attributes.
- TopoJSON: A geographic data format that preserves topology (an extension of GeoJSON).
- CSV/JSON: Thematic data to merge (tabular data containing region codes or key-value pairs).
Output formats
- GeoJSON/TopoJSON: Merged geospatial data.
- CSV: Merged tabular data.

3D Surface Chart

Mon, 01 Jan 0001 00:00:00 +0000

dataviz.jp

3D Surface Chart

Visualize 3D data of row × column × value as a color-mapped surface resembling a topographic map

3d-surface-chart.dataviz.jp

What is this tool?

A visualization tool that generates interactive 3D surface charts simply by loading CSV data. It lets you view data with a “row × column × value” structure — such as interest rate yield curves and regional statistics — as a three-dimensional landscape. Rotate and zoom freely with your mouse to intuitively grasp overall trends and local variations in your data.

Features

3D surface rendering — Automatically generates a color-mapped 3D surface from CSV data
Camera presets — Switch between four viewpoints (overview, front, top, side) with one click
Color schemes — Choose from 21 palettes (sequential and diverging). Diverging schemes support a zero-baseline mode
Axis labels — Toggle between horizontal and vertical text. Supports many categories such as Japanese prefecture names
CSV import — Load any CSV via file picker or drag-and-drop
Sample data — Preloaded datasets including Japan Ministry of Finance interest rates (from 1974), U.S. Treasury bonds, and births by prefecture
PNG export — Download high-resolution images with axis labels
Share — Share the current view (data, color scheme, camera position) via URL. OGP images for social media are generated automatically
Project save/load — Save your work to the cloud and restore it anytime

How to use

Open the page to see Japan Ministry of Finance interest rate data (last 5 years) displayed by default
Switch sample datasets from the dropdown, or load your own CSV
Drag to rotate, scroll to zoom, and right-drag to pan
Adjust the color scheme and camera position to create the best view
Click “Export” to download a PNG image, or “Share” to generate a shareable URL
Shared URLs are viewable by anyone

Data format

Use a pivot table (cross-tabulation) CSV file. Values are placed at the intersection of rows and columns — the same structure as an Excel pivot table.

        col1   col2   col3   ...
row1    5.53   5.47   5.36   ...
row2    5.42   5.38   5.25   ...

In CSV format:

label,col1,col2,col3,...
row1,5.53,5.47,5.36,...
row2,5.42,5.38,5.25,...

First column: Row labels (dates in YYYY-MM-DD format, fiscal years, category names, etc.) — mapped to the depth axis
Remaining columns: Numeric data columns — mapped to the horizontal axis. If column names use duration formats like 1Y or 10M, axis spacing is calculated automatically; otherwise, columns are evenly spaced
Cell values: Numbers — mapped to the height (vertical axis) and color map

Example: Births by prefecture

Year,Hokkaido,Aomori,Iwate,...,Okinawa
2011,39292,9532,9310,...,16918
2012,38686,9168,9277,...,17074

If your data is in long format, convert it to a pivot table using Excel or Python’s pivot() before loading.

References

The idea of using a 3D surface chart for time-series yield curves originated from The New York Times.

A 3-D View of a Chart That Predicts The Economic Future: The Yield Curve - The New York Times https://www.nytimes.com/interactive/2015/03/19/upshot/3d-yield-curve-economic-growth.html

Choosing the Right Data Visualization Tool

Mon, 01 Jan 0001 00:00:00 +0000

Here is a guide to the data visualization tools available, organized by purpose.

Create various charts

dataviz.jp

RAWGraphs2

Create diverse charts with ease

rawgraphs.dataviz.jp

dataviz.jp

Data Illustrator

Create diverse charts with ease

data-illustrator.dataviz.jp

Exploratory data visualization

dataviz.jp

Voyager2

A visualization tool for Exploratory Data Analysis (EDA)

voyager2.dataviz.jp

dataviz.jp

Parallel Coordinates

parallel-coordinates.dataviz.jp

3D visualization

dataviz.jp

3D Surface Chart

Display 3D data (row × column × value) as a colored surface, like a topographic map

3d-surface-chart.dataviz.jp

3D map visualization

dataviz.jp

kepler.gl

Visualization and exploration tool for large-scale geospatial data

kepler-gl.dataviz.jp

Create data maps by prefecture or municipality

dataviz.jp

Japan Choropleth Map

Easily create choropleth maps of Japan

choropleth-japan.dataviz.jp

dataviz.jp

Japan Cartogram

Easily create cartograms of Japan

cartogram-japan.dataviz.jp

dataviz.jp

Prefecture Choropleth Map

Easily create choropleth maps of prefectures

choropleth-prefectures.dataviz.jp

dataviz.jp

Prefecture Cartogram

Easily create cartograms of prefectures

cartogram-prefectures.dataviz.jp

Create world data maps

Network visualization

dataviz.jp

Sankeymatic

Create Sankey diagrams with ease

sankeymatic.dataviz.jp

dataviz.jp

Cytoscape

Web version of Cytoscape

cytoscape.dataviz.jp

dataviz.jp

Gephi Lite

Create network graphs with ease

gephi-lite.dataviz.jp

Text visualization

dataviz.jp

Word Cloud

Word Cloud specialized for Japanese

word-cloud.dataviz.jp

Code-based quick visualization

dataviz.jp

Vega Editor

Write visualization specs in JSON to render interactive graphs and charts in real time

vega-editor.dataviz.jp

dataviz.jp

QuickChart UI

Generate chart images with just a URL

quickchart.dataviz.jp

dataviz.jp

SVG Gradient Editor

Design gradients for your charts

svg-gradient.dataviz.jp

dataviz.jp

SVG Texture Editor

Design textures for your charts

svg-tectures.dataviz.jp

dataviz.jp

Easing Functions Cheat Sheet

Visualize parameter changes over time

easings.dataviz.jp

Animate aircraft and ship trajectories

dataviz.jp

ADS-B / AIS Visualization

Easily animate aircraft and ship movement data

bbts.dataviz.jp

Choosing the Right Data Wrangling Tool

Mon, 01 Jan 0001 00:00:00 +0000

Here is a guide to the data wrangling tools available, organized by purpose.

