[{"content":" dataviz.jp(Geo) DataMerger地理データとテーマデータを手軽に結合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.\nFeatures Load geographic and attribute data\u0026hellip;Read GeoJSON/TopoJSON, CSV, and JSON files, and preview their contents. Key-based join\u0026hellip;Join geographic data (Feature properties) with attribute data using a common key column (left join basis). Remove unnecessary columns\u0026hellip;After merging, select and remove unwanted columns from the output via the UI. Output format selection\u0026hellip;Save and download the merged data as GeoJSON/TopoJSON/CSV. How to use Load geographic and attribute data\u0026hellip;Load GeoJSON/TopoJSON on the left side and CSV/JSON on the right side. Specify the join key\u0026hellip;Select the column (key) used for joining from each data preview, and verify that they match correctly. Remove unnecessary columns\u0026hellip;Select and delete unneeded attribute columns after merging. Export and save\u0026hellip;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. ","date":"0001-01-01T00:00:00Z","image":"https://app.dataviz.jp/geo-data-merger/images/cover_geo-data-merger_hu_e4dca32cd2b34c8e.jpg","permalink":"https://app.dataviz.jp/en/geo-data-merger/","title":"(Geo) DataMerger"},{"content":" dataviz.jp3D Surface ChartVisualize 3D data of row × column × value as a color-mapped surface resembling a topographic map3d-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 \u0026ldquo;row × column × value\u0026rdquo; 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.\nFeatures 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 \u0026ldquo;Export\u0026rdquo; to download a PNG image, or \u0026ldquo;Share\u0026rdquo; 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.\ncol1 col2 col3 ... row1 5.53 5.47 5.36 ... row2 5.42 5.38 5.25 ... In CSV format:\nlabel,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\nYear,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\u0026rsquo;s pivot() before loading.\nReferences The idea of using a 3D surface chart for time-series yield curves originated from The New York Times.\nA 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\n","date":"0001-01-01T00:00:00Z","image":"https://app.dataviz.jp/3d-surface-chart/images/cover_3d-surface-chart_hu_af09276f747bed1c.png","permalink":"https://app.dataviz.jp/en/3d-surface-chart/","title":"3D Surface Chart"},{"content":"Here is a guide to the data visualization tools available, organized by purpose.\nCreate various charts Exploratory data visualization 3D visualization 3D map visualization Create data maps by prefecture or municipality Create world data maps Network visualization Text visualization Code-based quick visualization Animate aircraft and ship trajectories Create various charts dataviz.jpRAWGraphs2Create diverse charts with easerawgraphs.dataviz.jp dataviz.jpData IllustratorCreate diverse charts with easedata-illustrator.dataviz.jp Exploratory data visualization dataviz.jpVoyager2A visualization tool for Exploratory Data Analysis (EDA)voyager2.dataviz.jp dataviz.jpParallel Coordinatesparallel-coordinates.dataviz.jp 3D visualization dataviz.jp3D Surface ChartDisplay 3D data (row × column × value) as a colored surface, like a topographic map3d-surface-chart.dataviz.jp 3D map visualization dataviz.jpkepler.glVisualization and exploration tool for large-scale geospatial datakepler-gl.dataviz.jp Create data maps by prefecture or municipality dataviz.jpJapan Choropleth MapEasily create choropleth maps of Japanchoropleth-japan.dataviz.jp dataviz.jpJapan CartogramEasily create cartograms of Japancartogram-japan.dataviz.jp dataviz.jpPrefecture Choropleth MapEasily create choropleth maps of prefectureschoropleth-prefectures.dataviz.jp dataviz.jpPrefecture CartogramEasily create cartograms of prefecturescartogram-prefectures.dataviz.jp Create world data maps dataviz.jpTilegramsCreate tile mapstilegrams.dataviz.jp Network visualization dataviz.jpSankeymaticCreate Sankey diagrams with easesankeymatic.dataviz.jp dataviz.jpCytoscapeWeb version of Cytoscapecytoscape.dataviz.jp dataviz.jpGephi LiteCreate network graphs with easegephi-lite.dataviz.jp Text visualization dataviz.jpWord CloudWord Cloud specialized for Japaneseword-cloud.dataviz.jp Code-based quick visualization dataviz.jpVega EditorWrite visualization specs in JSON to render interactive graphs and charts in real timevega-editor.dataviz.jp dataviz.jpQuickChart UIGenerate chart images with just a URLquickchart.dataviz.jp dataviz.jpSVG Gradient EditorDesign gradients for your chartssvg-gradient.dataviz.jp dataviz.jpSVG Texture EditorDesign textures for your chartssvg-tectures.dataviz.jp dataviz.jpEasing Functions Cheat SheetVisualize parameter changes over timeeasings.dataviz.jp Animate aircraft and ship trajectories dataviz.jpADS-B / AIS VisualizationEasily animate aircraft and ship movement databbts.dataviz.jp ","date":"0001-01-01T00:00:00Z","permalink":"https://app.dataviz.jp/en/how-to-use-data-viz/","title":"Choosing the Right Data Visualization Tool"},{"content":"Here is a guide to the data wrangling tools available, organized by purpose.