Blog
Visualization tool guides, research, building and maintaining, and reflections.
Visualization tool guides
What can you explore with our visualization tools? Guides to using them and reading the results.
- Tool 01What is the Human Resources Matching Survey Open Data?
An introduction to Japan’s Cabinet Office survey data, its origins in testing claims with evidence, and five visualizations you can use to explore your own questions.
Research
Guides to the research visualizations, and questions and reflections arising from exploring the data.
- Research 01-1What are the fields of specialized knowledge in the Human Resources Matching Survey?
The field choices in the Human Resources Matching Survey and four perspectives: education, current work, business development and growth, and future learning.
- Research 01-2Knowledge and work — An outline of the research
Our current thinking on knowledge and work: starting questions, previous research, reflections on the visualization, and questions to explore next.
- Research 02The data behind “High school, university and residence”
The school locations and residence responses used in the visualizations, and why they do not reveal the intervening routes of movement.
Building and maintaining
Data preparation and building and checking Tableau workbooks. Notes on making, publishing and maintaining tools.
- Tableau01Tableau troubleshooting 01: When source figures are missing or do not match
Follow data from source to screen, correct the process or settings, investigate five possible causes, and compare results before publishing or updating.
- Tableau02Tableau troubleshooting 02: It opens, but you cannot change it
Keep analysis moving when an answer is coming into reach. What to agree and hand over when the people building and using a Tableau tool are different.
- Tableau03Tableau troubleshooting 03: Commissioning, delivery and acceptance—so you can change what you receive
From display adjustments before publication to updates for a new year, visualizations need many kinds of changes. Drawing on operational experience, we introduce the delivery package Rokugeisha organizes into five folders.
Reflections
Questions and reflections that arise from exploring data and doing our work.
- ReflectionsListening beyond ‘I know that’: Fractal-kun’s dialogue on visualization
Can we call a visualization “change” or “movement”? The AI that raised the objection reflects on its discussion with Takuya Iwasaki.
- ReflectionsWhat comes to mind when we are asked about our field
Which parts of our work do we think about when asked to select a field? A reflection from the respondent’s perspective.
- ReflectionsTranslating the survey’s categories
Preserving the meaning of Japanese survey categories in provisional English translations.