Visually cleanse your data

dataviz.jp

OpenRefine

Data cleansing and transformation tool for tabular data

open-refine.dataviz.jp

Easily merge map data with thematic data

dataviz.jp

(Geo) DataMerger

Easily merge geographic data with thematic data

geo-data-merger.dataviz.jp

Quickly understand JSON structure

dataviz.jp

JSON Crack

Visually understand JSON data structures in your browser

jsoncrack.dataviz.jp

Fix character encoding issues

dataviz.jp

Shift JIS ⇄ UTF-8 Converter

Convert character encoding between Shift JIS and UTF-8

change-character-encoding.dataviz.jp

Easily convert addresses to latitude/longitude

dataviz.jp

Address to Lat/Lon Converter

Geocoding tool

address-to-latlon.dataviz.jp

Extract table data from PDFs

dataviz.jp

Tabula PDF

Extract table data from PDFs

tabula-pdf.dataviz.jp

Remove furigana from Aozora Bunko texts

dataviz.jp

Aozora Furigana Remover

Remove furigana and metadata from Aozora Bunko novels

aozora-furigana.dataviz.jp

Use Mapbox Studio base maps in Foursquare Studio or Kepler.gl

dataviz.jp

Mapbox Classic Styles

Mapbox map tiles for use with Kepler.gl and Foursquare Studio

classic-mapbox-styles.dataviz.jp

Reduce map data file size

dataviz.jp

Mapshaper

Process and convert map data

mapshaper.dataviz.jp

Quickly create buffer zones around POIs

dataviz.jp

Turf Buffer

Easily create radius buffers in your browser

turf-buffer.dataviz.jp

Create custom map data

dataviz.jp

GeoJSON.io

Trace map tiles to create GeoJSON

geojson.dataviz.jp

Format and convert map data

dataviz.jp

Lat/Lon Formatter

Easily convert latitude/longitude decimal places

latlon-formatter.dataviz.jp

dataviz.jp

Transform Coordinates

Convert coordinates of geographic feature files

transform-coordinates.dataviz.jp

Convert bus route data to network data

dataviz.jp

GTFS to Network

Convert GTFS transit data to network data

gtfs-to-network.dataviz.jp

Convert SVG for use in graphic tools

dataviz.jp

SVG ⇄ GeoJSON Converter

Convert between GeoJSON and SVG formats

geojson-and-svg.dataviz.jp

Easily identify map tile locations

dataviz.jp

Map Tile Browser

Browse multiple open map tile types and check XYZ tile coordinates

what-the-tile.dataviz.jp

Draw-to-Answer Line Chart

Mon, 01 Jan 0001 00:00:00 +0000

dataviz.jp

Draw-to-Answer Line Chart

drawing-line-chart.dataviz.jp

What is this tool?

“Draw-to-Answer Line Chart” is an interactive quiz builder based on time-series data. Quiz creators upload their data, and respondents predict upcoming trends by drawing directly on the chart. After submitting, the prediction is compared against the actual data and a score is displayed.

Features

CSV upload: Create quizzes from your own time-series data
Sample data: Try it instantly with built-in datasets — U.S. unemployment rate, Japan’s population, inbound tourists to Japan, and USD/JPY exchange rate
Date range selection: Select a portion of the data to define the quiz scope
Period annotations: Overlay contextual labels on the chart, such as political transitions or economic events
Hand-drawn style: Choose between a standard style and a hand-drawn sketch style
Publish & share: Share your quiz via URL or on social media
Project save & load: Save work-in-progress quizzes and resume editing later

How to use

Upload data — Drag & drop a CSV file or select a sample dataset
Set the date range — Specify the start and end of the data range
Configure the quiz — Enter a title (question), the prediction start point, units, and style
Add annotations (optional) — Set period labels to display as background context
Preview — Check the chart in real time on the right panel
Publish — Generate a URL and share it with respondents

Data format

CSV files with a header row are supported.

Column	Content	Example
X-axis (time series)	Year or year-month	`2000`, `2020/04`
Y-axis (numeric)	Any numeric value	`4.9`, `12615`, `105.21`

date,value
2000,4.0
2001,4.7
2002,5.8

X-axis supports YYYY (year) or YYYY/MM (year-month) formats
For multi-column CSVs, you can select the X-axis and Y-axis columns after uploading
JSON format is also supported ([{“x”: 2000, “y”: 4.0}, …])

GeoJSON.io

Mon, 01 Jan 0001 00:00:00 +0000

dataviz.jp

GeoJSON.io

地図タイルをトレースしてGeoJSON作成

geojson.dataviz.jp

What is this tool?

A simple browser-based tool for creating, viewing, and sharing spatial data (such as GeoJSON). You can draw and edit geographic data on a map, and the corresponding GeoJSON is generated instantly, making it ideal for prototyping and verifying spatial data.

Features

Draw and edit data on a map…Draw markers (points), polylines (lines), and polygons (areas) on the map and freely edit them.
Real-time code editing and preview…Drawn shapes are instantly updated and displayed as GeoJSON code, and attribute editing is also supported.
Multi-format import…Import and edit spatial data including GeoJSON, TopoJSON, CSV, KML, and more (historically supported by the tool).
Simple attribute editing…Edit and delete field values in table view to adjust Feature properties.

How to use

Load data or create new drawings…Upload existing GeoJSON, or draw points, lines, and polygons on the map.
Edit attributes and code…Interactively edit drawings and attribute information.
Save and share…Download the completed GeoJSON as a file or share via URL parameters.

Data formats

Input formats
- GeoJSON: A JSON format centered on geographic Features (points, lines, areas).
- TopoJSON / CSV / KML / GPX, etc.: Multiple geographic data formats can be loaded and converted to GeoJSON for editing.
Output formats
- GeoJSON, TopoJSON, CSV, KML, WKT, Shapefile

GTFSネットワークデータ変換

Mon, 01 Jan 0001 00:00:00 +0000

dataviz.jp

GTFSネットワークデータ変換

交通データGTFSをネットワーク・データに変換します

gtfs-to-network.dataviz.jp

What is this tool?

Converts GTFS data, a common format for transit information, into network data.

Features

Uses stop information (stops.txt) and stop time information (stop_times.txt) to generate network data in CSV format.

1. stops.txt (used as node information)

Variable	Description	Required	Usage
`stop_id`	Stop ID	Yes	Used as node ID (source/target).
`stop_name`	Stop name	Yes	Node name attribute. Also assigned as origin/destination names for links.
`stop_lat`	Latitude	Yes	Node coordinates.
`stop_lon`	Longitude	Yes	Node coordinates.

2. stop_times.txt (used for link aggregation)

Variable	Description	Required	Usage
`trip_id`	Trip ID	Yes	Used for grouping to identify movements (A to B) within the same trip.
`stop_id`	Stop ID	Yes	Identifies the source and target of each link.
`stop_sequence`	Stop sequence	Yes	Determines travel order within a trip (used for sorting).
`arrival_time`	Arrival time	Yes	Calculates link travel time (next stop arrival - current stop departure).
`departure_time`	Departure time	Yes	Calculates link travel time.

Output data attributes (aggregated/calculated values)

CSV Header	Description	Calculation Method
`frequency`	Number of trips	Count of `trip_id`s traversing the same segment (source to target).
`avg_duration_sec`	Average travel time (seconds)	Average travel time for the same segment.

How to use

1. Upload GTFS files…Load the target files via drag-and-drop or file selection.
1. Specify the current format…Select whether it is 1 file or 2 files.
1. Press the convert button…
1. After conversion, the file is automatically downloaded.

Data formats

Input formats
- GTFS: Stop information (stops.txt)
- GTFS: Stop time information (stop_times.txt)
Output formats
- CSV (single-file format): Nodes and links combined in a single file
- CSV (two-file format): Nodes and links in separate files

i want hue

Mon, 01 Jan 0001 00:00:00 +0000

What is this tool?

A web tool for generating and adjusting distinguishable color palettes for data visualization. It creates highly distinguishable color sets by taking human color perception (hue, saturation, lightness, etc.) into account.

Features

Color palette generation…Automatically generates easy-to-distinguish color combinations based on the specified number of colors.
Color property adjustments…Design custom palettes by specifying ranges for hue, chroma (saturation), and lightness.
Color vision deficiency support…Capable of generating palettes that accommodate color vision diversity (color vision deficiency).
Diverse output formats…Retrieve generated palettes as JSON, CSS, RGB/HEX lists, JavaScript code, and more.

How to use

1. Set generation parameters…Specify the number of colors, hue range, and saturation/lightness constraints for the palette.
1. Generate the palette…Colors are listed based on your settings.
1. Customize and adjust…Fine-tune individual colors or overall distribution to optimize visibility and color balance.
1. Export and use…Export in JSON, CSS, JavaScript, and other formats for use in data visualizations.