\nVisually cleanse your data Easily merge map data with thematic data Quickly understand JSON structure Fix character encoding issues Easily convert addresses to latitude/longitude Extract table data from PDFs Remove furigana from Aozora Bunko texts Use Mapbox Studio base maps in Foursquare Studio or Kepler.gl Reduce map data file size Quickly create buffer zones around POIs Create custom map data Format and convert map data Convert bus route data to network data Convert SVG for use in graphic tools Easily identify map tile locations Visually cleanse your data dataviz.jpOpenRefineData cleansing and transformation tool for tabular dataopen-refine.dataviz.jp Easily merge map data with thematic data dataviz.jp(Geo) DataMergerEasily merge geographic data with thematic datageo-data-merger.dataviz.jp Quickly understand JSON structure dataviz.jpJSON CrackVisually understand JSON data structures in your browserjsoncrack.dataviz.jp Fix character encoding issues dataviz.jpShift JIS ⇄ UTF-8 ConverterConvert character encoding between Shift JIS and UTF-8change-character-encoding.dataviz.jp Easily convert addresses to latitude/longitude dataviz.jpAddress to Lat/Lon ConverterGeocoding tooladdress-to-latlon.dataviz.jp Extract table data from PDFs dataviz.jpTabula PDFExtract table data from PDFstabula-pdf.dataviz.jp Remove furigana from Aozora Bunko texts dataviz.jpAozora Furigana RemoverRemove furigana and metadata from Aozora Bunko novelsaozora-furigana.dataviz.jp Use Mapbox Studio base maps in Foursquare Studio or Kepler.gl dataviz.jpMapbox Classic StylesMapbox map tiles for use with Kepler.gl and Foursquare Studioclassic-mapbox-styles.dataviz.jp Reduce map data file size dataviz.jpMapshaperProcess and convert map datamapshaper.dataviz.jp Quickly create buffer zones around POIs dataviz.jpTurf BufferEasily create radius buffers in your browserturf-buffer.dataviz.jp Create custom map data dataviz.jpGeoJSON.ioTrace map tiles to create GeoJSONgeojson.dataviz.jp Format and convert map data dataviz.jpLat/Lon FormatterEasily convert latitude/longitude decimal placeslatlon-formatter.dataviz.jp dataviz.jpTransform CoordinatesConvert coordinates of geographic feature filestransform-coordinates.dataviz.jp Convert bus route data to network data dataviz.jpGTFS to NetworkConvert GTFS transit data to network datagtfs-to-network.dataviz.jp Convert SVG for use in graphic tools dataviz.jpSVG ⇄ GeoJSON ConverterConvert between GeoJSON and SVG formatsgeojson-and-svg.dataviz.jp Easily identify map tile locations dataviz.jpMap Tile BrowserBrowse multiple open map tile types and check XYZ tile coordinateswhat-the-tile.dataviz.jp ","date":"0001-01-01T00:00:00Z","permalink":"https://app.dataviz.jp/en/how-to-use-data-wrangling/","title":"Choosing the Right Data Wrangling Tool"},{"content":" dataviz.jpDraw-to-Answer Line Chartdrawing-line-chart.dataviz.jp What is this tool? \u0026ldquo;Draw-to-Answer Line Chart\u0026rdquo; 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.\nFeatures CSV upload: Create quizzes from your own time-series data Sample data: Try it instantly with built-in datasets — U.S. unemployment rate, Japan\u0026rsquo;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 \u0026amp; share: Share your quiz via URL or on social media Project save \u0026amp; load: Save work-in-progress quizzes and resume editing later How to use Upload data — Drag \u0026amp; 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.\nColumn 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 ([{\u0026ldquo;x\u0026rdquo;: 2000, \u0026ldquo;y\u0026rdquo;: 4.0}, \u0026hellip;]) ","date":"0001-01-01T00:00:00Z","image":"https://app.dataviz.jp/drawing-line-chart/images/cover_drawing-line-chart_hu_9ea28db30b5f006d.png","permalink":"https://app.dataviz.jp/en/drawing-line-chart/","title":"Draw-to-Answer Line Chart"},{"content":" dataviz.jpGeoJSON.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.\nFeatures Draw and edit data on a map\u0026hellip;Draw markers (points), polylines (lines), and polygons (areas) on the map and freely edit them. Real-time code editing and preview\u0026hellip;Drawn shapes are instantly updated and displayed as GeoJSON code, and attribute editing is also supported. Multi-format import\u0026hellip;Import and edit spatial data including GeoJSON, TopoJSON, CSV, KML, and more (historically supported by the tool). Simple attribute editing\u0026hellip;Edit and delete field values in table view to adjust Feature properties. How to use Load data or create new drawings\u0026hellip;Upload existing GeoJSON, or draw points, lines, and polygons on the map. Edit attributes and code\u0026hellip;Interactively edit drawings and attribute information. Save and share\u0026hellip;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 ","date":"0001-01-01T00:00:00Z","image":"https://app.dataviz.jp/geojson/images/cover_geojson_hu_ae87efc44c887c27.jpg","permalink":"https://app.dataviz.jp/en/geojson/","title":"GeoJSON.io"},{"content":" dataviz.jpGTFS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.\nFeatures Uses stop information (stops.txt) and stop time information (stop_times.txt) to generate network data in CSV format.\n1. 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_ids traversing the same segment (source to target). avg_duration_sec Average travel time (seconds) Average travel time for the same segment. How to use Upload GTFS files\u0026hellip;Load the target files via drag-and-drop or file selection. Specify the current format\u0026hellip;Select whether it is 1 file or 2 files. Press the convert button\u0026hellip; 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 ","date":"0001-01-01T00:00:00Z","image":"https://app.dataviz.jp/gtfs-to-network/images/gtfs-to-network_hu_a77a17226dc49fbb.png","permalink":"https://app.dataviz.jp/en/gtfs-to-network/","title":"GTFSネットワークデータ変換"},{"content":" dataviz.jpi want hue区別しやすいカラーパレットを生成iwanthue.dataviz.jp 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.