Data Wrangling on Data Toolbox

JSON Crack

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

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

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

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

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

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