Japanese-Western Calendar Converter

Mon, 01 Jan 0001 00:00:00 +0000

dataviz.jp

Japanese-Western Calendar Converter

Convert between Japanese era dates and Western dates

calendar-converter.dataviz.jp

What is this tool?

A browser-based tool for converting between Japanese era dates (Showa, Heisei, Reiwa) and Western calendar dates. You can type a date and see the conversion in real time, or drop a CSV file to auto-detect date columns and batch-convert them for download. All processing runs entirely in your browser — no data is ever sent to a server.

Features

Real-time conversion — Type in either the Japanese era or Western date field, and the other field updates instantly
CSV batch conversion — Drag & drop a CSV file to auto-detect date columns and batch-convert them. Preview the results before downloading
Auto character encoding detection — Automatically detects UTF-8 and Shift_JIS, so CSV files created in Excel can be loaded as-is
Multiple date formats supported — Accepts commonly used formats such as R6.3.22, 令和6年3月22日, 2024/03/22, 2024-03-22, and more
Output format options — When converting to Japanese era dates, choose between alphabetic notation (R6.3.22) or kanji notation (令和6年3月22日)
Bilingual UI — The interface displays in Japanese or English based on your browser’s language setting

How to use

Manual conversion

Enter a date in either the “Japanese era” or “Western” input field at the top of the page
The converted result appears automatically in the other field

Batch file conversion

Drag & drop a CSV file onto the drop area (or click to select a file)
Date columns are auto-detected and a before/after preview is displayed
Select the conversion direction (Japanese era → Western / Western → Japanese era) and format as needed
Click “Convert and Download” to download the converted CSV

Data formats

Supported input formats

Type	Example formats
Japanese era (alphabetic)	`S49.9.24`, `H1-1-8`, `R6/3/22`
Japanese era (kanji)	`昭和49年9月24日`, `令和元年5月1日`
Western	`2024/03/22`, `2024-03-22`, `2024.3.22`

Supported eras

Era	Abbreviation	Period
Showa (昭和)	S	1926/12/25 – 1989/01/07
Heisei (平成)	H	1989/01/08 – 2019/04/30
Reiwa (令和)	R	2019/05/01 –

Batch file conversion

Supported file formats: CSV, TSV, TXT
Delimiters (comma, tab) are auto-detected
Character encoding (UTF-8, Shift_JIS) is auto-detected
Output is UTF-8 (with BOM) CSV, which opens directly in Excel

JSON Crack

Mon, 01 Jan 0001 00:00:00 +0000

dataviz.jp

JSON Crack

ブラウザ上で JSON データ構造を視覚的に理解する

jsoncrack.dataviz.jp

What is this tool?

JSON Crack is a web-based data visualization tool. It is designed to help you visually understand JSON data structures in your browser.

Features

Visualizes JSON and structured data as node-and-edge graphs or trees, with expand and collapse capabilities.

How to use

1. Input data…Paste JSON or upload from a file.
1. An interactive node diagram or tree is rendered based on the input content.
1. Expand/collapse, search, zoom, and other operations as needed.

Data formats

JSON

kepler.gl

Mon, 01 Jan 0001 00:00:00 +0000

dataviz.jp

大規模地理空間データの可視化・探索ツール

kepler-gl.dataviz.jp

What is this tool?

A browser-based tool for visualizing and exploring large-scale geospatial data. It leverages WebGL to produce high-performance map visualizations that enable intuitive analysis of location data. Originally developed by Uber as an open-source GIS tool, it allows data exploration without any programming.

Features

Diverse layer types: Supports multiple layers including points, lines, polygons, heatmaps, hexbin aggregation, arcs, and more.
Interactive operations: Explore data through filtering, zooming, panning, and time-axis animations.
High-performance rendering: Uses WebGL to smoothly render millions of data points at high speed.
Style settings and customization: Adjust color coding, scale settings, 3D representation (height/extrude), and many other display options.
Export: Save and share completed maps as PNG images or interactive HTML, as well as CSV file output.
Save and load created projects

How to use

1. Add data: Drag and drop CSV or GeoJSON files to load them.
1. Configure layers: Select a type (point/polygon, etc.) from the layer panel and assign columns such as latitude and longitude.
1. Customize: Adjust colors, sizes, filters, and scales to optimize the visualization.
1. Save and share: Save settings and maps (locally/export) for reuse.

Data formats

CSV
Json
GeoJSON
Arrow
Parquet

Leonardo

Mon, 01 Jan 0001 00:00:00 +0000

dataviz.jp

Leonardo

Adobe がオープンソースとして提供しているツール

leonardo.dataviz.jp

What is this tool?

Leonardo is a web-based color tool that generates and designs colors based on target contrast ratios. It functions as a support tool for building accessible (visibility- and color-vision-friendly) color schemes for design systems and data visualization, and for managing overall color systems for themes. It is fundamentally built on a color module that Adobe provides as open source.

Features

Contrast ratio-based color generation…Automatically generates colors that match a specified target contrast ratio, producing palettes that meet accessibility standards (WCAG) requirements.
Color theme design and management…Create and adjust color scales and overall theme structures to build accessible themes for design systems.
Visual evaluation and export…Visually evaluate contrast between colors, color differences, and positions in color space, with export options as SVG or code (CSS custom properties, design tokens) as needed.
Adaptive (dark/light) theme support…Generate color schemes that adapt to light mode and dark mode by adjusting brightness, saturation, and contrast.

How to use

1. Set base colors…Specify the base color, background color, and target contrast ratio.
1. Generate and adjust palettes…Review the automatically generated color swatches, and adjust the color space and ratios as needed.
1. Export results…Export in your preferred format such as SVG, color code lists, CSS/JS/design tokens, and use them in your project.

Mapbox Classic スタイル生成

Mon, 01 Jan 0001 00:00:00 +0000

dataviz.jp

Mapbox Classic スタイル生成

Kepler.gl や Foursquare Studio で利用可能な Mapbox 地図タイル

classic-mapbox-styles.dataviz.jp

What is this tool?

A web tool for generating and managing style definitions (JSON) for legacy Mapbox Classic styles. Mapbox Classic was a set of classic map style templates provided by Mapbox, used to generate and serve map styles compatible with map tools such as Kepler.gl and Foursquare Studio.

Features

Mapbox Classic style generation…Generate and reference Classic style JSON files (e.g., Streets, Light, Dark, etc.).
Compatible with Kepler.gl and similar tools…Use the generated styles as base maps in map visualization tools like Kepler.gl.
Template management…Organizes Mapbox Classic standard templates for easy access, with features to retrieve and edit JSON as needed.

How to use

Obtain a Mapbox token
Enter your Mapbox token
Select a style template…Choose a Classic style (e.g., Light / Dark / Streets, etc.).
Generate JSON…Generate the Mapbox Classic style JSON based on your selection and edits.
Import…Import the generated style JSON into Mapbox Studio.
Base maps created in Mapbox Studio can be used in Kepler.gl and Foursquare Studio.

Data formats

Mapbox token

Mapshaper

Mon, 01 Jan 0001 00:00:00 +0000

dataviz.jp

Mapshaper

mapshaper.dataviz.jp

What is this tool?