\nFeatures Color palette generation\u0026hellip;Automatically generates easy-to-distinguish color combinations based on the specified number of colors. Color property adjustments\u0026hellip;Design custom palettes by specifying ranges for hue, chroma (saturation), and lightness. Color vision deficiency support\u0026hellip;Capable of generating palettes that accommodate color vision diversity (color vision deficiency). Diverse output formats\u0026hellip;Retrieve generated palettes as JSON, CSS, RGB/HEX lists, JavaScript code, and more. How to use Set generation parameters\u0026hellip;Specify the number of colors, hue range, and saturation/lightness constraints for the palette. Generate the palette\u0026hellip;Colors are listed based on your settings. Customize and adjust\u0026hellip;Fine-tune individual colors or overall distribution to optimize visibility and color balance. Export and use\u0026hellip;Export in JSON, CSS, JavaScript, and other formats for use in data visualizations. ","date":"0001-01-01T00:00:00Z","image":"https://app.dataviz.jp/iwanthue/images/cover_iwanthue_hu_c9a97d9c4b4057ba.png","permalink":"https://app.dataviz.jp/en/iwanthue/","title":"i want hue"},{"content":" dataviz.jpJapanese-Western Calendar ConverterConvert between Japanese era dates and Western datescalendar-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.\nFeatures Real-time conversion — Type in either the Japanese era or Western date field, and the other field updates instantly CSV batch conversion — Drag \u0026amp; 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\u0026rsquo;s language setting How to use Manual conversion Enter a date in either the \u0026ldquo;Japanese era\u0026rdquo; or \u0026ldquo;Western\u0026rdquo; input field at the top of the page The converted result appears automatically in the other field Batch file conversion Drag \u0026amp; 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 \u0026ldquo;Convert and Download\u0026rdquo; 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 ","date":"0001-01-01T00:00:00Z","image":"https://app.dataviz.jp/calendar-converter/images/cover_calendar-converter_hu_7e2df5b673914b7b.png","permalink":"https://app.dataviz.jp/en/calendar-converter/","title":"Japanese-Western Calendar Converter"},{"content":" dataviz.jpJSON 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.\nFeatures Visualizes JSON and structured data as node-and-edge graphs or trees, with expand and collapse capabilities. How to use Input data\u0026hellip;Paste JSON or upload from a file. An interactive node diagram or tree is rendered based on the input content. Expand/collapse, search, zoom, and other operations as needed. Data formats JSON ","date":"0001-01-01T00:00:00Z","image":"https://app.dataviz.jp/jsoncrack/images/cover_jsoncrack_hu_37733359dd5c8324.png","permalink":"https://app.dataviz.jp/en/jsoncrack/","title":"JSON Crack"},{"content":" 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.\nFeatures 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 Add data: Drag and drop CSV or GeoJSON files to load them. Configure layers: Select a type (point/polygon, etc.) from the layer panel and assign columns such as latitude and longitude. Customize: Adjust colors, sizes, filters, and scales to optimize the visualization. Save and share: Save settings and maps (locally/export) for reuse. Data formats CSV Json GeoJSON Arrow Parquet ","date":"0001-01-01T00:00:00Z","image":"https://app.dataviz.jp/kepler-gl/images/cover_kepler-gl_hu_62adc19db379f6a9.jpg","permalink":"https://app.dataviz.jp/en/kepler-gl/","title":"kepler.gl"},{"content":" dataviz.jpLeonardoAdobe 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.\nFeatures Contrast ratio-based color generation\u0026hellip;Automatically generates colors that match a specified target contrast ratio, producing palettes that meet accessibility standards (WCAG) requirements. Color theme design and management\u0026hellip;Create and adjust color scales and overall theme structures to build accessible themes for design systems. Visual evaluation and export\u0026hellip;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\u0026hellip;Generate color schemes that adapt to light mode and dark mode by adjusting brightness, saturation, and contrast. How to use Set base colors\u0026hellip;Specify the base color, background color, and target contrast ratio. Generate and adjust palettes\u0026hellip;Review the automatically generated color swatches, and adjust the color space and ratios as needed. Export results\u0026hellip;Export in your preferred format such as SVG, color code lists, CSS/JS/design tokens, and use them in your project. ","date":"0001-01-01T00:00:00Z","image":"https://app.dataviz.jp/leonardo/images/cover_leonardo_hu_b292fa9fdc23c88f.jpg","permalink":"https://app.dataviz.jp/en/leonardo/","title":"Leonardo"},{"content":" dataviz.jpMapbox 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.\nFeatures Mapbox Classic style generation\u0026hellip;Generate and reference Classic style JSON files (e.g., Streets, Light, Dark, etc.). Compatible with Kepler.gl and similar tools\u0026hellip;Use the generated styles as base maps in map visualization tools like Kepler.gl. Template management\u0026hellip;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\u0026hellip;Choose a Classic style (e.g., Light / Dark / Streets, etc.). Generate JSON\u0026hellip;Generate the Mapbox Classic style JSON based on your selection and edits. Import\u0026hellip;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\n","date":"0001-01-01T00:00:00Z","image":"https://app.dataviz.jp/classic-mapbox-styles/images/cover_classic-mapbox-styles_hu_eaa1546adb32feee.png","permalink":"https://app.dataviz.jp/en/classic-mapbox-styles/","title":"Mapbox Classic スタイル生成"},{"content":" dataviz.jpMapshapermapshaper.