Softbox
PASW Data Preparation
Improve Data Preparation for More Accurate Results
Producator: IBM SPSS | Platforma: Windows | Gestiune si prelucrare informatii
All researchers have to prepare their data prior to analysis. While data preparation tools are included in the IBM SPSS Statistics Base 18 product, sometimes you need more specialized techniques to get your data ready. With the IBM SPSS Data Preparation 18 (formerly SPSS Data Preparation) module, you gain new techniques to help you streamline the data preparation stage of the analytical process.
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Link producator: IBM SPSS
- Comercial Destinate end-userilor persoane fizice sau companii / firme
- Academic Institutii de invatamant: scoli, licee, universitati
- Guvernamental Pentru administratii / autoritati de stat publice sau locale
| Part number | Denumire licenta | Platforma | Licenta | RON cu TVA | Cantitate | Cos |
|---|---|---|---|---|---|---|
| New - PASW Data Preparation | ||||||
| PASW-DPREP-1 | PASW Data Preparation |
|
1 User | 1.189,21 RON | ||
| Part number | Denumire licenta | Platforma | Licenta | RON cu TVA | Cantitate | Cos |
|---|---|---|---|---|---|---|
| New - PASW Data Preparation | ||||||
| PASW-DPREP-3 | PASW Data Preparation |
|
3 User | 3.333,12 RON | ||
| PASW-DPREP-5 | PASW Data Preparation |
|
5 User | 5.475,84 RON | ||
| PASW-DPREP-10 | PASW Data Preparation |
|
10 User | 10.475,52 RON | ||
| PASW-DPREP-25 | PASW Data Preparation |
|
25 User | 24.046,08 RON | ||
| PASW-DPREP-50 | PASW Data Preparation |
|
50 User | 41.664,00 RON | ||
Prezentare PASW Data Preparation
All researchers have to prepare their data prior to analysis. While data preparation tools are included in the IBM SPSS Statistics Base 18product, sometimes you need more specialized techniques to get your data ready. With the IBM SPSS Data Preparation 18 (formerly SPSS Data Preparation) module, you gain new techniques to help you streamline the data preparation stage of the analytical process.
This module helps you to:
• Identify suspicious or invalid cases, variables, and data values
• View patterns of missing data
• Summarize variable distributions
• More accurately get your data ready for analysis