A web-based tool for editing, converting, and simplifying geospatial vector data (GIS). It loads map data and lets you intuitively perform operations such as shape simplification, attribute editing, and format conversion. Its key advantage is the ability to process data in the browser without relying on desktop GIS software.

Features

Load and display geographic data: Import and display vector data such as Shapefile, GeoJSON, and TopoJSON.
Shape simplification: Reduce polygon/line vertices to shrink file size while preserving topology.
Attribute data editing: Modify and join attribute table contents, or delete unnecessary fields.
Conversion and export: Convert and export to multiple formats (Shapefile, GeoJSON, TopoJSON, CSV, TSV, SVG, etc.).
Clipping and dissolving: GIS processing such as clipping, merging, splitting, and dropping data.

How to use

1. Load and display data…Imported geographic data is displayed in map view, where you can review attributes and shapes.
1. Edit and process
- Simplification: Run tools for vertex reduction and topology preservation.
- Attribute editing: Add, delete, or join fields.
- Merge and clip: Merge multiple datasets or clip to a specified area.
1. Export…Save and download in the desired format from the Export menu.

Data formats

Mapshaper handles the following major GIS vector data formats for input and output:
Shapefile (ESRI’s standard GIS format; a set of .shp/.dbf/.shx files, etc.)
GeoJSON (JSON-based geographic information format)
TopoJSON (topology-compressed format based on GeoJSON)
CSV / TSV (as tabular data containing coordinates and attributes)
SVG (as vector image output for geographic shapes)

OpenRefine

Mon, 01 Jan 0001 00:00:00 +0000

dataviz.jp

OpenRefine

表データのクレンジング・ツール

open-refine.dataviz.jp

What is this tool?

OpenRefine is a tool for cleaning (deduplication, inconsistency correction, formatting) and transforming tabular data in the browser. It can process large volumes of data in batch, significantly reducing the need for manual corrections.

It can save the state of your cleansing work on the server side, and also record cleansing procedures for reapplication to similar files.

Features

Filtering and faceting for narrowing down and reviewing values
Column splitting/merging, value replacement, whitespace and symbol normalization
Duplicate detection and clustering for inconsistency correction
Batch transformation using expressions (GREL)
Reconciliation with external data sources

How to use

1. Load data in CSV / TSV / Excel / JSON or other formats
1. Use Facets and filters to identify problematic values
1. Clean up data using transformations, replacements, and clustering
1. Export in the desired format

Data formats

Input: CSV, TSV, Excel (xls/xlsx), Google Sheets, JSON, XML, OpenDocument, etc.
Output: CSV, TSV, Excel, JSON, etc.

Official documentation site

dataviz.jp

OpenRefineの公式解説サイト

OpenRefine解説

open-refine-doc.dataviz.jp

RAWGraphs2

Mon, 01 Jan 0001 00:00:00 +0000

dataviz.jp

RAWGraphs2

rawgraphs.dataviz.jp

What is this tool?

A tool that lets you create a wide variety of charts with an intuitive interface. While it is not designed for fine-tuning charts on its own, it excels as a drafting tool for exporting in SVG format and refining in graphic tools (such as Figma or Adobe Illustrator) or PowerPoint.

A missing link tool that bridges the gap between Excel and graphic applications like Adobe Illustrator.

Features

32 diverse chart templates across 8 categories
Export as PNG, JPEG, or SVG images
Style adjustments
No interactive content creation capabilities
Save and load created projects

How to use

1. Load your data
1. Choose a chart
1. Map the data
1. Customize

Data formats

Tabular data (CSV, TSV, DSV)
JSON

Note

Drag operations may not work properly when using Microsoft Edge. In that case, please use another browser such as Chrome.

Sankeymatic

Mon, 01 Jan 0001 00:00:00 +0000

dataviz.jp

Sankeymatic

sankeymatic.dataviz.jp

What is this tool?

A tool specialized for creating Sankey diagrams. Because the data format is simple, anyone can easily create Sankey diagrams using data prepared in spreadsheet tools.

Features

Create beautiful Sankey diagrams
Export as PNG or SVG images

How to use

Load data from the “Input” section
Adjust styles
Export the result

Data formats

Proprietary notation for this tool
source [value] target

Shift JIS ⇄ UTF-8 文字コード変換ツール

Mon, 01 Jan 0001 00:00:00 +0000

dataviz.jp

Shift JIS ⇄ UTF-8 文字コード変換ツール

文字コードを、Shift JIS ⇄ UTF-8 間で相互に変換

change-character-encoding.dataviz.jp

What is this tool?

A tool that converts text file character encodings between Shift JIS and UTF-8 in both directions.

Files intended for use with Excel are often distributed in Shift JIS encoding.
Most modern tools assume UTF-8 encoding.

This is a simple utility to bridge that gap.

Features

Shift JIS to UTF-8 conversion: Converts text in the Shift JIS character encoding, commonly used by legacy systems and Excel, to UTF-8.
UTF-8 to Shift JIS conversion: Converts text in UTF-8 format to Shift JIS, making it usable with legacy software and older systems.

How to use

1. Enter or upload the text you want to convert.
1. Copy or download the converted text.

The tool automatically detects whether the file is Shift JIS or UTF-8.

Data formats

Tabular data (CSV, TSV, DSV)
JSON

SVG ⇄ GeoJSON 変換ツール

Mon, 01 Jan 0001 00:00:00 +0000

dataviz.jp

SVG ⇄ GeoJSON 変換ツール

GeoJSON と SVG の相互変換を支援

geojson-and-svg.dataviz.jp

What is this tool?

A web-based tool that assists with converting and visualizing between geospatial data (GeoJSON) and SVG (vector image format).

It is designed to convert geographic information such as map data and polygons into the SVG format, which is convenient for web display and print use, or to help work with SVG as GeoJSON format.

GeoJSON is a standard JSON-based format for location data, widely used for web mapping and GIS integration.

Features

Bi-directional conversion between geospatial data (GeoJSON) and SVG (vector image format)

How to use

1. Load a file
1. Download

No special operations are required.

Data formats

SVG
GeoJSON

Tabula PDF

Mon, 01 Jan 0001 00:00:00 +0000

dataviz.jp

Tabula PDF

PDFから表データを取り出す

tabula-pdf.dataviz.jp

What is this tool?

Tabula PDF is a tool for extracting tables from PDFs and converting them into reusable formats. It is useful when you want to use tables from PDFs published as government documents, survey reports, handouts, and similar materials as data.

You can specify the area of the table to extract on the page, and export it as CSV / JSON / Excel format. It helps you create a starting point for data processing in situations where “you have the PDF but not the original data.”

Features

Table extraction from PDF (page-by-page and multi-page support)
Manual selection of table regions (drag) with extraction preview
Switching extraction modes (rule-based / whitespace-based)
Batch output of multiple tables
Download in CSV / JSON / Excel formats

How to use

1. Upload a PDF file
1. Open the target page and select the table area to extract
1. Choose the extraction mode and review the preview
1. If everything looks correct, export as CSV / JSON / Excel

Data formats

Input: PDF
Output: CSV, JSON, Excel

Notes

This tool is intended for use with PDFs that contain text data.
For PDFs consisting primarily of scanned images, running OCR beforehand will improve extraction accuracy.

Text Entity Extraction Tool

Mon, 01 Jan 0001 00:00:00 +0000

dataviz.jp

Text Entity Extraction Tool

text-entity.dataviz.jp

What is this tool?