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.\nFeatures 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 Load and display data\u0026hellip;Imported geographic data is displayed in map view, where you can review attributes and shapes. 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. Export\u0026hellip;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\u0026rsquo;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) ","date":"0001-01-01T00:00:00Z","image":"https://app.dataviz.jp/mapshaper/images/cover_mapshaper_hu_a8429bf9d44435c0.jpg","permalink":"https://app.dataviz.jp/en/mapshaper/","title":"Mapshaper"},{"content":" dataviz.jpOpenRefine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.\nIt can save the state of your cleansing work on the server side, and also record cleansing procedures for reapplication to similar files.\nFeatures 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 Load data in CSV / TSV / Excel / JSON or other formats Use Facets and filters to identify problematic values Clean up data using transformations, replacements, and clustering 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.jpOpenRefineの公式解説サイトOpenRefine解説open-refine-doc.dataviz.jp ","date":"0001-01-01T00:00:00Z","image":"https://app.dataviz.jp/openrefine/images/cover_open-refine_hu_ec23e442c008b09a.jpg","permalink":"https://app.dataviz.jp/en/openrefine/","title":"OpenRefine"},{"content":" dataviz.jpRAWGraphs2rawgraphs.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.\nA missing link tool that bridges the gap between Excel and graphic applications like Adobe Illustrator.\nFeatures 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 Load your data Choose a chart Map the data 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.\n","date":"0001-01-01T00:00:00Z","image":"https://app.dataviz.jp/rawgraphs-db/images/cover_rawgraphs-db_hu_a164e6efc83dbe6.jpg","permalink":"https://app.dataviz.jp/en/rawgraphs-db/","title":"RAWGraphs2"},{"content":" dataviz.jpSankeymaticsankeymatic.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.\nFeatures Create beautiful Sankey diagrams Export as PNG or SVG images How to use Load data from the \u0026ldquo;Input\u0026rdquo; section Adjust styles Export the result Data formats Proprietary notation for this tool source [value] target ","date":"0001-01-01T00:00:00Z","image":"https://app.dataviz.jp/sankeymatic/images/cover_sankeymatic_hu_f68cecbc59db5687.png","permalink":"https://app.dataviz.jp/en/sankeymatic/","title":"Sankeymatic"},{"content":" dataviz.jpShift 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.\nFiles 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.\nFeatures 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 Enter or upload the text you want to convert. Copy or download the converted text. The tool automatically detects whether the file is Shift JIS or UTF-8.\nData formats Tabular data (CSV, TSV, DSV) JSON ","date":"0001-01-01T00:00:00Z","image":"https://app.dataviz.jp/change-character-encoding/images/cover-change-character-encoding_hu_8bdd74485d262c60.png","permalink":"https://app.dataviz.jp/en/change-character-encoding/","title":"Shift JIS ⇄ UTF-8 文字コード変換ツール"},{"content":" dataviz.jpSVG ⇄ 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).\nIt 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.\nGeoJSON is a standard JSON-based format for location data, widely used for web mapping and GIS integration.\nFeatures Bi-directional conversion between geospatial data (GeoJSON) and SVG (vector image format)\nHow to use Load a file Download No special operations are required.\nData formats SVG GeoJSON ","date":"0001-01-01T00:00:00Z","image":"https://app.dataviz.jp/geojson-and-svg/images/cover_geojson-and-svg_hu_f219570676423a6.jpg","permalink":"https://app.dataviz.jp/en/geojson-and-svg/","title":"SVG ⇄ GeoJSON 変換ツール"},{"content":" dataviz.jpTabula PDFPDF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.\nYou 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 \u0026ldquo;you have the PDF but not the original data.\u0026rdquo;\nFeatures 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 Upload a PDF file Open the target page and select the table area to extract Choose the extraction mode and review the preview 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. ","date":"0001-01-01T00:00:00Z","image":"https://app.dataviz.jp/tabula-pdf/images/cover_tabula-pdf_hu_c06dcf09899ec484.jpg","permalink":"https://app.dataviz.jp/en/tabula-pdf/","title":"Tabula PDF"},{"content":" dataviz.jpText Entity Extraction Tooltext-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.\nFeatures 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 \u0026amp; 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 \u0026amp; extract — Select the target column and entity type (hashtag / mention / URL / email / phone number), then click \u0026ldquo;Extract\u0026rdquo; Review \u0026amp; download — Check the extraction count and click \u0026ldquo;Download CSV\u0026rdquo; 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 \u0026ldquo;Column 1, Column 2, \u0026hellip;\u0026rdquo;) 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 ","date":"0001-01-01T00:00:00Z","image":"https://app.dataviz.jp/text-entity/images/cover_text-entity_hu_5dd91ae87348b722.jpg","permalink":"https://app.dataviz.jp/en/text-entity/","title":"Text Entity Extraction Tool"},{"content":" 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 \u0026ldquo;easing functions\u0026rdquo; \u0026ndash; 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.