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Avoiding data pitfalls : how to steer clear of common blunders when working with data and presenting analysis and visualizations /
"Avoiding Data Pitfalls is a useful resource that points out common data viz. mistakes so that users can avoid making them and notice them when they are made by others. Working with data is so common now, but the vast majority of "data workers" were trained in another technical field...
| Clasificación: | Libro Electrónico |
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| Autor principal: | |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Hoboken, New Jersey :
John Wiley & Sons, Inc.,
[2020]
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| Temas: | |
| Acceso en línea: | Texto completo (Requiere registro previo con correo institucional) |
Tabla de Contenidos:
- The seven types of data pitfalls
- Pitfall 1: Epistemic errors
- Pitfall 2: Technical trespasses
- Pitfall 3: Mathematical miscues
- Pitfall 4: Statistical slipups
- Pitfall 5: Analytical abberations
- Pitfall 6: Graphical gaffes
- Pitfall 7: Design dangers.