A browser-based tool that uses regular expressions to batch-extract hashtags, mentions, URLs, email addresses, and phone numbers from text in CSV/TSV tabular data. All data is processed in your browser and never sent to a server.

Features

5 entity types: Hashtags (#), mentions (@), URLs, email addresses, phone numbers
CSV/TSV support: Load data via file upload or paste into the text area
Column selection: Choose the target column with sample values displayed
Preview: Review loaded data before extraction
CSV export: Download results as CSV with extracted columns appended to the original data (UTF-8 with BOM)
Japanese/English support: Auto-switches based on browser language; manual switching also available

How to use

Input data — Drag & drop a CSV file, or paste CSV/TSV data into the text area
Preview — Check the number of columns and rows (first 100 rows displayed)
Configure & extract — Select the target column and entity type (hashtag / mention / URL / email / phone number), then click “Extract”
Review & download — Check the extraction count and click “Download CSV” to save the results

Data format

Input: CSV (comma-separated), TSV (tab-separated), TXT
Header: Option to treat the first row as column names (if no header, columns are auto-named “Column 1, Column 2, …”)
Output: CSV (UTF-8 with BOM) containing all original columns plus an appended extraction result column. Multiple entities in a single cell are joined with commas

イージング関数チートシート

Mon, 01 Jan 0001 00:00:00 +0000

dataviz.jp

イージング関数チートシート

時間の経過に伴うパラメーターの変化を可視化

easings.dataviz.jp

What is this tool?

A reference site that catalogs “easing functions” – which describe how values change over time in animations and transitions. You can visually compare and select various easing behaviors (acceleration, deceleration, bounce, etc.). Easing functions define the rate of change that gives animations a natural feel.

Features

Easing function catalog…Browse a wide range of easing functions (e.g., easeInSine, easeOutBounce) in a list view.
Visual comparison with graphs…See how each function changes over time (t) displayed as a graph.
CSS and code examples…Includes information showing how to use each function as CSS Transition / Animation or in code.
Real-time preview…A UI that lets you visually confirm the motion of your selected function.

How to use

1. Select a function…Click or select the desired easing function from the list.
1. Review the behavior…Compare how values change using the graph and preview of the selected function.
1. Apply to your project…Copy the function name or code and paste it into your animation library or CSS Timing Function.

バッファ生成ツール

Mon, 01 Jan 0001 00:00:00 +0000

dataviz.jp

バッファ生成ツール

turf-buffer.dataviz.jp

What is this tool?

A web-based spatial analysis tool that generates “buffers (buffer zones)” at a specified distance around geospatial data (points, lines, polygons).

A buffer is a polygon area that expands a specified distance around a given feature, and is a technique commonly used in GIS spatial analysis.

When creating data maps with buffers such as “within a 10-minute walk from a certain point,” using the desktop application QGIS requires the following steps:

1. Convert the data file from a geographic coordinate system to a projected coordinate system that varies by region
1. Perform the buffering operation
1. Convert back to the geographic coordinate system for output

This tool eliminates this complex workflow, enabling completion in just a few clicks within the browser.

Features

Buffer generation Creates a buffer zone at a specified distance (radius) around the input points, lines, or polygons.
Map preview View the loaded data and generated buffer areas on a web map.
Output format Download buffer results as GeoJSON or SVG.

How to use

1. Upload CSV data…Select a CSV file containing latitude and longitude columns.
1. Specify buffer parameters…Enter the buffer radius (in meters).
1. Generate and review the buffer…Press the create button, and the buffer areas are drawn on the map.
1. Download…Download the results in GeoJSON or SVG format.

Data formats

Input formats
- CSV (tabular data containing latitude and longitude) is loaded for processing.
Output formats
- GeoJSON: Retrieve the generated buffer areas in GeoJSON format.
- SVG: Download as an SVG vector image.

住所 → 緯度経度変換ツール

Mon, 01 Jan 0001 00:00:00 +0000

dataviz.jp

住所 → 緯度経度変換ツール

address-to-latlon.dataviz.jp

What is this tool?

A web-based tool that converts Japanese address data into latitude and longitude (coordinates) through geocoding. It can batch-convert multiple addresses into GPS coordinates for use in map creation and location analysis.

Features

Batch conversion (CSV support)…Upload a CSV file containing multiple addresses, and retrieve latitude and longitude for each address.
High-accuracy geocoding…Uses Geolonia’s community geocoder (based on the Ministry of Land, Infrastructure, Transport and Tourism’s Address Reference Information), achieving conversion accuracy specialized for Japanese addresses.
Character encoding support…You can specify the character encoding of the input file (UTF-8 / Shift_JIS).
Browser-only processing…Data is processed entirely within the browser and is never sent to a server (privacy protection).

How to use

1. Upload a CSV file…Load address data by clicking or drag-and-dropping a CSV file.
1. Specify the character encoding…Select the appropriate encoding from UTF-8 / Shift_JIS.
1. Run the conversion…A CSV file with automatically added latitude and longitude columns is generated.
1. Download / Use…Download the output CSV and import it into map rendering or analysis tools.

Data formats

Tabular data (CSV)

地図タイル・ブラウザー

Mon, 01 Jan 0001 00:00:00 +0000

dataviz.jp

地図タイル・ブラウザー

what-the-tile.dataviz.jp

座標系変換ツール

Mon, 01 Jan 0001 00:00:00 +0000

dataviz.jp

座標系変換ツール

地物ファイルの座標を変換

transform-coordinates.dataviz.jp

日本地図カルトグラム

Mon, 01 Jan 0001 00:00:00 +0000

dataviz.jp

日本地図カルトグラム

日本地図カルトグラムを手軽に作成できるツール

cartogram-japan.dataviz.jp

What is this tool?

A web-based tool that lets you easily create cartograms reflecting statistical data for each prefecture of Japan. A cartogram is a type of thematic map that distorts the area and shape of regions on a map according to statistical values (such as population, votes, or other indicators). It visually highlights regional differences and disparities that are hard to see on a standard map.

Features

Japan map cartogram generation: Displays regions such as prefectures with their areas distorted according to statistical values.
Data value reflection: Map shapes change based on the data you input.
Ranking mode: Automatically generates ranking data sorted by value in descending order. Ranking data can be used for color coding.
Interactive display: Browse and interact with the map on the web.
Export as PNG or SVG images

How to use

1. Specify your data…Upload or enter numerical data by region in CSV format (e.g., population, GDP, vote counts).
1. Generate the cartogram…Based on the specified statistical values, a distorted cartogram of the Japan map is generated and displayed on screen.

Adjust and review…Adjust parameters (color, degree of distortion, region label display, etc.) as needed and review the results.

Data formats

Tabular data (CSV)

日本地図コロプレス

Mon, 01 Jan 0001 00:00:00 +0000

dataviz.jp

日本地図コロプレス

日本地図コロプレスを手軽に作成できるツール

choropleth-japan.dataviz.jp

What is this tool?

Features

How to use

Data formats

緯度経度フォーマッター

Mon, 01 Jan 0001 00:00:00 +0000

dataviz.jp

緯度経度フォーマッター

緯度経度データの桁数を簡単に変換

latlon-formatter.dataviz.jp

What is this tool?

A web tool for easily converting the format of latitude and longitude data within CSV files. It is useful when you need to organize and standardize coordinate notation formats when working with geographic data.