\nFeatures Easing function catalog\u0026hellip;Browse a wide range of easing functions (e.g., easeInSine, easeOutBounce) in a list view. Visual comparison with graphs\u0026hellip;See how each function changes over time (t) displayed as a graph. CSS and code examples\u0026hellip;Includes information showing how to use each function as CSS Transition / Animation or in code. Real-time preview\u0026hellip;A UI that lets you visually confirm the motion of your selected function. How to use Select a function\u0026hellip;Click or select the desired easing function from the list. Review the behavior\u0026hellip;Compare how values change using the graph and preview of the selected function. Apply to your project\u0026hellip;Copy the function name or code and paste it into your animation library or CSS Timing Function. ","date":"0001-01-01T00:00:00Z","image":"https://app.dataviz.jp/easings/images/cover_easings_hu_7553191ce4a3863d.png","permalink":"https://app.dataviz.jp/en/easings/","title":"イージング関数チートシート"},{"content":" 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 \u0026ldquo;buffers (buffer zones)\u0026rdquo; at a specified distance around geospatial data (points, lines, polygons).\nA buffer is a polygon area that expands a specified distance around a given feature, and is a technique commonly used in GIS spatial analysis.\nWhen creating data maps with buffers such as \u0026ldquo;within a 10-minute walk from a certain point,\u0026rdquo; using the desktop application QGIS requires the following steps:\nConvert the data file from a geographic coordinate system to a projected coordinate system that varies by region Perform the buffering operation 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.\nFeatures 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 Upload CSV data\u0026hellip;Select a CSV file containing latitude and longitude columns. Specify buffer parameters\u0026hellip;Enter the buffer radius (in meters). Generate and review the buffer\u0026hellip;Press the create button, and the buffer areas are drawn on the map. Download\u0026hellip;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. ","date":"0001-01-01T00:00:00Z","image":"https://app.dataviz.jp/turf-buffer/images/cover_turf-buffer_hu_d61fd0b7791dab9f.png","permalink":"https://app.dataviz.jp/en/turf-buffer/","title":"バッファ生成ツール"},{"content":" 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.\nFeatures Batch conversion (CSV support)\u0026hellip;Upload a CSV file containing multiple addresses, and retrieve latitude and longitude for each address. High-accuracy geocoding\u0026hellip;Uses Geolonia\u0026rsquo;s community geocoder (based on the Ministry of Land, Infrastructure, Transport and Tourism\u0026rsquo;s Address Reference Information), achieving conversion accuracy specialized for Japanese addresses. Character encoding support\u0026hellip;You can specify the character encoding of the input file (UTF-8 / Shift_JIS). Browser-only processing\u0026hellip;Data is processed entirely within the browser and is never sent to a server (privacy protection). How to use Upload a CSV file\u0026hellip;Load address data by clicking or drag-and-dropping a CSV file. Specify the character encoding\u0026hellip;Select the appropriate encoding from UTF-8 / Shift_JIS. Run the conversion\u0026hellip;A CSV file with automatically added latitude and longitude columns is generated. Download / Use\u0026hellip;Download the output CSV and import it into map rendering or analysis tools. Data formats Tabular data (CSV) ","date":"0001-01-01T00:00:00Z","image":"https://app.dataviz.jp/address-to-latlon/images/cover_address-to-latlon_hu_288ec926a34ea61c.jpg","permalink":"https://app.dataviz.jp/en/address-to-latlon/","title":"住所 → 緯度経度 変換ツール"},{"content":" dataviz.jp地図タイル・ブラウザーwhat-the-tile.dataviz.jp ","date":"0001-01-01T00:00:00Z","image":"https://app.dataviz.jp/what-the-tile/images/cover_what-the-tile_hu_50dc4d0118ca2b30.png","permalink":"https://app.dataviz.jp/en/what-the-tile/","title":"地図タイル・ブラウザー"},{"content":" 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 ","date":"0001-01-01T00:00:00Z","image":"https://app.dataviz.jp/transform-coordinates/images/cover_transform-coordinates_hu_9ae682531bcd5005.png","permalink":"https://app.dataviz.jp/en/transform-coordinates/","title":"座標系 変換ツール"},{"content":" 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.\nFeatures 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 Specify your data\u0026hellip;Upload or enter numerical data by region in CSV format (e.g., population, GDP, vote counts). Generate the cartogram\u0026hellip;Based on the specified statistical values, a distorted cartogram of the Japan map is generated and displayed on screen. Adjust and review\u0026hellip;Adjust parameters (color, degree of distortion, region label display, etc.) as needed and review the results. Data formats Tabular data (CSV) ","date":"0001-01-01T00:00:00Z","image":"https://app.dataviz.jp/cartogram-japan/images/cover_cartogram-japan_hu_7f1b7e7bc96e59da.png","permalink":"https://app.dataviz.jp/en/cartogram-japan/","title":"日本地図カルトグラム"},{"content":" 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 ","date":"0001-01-01T00:00:00Z","image":"https://app.dataviz.jp/choropleth-japan/images/cover_choropleth-japan_hu_5aafcd2bbee4b427.png","permalink":"https://app.dataviz.jp/en/choropleth-japan/","title":"日本地図コロプレス"},{"content":" 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.\nFeatures Format conversion Bi-directional conversion between single-column format (latitude and longitude in one cell, e.g., \u0026ldquo;35.6762,139.6503\u0026rdquo;) 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 Upload a CSV\u0026hellip;Load the target CSV via drag-and-drop or file selection. Specify the current format\u0026hellip;Select whether latitude and longitude are in single-column or two-column format. Choose the output format\u0026hellip;Select the desired single-column or two-column format. Adjust precision (optional)\u0026hellip;Set the number of decimal places for latitude and longitude. Convert and download\u0026hellip;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 \u0026ldquo;latitude,longitude\u0026rdquo;. CSV (two-column format): Standard format with separate latitude and longitude columns. ","date":"0001-01-01T00:00:00Z","image":"https://app.dataviz.jp/latlon-formatter/images/cover_latlon-formatter_hu_773826b6b511e8b3.png","permalink":"https://app.dataviz.jp/en/latlon-formatter/","title":"緯度経度フォーマッター"},{"content":" 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.\nFeatures 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 Specify your data\u0026hellip;Upload or enter numerical data by region in CSV format (e.g., population, GDP, vote counts). Generate the cartogram\u0026hellip;Based on the specified statistical values, a distorted cartogram of the prefecture map is generated and displayed on screen. Adjust and review\u0026hellip;Adjust parameters (color, degree of distortion, region label display, etc.) as needed and review the results. Data formats Tabular data (CSV) ","date":"0001-01-01T00:00:00Z","image":"https://app.dataviz.jp/cartogram-prefectures/images/cover_cartogram-prefectures_hu_781a928c5021baa0.png","permalink":"https://app.dataviz.jp/en/cartogram-prefectures/","title":"都道府県地図カルトグラム"},{"content":" 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 ","date":"0001-01-01T00:00:00Z","image":"https://app.dataviz.jp/choropleth-prefectures/images/cover_choropleth-prefectures_hu_fe819878c14d6e95.png","permalink":"https://app.dataviz.jp/en/choropleth-prefectures/","title":"都道府県地図コロプレス"},{"content":" 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 ","date":"0001-01-01T00:00:00Z","image":"https://app.dataviz.jp/aozora-furigana/images/cover_aozora-furigana_hu_ceb1533af962d02f.jpg","permalink":"https://app.dataviz.jp/en/aozora-furigana/","title":"青空文庫ルビ削除ツール"},{"content":" dataviz.jpColor 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.\nFeatures Color scheme selection assistance\u0026hellip;Presents color schemes for sequential data, diverging data, qualitative data, and more based on data characteristics. Usage considerations\u0026hellip;Filter options for colorblind safety, print friendliness, and photocopy safety. Number of classes\u0026hellip;Adjust the number of colors (e.g., 3 to 12) to select the optimal palette. Color output formats\u0026hellip;Export selected palettes in HEX/RGB/CMYK formats, CSS, JavaScript arrays, and more. Save and load created projects. How to use Select data nature\u0026hellip;Choose from sequential (ordered), diverging (bipolar around a center value), or categorical (unordered). Specify number of colors (classes)\u0026hellip;Select the desired number of data classes (e.g., 3, 4, \u0026hellip;). Review and adjust the palette\u0026hellip;Check how the selected palette looks on maps or charts. Export\u0026hellip;Export as CSS, JavaScript, Adobe Swatch, etc. as needed. ","date":"0001-01-01T00:00:00Z","image":"https://app.dataviz.jp/colorbrewer/images/cover_colorbrewer_hu_53bce3f33fa3d70a.jpg","permalink":"https://app.dataviz.jp/en/colorbrewer/","title":"Color Brewer"},{"content":" dataviz.jpCytoscapecytoscape.dataviz.jp What is this tool? A browser-based implementation of Cytoscape, which is popular as a desktop application.\nIt 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.\nCytoscape 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.\nFeatures 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 \u0026ldquo;Load Data File\u0026rdquo; button, or choose from \u0026ldquo;Load Sample Data\u0026rdquo; 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 \u0026ldquo;Node\u0026rdquo; row Select the attribute to use for edge color, thickness, and label from the dropdowns in the \u0026ldquo;Edge\u0026rdquo; row If needed, save as an SVG image using \u0026ldquo;Export\u0026rdquo; 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.\nCSV (Edge List Format) A format that can be easily created from spreadsheets or Excel.\nA 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 ","date":"0001-01-01T00:00:00Z","image":"https://app.dataviz.jp/cytoscape/images/cover_cytoscape_hu_f219801803f41465.jpg","permalink":"https://app.dataviz.jp/en/cytoscape/","title":"Cytoscape"},{"content":" dataviz.jpTilegramsタイル地図を作成できるツールtilegrams.dataviz.jp What is this tool? A web-based map creation tool that generates \u0026ldquo;tilegrams (tiled cartograms)\u0026rdquo; \u0026ndash; 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.\nFeatures Hexagonal tile cartogram generation\u0026hellip;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\u0026hellip;In addition to standard map templates for the United States, Europe, and other regions, you can load custom data to generate tilegrams. Interactive adjustment\u0026hellip;Drag tiles to adjust placement, or change the resolution (the value each tile represents) to optimize the appearance. Export\u0026hellip;Export the created tilegram in SVG or TopoJSON format for use and further editing in other tools. How to use Select a base map\u0026hellip;Start from a prepared geographic region (e.g., US states, French regions, etc.). Specify and load data\u0026hellip;Upload regional values (such as population or vote counts) in CSV format. Set resolution and adjust\u0026hellip;Set the value each tile represents (e.g., 1 tile = 1 million people), and optionally drag tiles for fine-tuning. Generate and export\u0026hellip;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).