Features

Format conversion
Bi-directional conversion between single-column format (latitude and longitude in one cell, e.g., “35.6762,139.6503”) and two-column format (separate latitude and longitude columns).
Auto-detection Automatically detects latitude and longitude columns in the input CSV.
Data preview View the CSV before and after conversion on the spot.
Decimal precision adjustment Adjust the number of decimal places for latitude and longitude values.
Download Download the converted CSV as a file.
Browser-only processing All processing is completed within the browser with no server communication required.

How to use

1. Upload a CSV…Load the target CSV via drag-and-drop or file selection.
1. Specify the current format…Select whether latitude and longitude are in single-column or two-column format.
1. Choose the output format…Select the desired single-column or two-column format.
1. Adjust precision (optional)…Set the number of decimal places for latitude and longitude.
1. Convert and download…After running the conversion, review the preview and download the CSV.

Data formats

Input formats
- CSV: Tabular data with latitude and longitude in either single-column or two-column notation.
Output formats
- CSV (single-column format): Latitude and longitude combined in a single field as “latitude,longitude”.
- CSV (two-column format): Standard format with separate latitude and longitude columns.

都道府県地図カルトグラム

Mon, 01 Jan 0001 00:00:00 +0000

dataviz.jp

都道府県地図カルトグラム

都道府県地図カルトグラムを手軽に作成できるツール

cartogram-prefectures.dataviz.jp

What is this tool?

A web-based tool that lets you easily create cartograms reflecting statistical data for each municipality within a selected prefecture. A cartogram is a type of thematic map that distorts the area and shape of regions on a map according to statistical values (such as population, votes, or other indicators). It visually highlights regional differences and disparities that are hard to see on a standard map.

Features

Prefecture map cartogram generation: Displays regions such as municipalities with their areas distorted according to statistical values.
Data value reflection: Map shapes change based on the data you input.
Ranking mode: Automatically generates ranking data sorted by value in descending order. Ranking data can be used for color coding.
Interactive display: Browse and interact with the map on the web.
Export as PNG or SVG images

How to use

1. Specify your data…Upload or enter numerical data by region in CSV format (e.g., population, GDP, vote counts).
1. Generate the cartogram…Based on the specified statistical values, a distorted cartogram of the prefecture map is generated and displayed on screen.

Adjust and review…Adjust parameters (color, degree of distortion, region label display, etc.) as needed and review the results.

Data formats

Tabular data (CSV)

都道府県地図コロプレス

Mon, 01 Jan 0001 00:00:00 +0000

dataviz.jp

都道府県地図コロプレス

都道府県地図コロプレスを手軽に作成できるツール

choropleth-prefectures.dataviz.jp

What is this tool?

Features

How to use

Data formats

青空文庫ルビ削除ツール

Mon, 01 Jan 0001 00:00:00 +0000

dataviz.jp

青空文庫ルビ削除ツール

青空文庫の小説からルビとメタデータを削除

aozora-furigana.dataviz.jp

Color Brewer

Mon, 01 Jan 0001 00:00:00 +0000

dataviz.jp

Color Brewer

カラースキーム選びを地図上でシミュレーション

colorbrewer.dataviz.jp

What is this tool?

ColorBrewer is an online tool for selecting optimal color palettes for data visualization and maps. Its purpose is to suggest color schemes suited to color visibility and the nature of categorical or numerical data.

Features

Color scheme selection assistance…Presents color schemes for sequential data, diverging data, qualitative data, and more based on data characteristics.
Usage considerations…Filter options for colorblind safety, print friendliness, and photocopy safety.
Number of classes…Adjust the number of colors (e.g., 3 to 12) to select the optimal palette.
Color output formats…Export selected palettes in HEX/RGB/CMYK formats, CSS, JavaScript arrays, and more.
Save and load created projects.

How to use

1. Select data nature…Choose from sequential (ordered), diverging (bipolar around a center value), or categorical (unordered).
1. Specify number of colors (classes)…Select the desired number of data classes (e.g., 3, 4, …).
1. Review and adjust the palette…Check how the selected palette looks on maps or charts.
1. Export…Export as CSS, JavaScript, Adobe Swatch, etc. as needed.

Cytoscape

Mon, 01 Jan 0001 00:00:00 +0000

dataviz.jp

Cytoscape

cytoscape.dataviz.jp

What is this tool?

A browser-based implementation of Cytoscape, which is popular as a desktop application.

It is a tool for interactively visualizing network (graph) data in your browser. You can load relationship data composed of nodes (points) and edges (lines), and intuitively change layouts, apply styling based on attributes, and more.

Cytoscape is an open-source platform for visualizing and analyzing network (graph) data. Originally developed for visualizing and analyzing biological networks (molecular interaction networks), it is also widely used for social network analysis and general complex network visualization.

Features

Data Import — Upload and visualize files in GEXF, GraphML, and CSV formats
Sample Datasets — Load one of 9 sample datasets with a single click, including Les Misérables, Game of Thrones, and Marvel Universe
Layout Switching — 6 layout types: Grid, Circle, Concentric, Breadthfirst, Cose (physics simulation), and Random
Node Styling — Dynamically change colors (qualitative color scheme), sizes, and labels based on attributes
Edge Styling — Dynamically change colors (quantitative color scheme), thickness, and labels based on attributes
SVG Export — Download the current graph in SVG format
Project Save/Load — Save projects to the server and restore them later

How to use

Select a file from the “Load Data File” button, or choose from “Load Sample Data”
Adjust the graph arrangement by changing the layout and easing in the control panel
Select the attribute to use for node color, size, and label from the dropdowns in the “Node” row
Select the attribute to use for edge color, thickness, and label from the dropdowns in the “Edge” row
If needed, save as an SVG image using “Export”

Data formats

GEXF / GraphML

XML formats designed for graphs. They can richly describe node and edge attributes (categories, weights, coordinates, etc.). They can be exported from many tools such as Gephi and NetworkX.

CSV (Edge List Format)

A format that can be easily created from spreadsheets or Excel.

A header row is required
Specify the endpoints of edges using source and target columns (or from and to) — case-insensitive
All other columns are imported as edge attributes
Nodes are automatically generated from the edge information

source,target,weight,type
Alice,Bob,1.0,friends
Bob,Carol,2.5,colleagues
Alice,Dave,0.8,family

Tilegrams

Mon, 01 Jan 0001 00:00:00 +0000

What is this tool?

A web-based map creation tool that generates “tilegrams (tiled cartograms)” – representations of geographic regions using hexagonal tiles, with region sizes visually adjusted according to data values. Region areas are expressed proportionally to population or other indicators through the number of tiles, while maintaining an approximate resemblance to the original geographic shape.

Features

Hexagonal tile cartogram generation…Represents geographic areas as uniform hexagonal tiles, varying the number of tiles per region according to data values.
Built-in maps and custom data support…In addition to standard map templates for the United States, Europe, and other regions, you can load custom data to generate tilegrams.
Interactive adjustment…Drag tiles to adjust placement, or change the resolution (the value each tile represents) to optimize the appearance.
Export…Export the created tilegram in SVG or TopoJSON format for use and further editing in other tools.

How to use

1. Select a base map…Start from a prepared geographic region (e.g., US states, French regions, etc.).
1. Specify and load data…Upload regional values (such as population or vote counts) in CSV format.
1. Set resolution and adjust…Set the value each tile represents (e.g., 1 tile = 1 million people), and optionally drag tiles for fine-tuning.
1. Generate and export…Download the completed tilegram as PNG / SVG / TopoJSON for analysis and sharing.