\n","date":"0001-01-01T00:00:00Z","image":"https://app.dataviz.jp/tilegrams/images/cover_tilegrams_hu_f44c38ea25b57b0a.png","permalink":"https://app.dataviz.jp/en/tilegrams/","title":"Tilegrams"},{"content":" dataviz.jpSVG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.\nFeatures Gradient design\u0026hellip;Visually edit linear and radial gradients for use in SVG. Color stop settings\u0026hellip;Add and adjust colors (stops) and positions along the gradient to create custom color schemes. Real-time preview\u0026hellip;Instantly review editing results and make adjustments while seeing the final appearance. SVG generation\u0026hellip;Output the completed gradient definition directly as SVG code. How to use Create a gradient\u0026hellip;Design the gradient by manipulating color stops, angles, and positions. Preview\u0026hellip;Check how the configured gradient renders in real time. Retrieve the generated SVG\u0026hellip;Copy or save the final gradient definition as SVG code and incorporate it into your designs or visualizations. ","date":"0001-01-01T00:00:00Z","image":"https://app.dataviz.jp/svg-gradient/images/cover-svg-gradient_hu_1cce2c3751e6abba.png","permalink":"https://app.dataviz.jp/en/svg-gradient/","title":"SVGグラデーションエディタ"},{"content":" dataviz.jpSVG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.\nFeatures Texture pattern generation and editing\u0026hellip;Visually create and adjust repeating patterns (stripes, dots, etc.) and texture patterns for embedding in SVG. Preview display\u0026hellip;Evaluate the appearance of patterns in real time as you edit. SVG output\u0026hellip;Retrieve the designed textures as SVG code or pattern definitions. How to use Design a texture\u0026hellip;Create a texture by configuring pattern type, spacing, direction, color, and other settings (via GUI). Real-time preview\u0026hellip;Review the appearance of the edited texture on the spot. Retrieve as SVG\u0026hellip;Copy or save the finished pattern as SVG XML (such as \u0026lt;pattern\u0026gt;) and apply it to other SVG shapes or charts. ","date":"0001-01-01T00:00:00Z","image":"https://app.dataviz.jp/svg-texture/images/cover-svg-texture_hu_c5c9fdd0271c42c7.jpg","permalink":"https://app.dataviz.jp/en/svg-texture/","title":"SVGテクスチャエディタ"},{"content":" dataviz.jpADS-B / AIS VisualizationEasily create videos from aircraft and ship movement databbts.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).\nFeatures CSV Upload: Load CSV files via drag \u0026amp; 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 \u0026amp; 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:\nPosition (required): lat / lon, latitude / longitude, or Position (\u0026ldquo;lat,lon\u0026rdquo; 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).\nColumn Name Description lat / lon Latitude / Longitude (abbreviated) latitude / longitude Latitude / Longitude (full name) Position Combined lat/lon format (\u0026quot;35.68,139.76\u0026quot;) Supported time data formats Time data is automatically detected in the following formats. Supported column names include timestamp, time, datetime, date, etc.\nFormat 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.\nReference What is ADS-B? What is AIS? ","date":"0001-01-01T00:00:00Z","image":"https://app.dataviz.jp/broadcast-tracking-system/images/cover_broadcast-tracking-system_hu_81cfae54951d5af8.jpg","permalink":"https://app.dataviz.jp/en/broadcast-tracking-system/","title":"ADS-B / AIS Visualization"},{"content":" dataviz.jpData Illustratordata-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.\nFeatures 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 Import data and display the data table. Draw, select, and edit shapes. Bind data columns to shape attributes such as position, color, and size. Updates are reflected immediately. Export or save the created visualization. Data formats Tabular data (CSV) ","date":"0001-01-01T00:00:00Z","image":"https://app.dataviz.jp/data-illustrator/images/cover_data-illustrator_hu_a7e21e58d68fe5e0.jpg","permalink":"https://app.dataviz.jp/en/data-illustrator/","title":"Data Illustrator"},{"content":" dataviz.jpGephi Litegephi-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.\nFeatures 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\u0026rsquo;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 \u0026ldquo;Open Data File\u0026rdquo; button at the top of the screen, or by dragging and dropping a file Select \u0026ldquo;Layout\u0026rdquo; from the left side menu and run an algorithm to automatically arrange the nodes In the \u0026ldquo;Appearance\u0026rdquo; menu, set colors and sizes based on attributes to make the graph easier to read Deepen your analysis using \u0026ldquo;Filters\u0026rdquo; and \u0026ldquo;Metrics\u0026rdquo; The completed graph can be exported as an image (PNG) or data file (GEXF) Data formats The following file formats are supported.\nFormat 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\u0026rsquo;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:\nSource,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 ","date":"0001-01-01T00:00:00Z","image":"https://app.dataviz.jp/gephi-lite/images/cover_gephi-lite_hu_ca3e24b6e6ffb573.jpg","permalink":"https://app.dataviz.jp/en/gephi-lite/","title":"Gephi Lite"},{"content":" dataviz.jpParallel Coordinatesparallel-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.