Data formats

CSV (comma-separated) format containing geographic identifiers (Geo ID, etc.) and values (e.g., population, vote counts).

SVGグラデーションエディタ

Mon, 01 Jan 0001 00:00:00 +0000

dataviz.jp

SVGグラデーションエディタ

チャートのグラデーションをデザイン

svg-gradient.dataviz.jp

What is this tool?

A web-based tool for visually creating and adjusting gradients (smooth color transitions) in SVG (Scalable Vector Graphics). It can be used to design color gradients for chart and shape backgrounds and fills.

Features

Gradient design…Visually edit linear and radial gradients for use in SVG.
Color stop settings…Add and adjust colors (stops) and positions along the gradient to create custom color schemes.
Real-time preview…Instantly review editing results and make adjustments while seeing the final appearance.
SVG generation…Output the completed gradient definition directly as SVG code.

How to use

1. Create a gradient…Design the gradient by manipulating color stops, angles, and positions.
1. Preview…Check how the configured gradient renders in real time.
1. Retrieve the generated SVG…Copy or save the final gradient definition as SVG code and incorporate it into your designs or visualizations.

SVGテクスチャエディタ

Mon, 01 Jan 0001 00:00:00 +0000

dataviz.jp

SVGテクスチャエディタ

チャートのテクスチャをデザイン

svg-tectures.dataviz.jp

What is this tool?

A web-based editor for designing texture patterns and surface effects used in SVG (Scalable Vector Graphics). You can visually edit and create repeating patterns (textures) for chart and shape backgrounds and fills, and use them as SVG. This tool is primarily intended to support the design of texture expressions in data visualization and graphic design.

Features

Texture pattern generation and editing…Visually create and adjust repeating patterns (stripes, dots, etc.) and texture patterns for embedding in SVG.
Preview display…Evaluate the appearance of patterns in real time as you edit.
SVG output…Retrieve the designed textures as SVG code or pattern definitions.

How to use

1. Design a texture…Create a texture by configuring pattern type, spacing, direction, color, and other settings (via GUI).
1. Real-time preview…Review the appearance of the edited texture on the spot.
1. Retrieve as SVG…Copy or save the finished pattern as SVG XML (such as <pattern>) and apply it to other SVG shapes or charts.

ADS-B / AIS Visualization

Mon, 01 Jan 0001 00:00:00 +0000

dataviz.jp

ADS-B / AIS Visualization

Easily create videos from aircraft and ship movement data

bbts.dataviz.jp

What is this tool?

A web tool that visualizes tracks on a map with animation simply by uploading a CSV file containing latitude and longitude data. It supports visualization of broadcast-type positioning data such as ADS-B (aircraft tracking) and AIS (ship tracking).

Features

CSV Upload: Load CSV files via drag & drop or file selection
Track Visualization: Animate movement paths on a map based on time-series data
Multiple Track Support: Automatically groups and displays multiple aircraft or vessels from a single CSV
Auto Column Detection: Automatically recognizes column names like lat/lon, latitude/longitude regardless of case
Sample Data: Ready-to-use sample data available for quick testing

How to use

Prepare a CSV file (containing latitude, longitude, and timestamp)
Drag & drop or click to select a file from the sidebar on the left
Sample data is also available
Tracks are automatically drawn on the map
Export as GIF animation, sequential still images, or video files
Customize base map style, date/time display, and other options

Data formats

Include the following variables in your CSV:

Position (required): lat / lon, latitude / longitude, or Position (“lat,lon” combined format)
Time (required): Timestamp (Unix epoch seconds), etc.
Identifier: Callsign (aircraft), MMSI / VesselName (vessel)
Optional: Altitude, Speed, Direction / Course

Supported position data formats

Column names are case-insensitive (e.g., LAT, Lat, lat are all accepted).

Column Name	Description
`lat` / `lon`	Latitude / Longitude (abbreviated)
`latitude` / `longitude`	Latitude / Longitude (full name)
`Position`	Combined lat/lon format (`"35.68,139.76"`)

Supported time data formats

Time data is automatically detected in the following formats. Supported column names include timestamp, time, datetime, date, etc.

Format	Example
ISO 8601	`2023-05-20T10:30:00Z`
Date-time string	`2023-05-20 10:30:00`
Compact format	`20230520_103000`
Unix timestamp (seconds)	`1684567890`
Unix timestamp (milliseconds)	`1684567890123`

When a single CSV contains multiple aircraft or vessels, they are automatically grouped and displayed.

Reference

Data Illustrator

Mon, 01 Jan 0001 00:00:00 +0000

dataviz.jp

Data Illustrator

data-illustrator.dataviz.jp

What is this tool?

Data Illustrator is a web application that lets you create data visualizations visually without programming. It aims to generate charts with the feel of drawing graphics using vector design operations, similar to Figma or Adobe Illustrator.

Features

An intuitive, vector-design-like interface for drawing, selecting, and manipulating.
Supports data binding (linking data to graphics).
Automatic visual encoding: Assign data columns to visual attributes such as color, shape, and position for instant rendering.
UI components including Canvas, Data Panel, Layers Panel, and Property Inspector enable editing and structuring.

How to use

1. Import data and display the data table.
1. Draw, select, and edit shapes.
1. Bind data columns to shape attributes such as position, color, and size. Updates are reflected immediately.
1. Export or save the created visualization.

Data formats

Tabular data (CSV)

Gephi Lite

Mon, 01 Jan 0001 00:00:00 +0000

dataviz.jp

Gephi Lite

gephi-lite.dataviz.jp

What is this tool?

Gephi Lite is a web application that allows you to easily create network graphs (relationship visualizations) in your browser. You can load data composed of nodes (points) and edges (lines), and intuitively perform layout calculations, color coding, filtering, and more.

Features

Graph Visualization: Interactively display relationships between nodes and edges. Zoom, pan, and node selection are supported
Layout Calculation: Multiple layout algorithms including ForceAtlas2, Force Directed, Circular, and CirclePack
Appearance Settings: Automatically assign colors, sizes, and labels to nodes and edges based on attribute values
Filtering: Narrow down the display of nodes and edges by attribute values or range specifications
Metrics Calculation: Compute network analysis metrics such as degree, PageRank, betweenness centrality, and Louvain community detection
Data Table: View and edit node and edge attributes in a list format
Export: Export as graph images (PNG) or graph data (GEXF)
Japanese/English Auto-Switch: The UI automatically switches based on your browser’s language settings

How to use

When you access the page, a sample graph or an empty workspace will be displayed
Load data using the “Open Data File” button at the top of the screen, or by dragging and dropping a file
Select “Layout” from the left side menu and run an algorithm to automatically arrange the nodes
In the “Appearance” menu, set colors and sizes based on attributes to make the graph easier to read
Deepen your analysis using “Filters” and “Metrics”
The completed graph can be exported as an image (PNG) or data file (GEXF)

Data formats

The following file formats are supported.

Format	Extension	Description
CSV	`.csv`	Edge list format. The first row contains headers (Source, Target, etc.), and subsequent rows contain the data for each edge. The simplest format
GEXF	`.gexf`	Gephi’s standard XML format. Retains rich node/edge attributes and visual information
GraphML	`.graphml`	A standard XML-based graph description format
Graphology JSON	`.json`	JSON format for the Graphology library

CSV file format example:

Source,Target,Weight
Alice,Bob,1.0
Bob,Charlie,2.0
Alice,Charlie,1.5

The first row is the header (required)
The Source (or From, Src) and Target (or To, Dst) columns are automatically detected
Other columns (such as Weight) are imported as edge attributes
Nodes are automatically generated from the Source / Target values
Character encoding supports both UTF-8 and Shift_JIS

Parallel Coordinates

Mon, 01 Jan 0001 00:00:00 +0000

dataviz.jp

Parallel Coordinates

parallel-coordinates.dataviz.jp

What is this tool?