\nFeatures 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 \u0026ldquo;CSV Upload\u0026rdquo; to load your data (or try \u0026ldquo;Sample\u0026rdquo; 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 ","date":"0001-01-01T00:00:00Z","image":"https://app.dataviz.jp/parallel-coordinates/images/cover_parallel-coordinates_hu_8d1957e574b6a167.png","permalink":"https://app.dataviz.jp/en/parallel-coordinates/","title":"Parallel Coordinates"},{"content":" dataviz.jpVega EditorJSON 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.\nFeatures Text editor / code view\u0026hellip;Provides an editor for entering and editing Vega/Vega-Lite JSON. Real-time preview\u0026hellip;Instantly displays the edited specification as a visualization in the browser. Samples and templates\u0026hellip;Load example specs for learning and experimentation (a feature of the official version). Vega / Vega-Lite mode switching\u0026hellip;Edit and preview in both specification formats (a standard feature of the official tool). Sharing / Export\u0026hellip;Save and share specifications via GitHub Gist and other backend integrations (an official version feature). How to use Write specifications in JSON format\u0026hellip;Enter Vega or Vega-Lite specifications into the editor. View the preview\u0026hellip;The specification is rendered in real time so you can review the results. Save and share as needed\u0026hellip;Save specifications to Gist or similar services for sharing with others (when backend integration is available). Data formats JSON (Vega / Vega-Lite specification)\u0026hellip;Describes the visualization definition (data references, transforms, encodings, marks, etc.) in JSON. Tabular data as data sources\u0026hellip;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). ","date":"0001-01-01T00:00:00Z","image":"https://app.dataviz.jp/vega-editor/images/cover_vega-editor_hu_617ed2e2e23dbd46.jpg","permalink":"https://app.dataviz.jp/en/vega-editor/","title":"Vega Editor"},{"content":" dataviz.jpVoyager2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.\nFeatures Data exploration interface\u0026hellip;Load data and interact through panels for field lists, chart encodings, filtering, and more. Visualization recommendation\u0026hellip;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\u0026hellip;Use wildcards to simultaneously generate and compare multiple visualization specifications. Interactive operations\u0026hellip;Drag and drop fields onto encoding channels and update visualizations in real time. How to use Load data\u0026hellip;Load tabular data such as CSV and review the field list. Specify the visualization\u0026hellip;Drag fields to encoding channels (e.g., x-axis, y-axis, color) to create a visualization. Use exploration support\u0026hellip;Simultaneously generate multiple views using wildcards, or use recommended views to broadly explore data. Adjust and compare results\u0026hellip;Compare recommended visualizations and generated charts while deepening your analysis. Data formats Tabular data (CSV, TSV) JSON ","date":"0001-01-01T00:00:00Z","image":"https://app.dataviz.jp/voyager2/images/cover_voyager2_hu_6dd530716baf5240.jpg","permalink":"https://app.dataviz.jp/en/voyager2/","title":"Voyager2"},{"content":" dataviz.jpWord Cloud日本語に特化したWord Cloudword-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 \u0026ldquo;word cloud\u0026rdquo; directly in the browser.\nWord clouds are a visualization technique used to intuitively grasp key words in text data at a glance. Word size and color represent frequency trends.\nFeatures Text input / upload\u0026hellip;Enter text files or text data to generate a word cloud. Frequency analysis\u0026hellip;Counts word occurrences and adjusts word sizes according to their frequency. Word cloud display\u0026hellip;Renders the word cloud with sizes and arrangements corresponding to word frequency. Customization\u0026hellip;Adjust maximum/minimum font sizes, colors, layout, and more. Export / save\u0026hellip;Provides an interface to save generated results as images or SVG. How to use Input / upload text data\u0026hellip;Load text data using the text area or file upload. Generate the word cloud\u0026hellip;Click the \u0026ldquo;Generate\u0026rdquo; button, and a word cloud based on word frequency within the text is displayed. Customize\u0026hellip;Adjust parameters for font size, color, layout settings, etc. Save results\u0026hellip;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. ","date":"0001-01-01T00:00:00Z","image":"https://app.dataviz.jp/word-cloud/images/cover_wordcloud_hu_81621cf552da130f.png","permalink":"https://app.dataviz.jp/en/word-cloud/","title":"Word Cloud"},{"content":" dataviz.jpQuickChart UIURL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.\nIts 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.\nThis tool provides a GUI for conveniently configuring those URL parameters.\nFeatures Chart image generation\u0026hellip;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\u0026hellip;Create charts using just the URL query, with no need to install complex libraries. Usable as images\u0026hellip;Generated charts are output as PNG or other image formats, making them easy to embed in web pages, reports, and emails. How to use Specify the chart configuration in JSON format via URL query parameters. Use the generated image URL directly or download it. Data formats Tabular data (CSV) ","date":"0001-01-01T00:00:00Z","image":"https://app.dataviz.jp/quickchart/images/cover-quickchart_hu_2488cf474c5c30e4.png","permalink":"https://app.dataviz.jp/en/quickchart/","title":"QuickChart UI"}]