An interactive chart specialized for comparing and exploring multidimensional data. Simply upload a CSV file, and numeric columns are displayed as parallel axes with each row drawn as a polyline crossing them. Brushing on each axis lets you filter data matching specific conditions, making it easy to discover patterns and outliers intuitively.

Features

Brushing: Drag vertically on each axis to specify a range and filter data matching the conditions
Axis reordering: Drag column names horizontally to rearrange axis order. Place related metrics side by side for comparison
Scale switching: Toggle between three modes — Original (raw values), Min-Max (0–1 normalization), and Z-Score (standardization)
Table synchronization: The data table below syncs with brushing results. Hovering over a row highlights the corresponding line on the chart
Export: Export filtered results as CSV and chart images as SVG/PNG
Share — Share the current view via URL. OGP images for social media are generated automatically
Project saving: Save and restore data and settings (scale, axis order, brush ranges) to the cloud with thumbnails

How to use

Click “CSV Upload” to load your data (or try “Sample” to use yogurt nutrition data)
Drag vertically on an axis to narrow down a range of interest
Switch the Scale to Min-Max or Z-Score as needed to compare metrics with different units
Drag axis names horizontally to place items you want to compare next to each other
Hover over a table row to highlight the corresponding line on the chart
Export results as CSV/SVG/PNG, or save as a project to the cloud

Data format

File format: CSV (comma-separated, UTF-8)
Structure: First row as header (column names), subsequent rows as data
Numeric columns: Automatically detected and displayed as chart axes
String columns: Shown in the table but not included as chart axes
Missing values: Empty cells are treated as missing

Vega Editor

Mon, 01 Jan 0001 00:00:00 +0000

dataviz.jp

Vega Editor

JSON 形式で可視化仕様を書くことで、インタラクティブなグラフやチャートをリアルタイムにレンダリング

vega-editor.dataviz.jp

What is this tool?

Vega Editor is a web-based IDE (editor) for writing, editing, and previewing Vega and Vega-Lite visualization specifications. By writing visualization specifications in JSON format, you can render interactive graphs and charts in real time. Vega and Vega-Lite are declarative visualization grammars that generate charts by defining data and display rules in JSON.

Features

Text editor / code view…Provides an editor for entering and editing Vega/Vega-Lite JSON.
Real-time preview…Instantly displays the edited specification as a visualization in the browser.
Samples and templates…Load example specs for learning and experimentation (a feature of the official version).
Vega / Vega-Lite mode switching…Edit and preview in both specification formats (a standard feature of the official tool).
Sharing / Export…Save and share specifications via GitHub Gist and other backend integrations (an official version feature).

How to use

1. Write specifications in JSON format…Enter Vega or Vega-Lite specifications into the editor.
1. View the preview…The specification is rendered in real time so you can review the results.
1. Save and share as needed…Save specifications to Gist or similar services for sharing with others (when backend integration is available).

Data formats

JSON (Vega / Vega-Lite specification)…Describes the visualization definition (data references, transforms, encodings, marks, etc.) in JSON.
Tabular data as data sources…Vega/Vega-Lite can load external data either by embedding it directly within the JSON or by referencing CSV/TSV file URLs (as part of the specification standard).

Voyager2

Mon, 01 Jan 0001 00:00:00 +0000

dataviz.jp

Voyager2

データ探索（Exploratory Data Analysis, EDA）を支援するビジュアライゼーションツール

voyager2.dataviz.jp

What is this tool?

Voyager 2 is a visualization tool that supports Exploratory Data Analysis (EDA). It lets you load data in the browser and interactively explore and generate visualizations. The original project is a fork/derivative of Voyager developed on the Vega ecosystem, characterized by its combination of manual chart specification and automatic recommendations for exploration support.

Features

Data exploration interface…Load data and interact through panels for field lists, chart encodings, filtering, and more.
Visualization recommendation…Automatically generate related charts (related views) and multiple chart candidates using wildcards, displaying them alongside the current visualization (focus view).
Partial specification with multiple chart generation…Use wildcards to simultaneously generate and compare multiple visualization specifications.
Interactive operations…Drag and drop fields onto encoding channels and update visualizations in real time.

How to use

1. Load data…Load tabular data such as CSV and review the field list.
1. Specify the visualization…Drag fields to encoding channels (e.g., x-axis, y-axis, color) to create a visualization.
1. Use exploration support…Simultaneously generate multiple views using wildcards, or use recommended views to broadly explore data.
1. Adjust and compare results…Compare recommended visualizations and generated charts while deepening your analysis.

Data formats

Tabular data (CSV, TSV)
JSON

Word Cloud

Mon, 01 Jan 0001 00:00:00 +0000

dataviz.jp

Word Cloud

日本語に特化したWord Cloud

word-cloud.dataviz.jp

What is this tool?

Word Cloud is a web tool that visualizes word frequency in text data by displaying more frequent words in larger sizes, creating a “word cloud” directly in the browser.

Word clouds are a visualization technique used to intuitively grasp key words in text data at a glance. Word size and color represent frequency trends.

Features

Text input / upload…Enter text files or text data to generate a word cloud.
Frequency analysis…Counts word occurrences and adjusts word sizes according to their frequency.
Word cloud display…Renders the word cloud with sizes and arrangements corresponding to word frequency.
Customization…Adjust maximum/minimum font sizes, colors, layout, and more.
Export / save…Provides an interface to save generated results as images or SVG.

How to use

1. Input / upload text data…Load text data using the text area or file upload.
1. Generate the word cloud…Click the “Generate” button, and a word cloud based on word frequency within the text is displayed.
1. Customize…Adjust parameters for font size, color, layout settings, etc.
1. Save results…Download the generated word cloud as PNG / SVG or CSV.

Data formats

Input formats
- Text (TXT) or copy-and-paste strings: Input directly into the tool.
- CSV / TXT files: Upload files containing word lists or text data.
Output formats
- Images (PNG / SVG): Save the visualized word cloud as an image.
- CSV: Save the morphologically analyzed tokens (words) and their frequency data.

QuickChart UI

Mon, 01 Jan 0001 00:00:00 +0000

dataviz.jp

QuickChart UI

URLだけでチャート画像生成

quickchart.dataviz.jp

What is this tool?

QuickChart is a tool that instantly generates static chart images (PNG, etc.) from specified data and chart definitions (Chart.js format) using only a URL.

Its distinctive feature is the ability to create embeddable chart images for server-side applications, emails, reports, documents, and other environments where JavaScript cannot be executed.

This tool provides a GUI for conveniently configuring those URL parameters.

Features

Chart image generation…Generate static chart images such as bar charts, line charts, and pie charts from settings specified via URL parameters or query strings.
URL-only workflow…Create charts using just the URL query, with no need to install complex libraries.
Usable as images…Generated charts are output as PNG or other image formats, making them easy to embed in web pages, reports, and emails.

How to use

1. Specify the chart configuration in JSON format via URL query parameters.
1. Use the generated image URL directly or download it.

Data formats

Tabular data (CSV)