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Data is an important asset for every plant working over data process. There are number of organizations presently working on data process specifically. These organizations are in need of the desired data and their format. These data can only be achieved by proper data conversion and data transformation. Basically there are three kinds of data present in the computer science world. These are structured, unstructured and semi-structured data. Data that can easily be stored in text form. Organizations like banks has the excel sheet which consist of all structured data. Data stored in excel and csv file and can be extracted for any kind of information purpose. The analysis of structured data is quite easy as from the beginning scientist are working on structured data for data process. Like most of the forms of data research survey has fields that consist of data like numbers, text and figures.
| Autorius: | Shagufta Parveen |
| Leidėjas: | Self Publisher |
| Išleidimo metai: | 2023 |
| Knygos puslapių skaičius: | 86 |
| ISBN-13: | 9798889950691 |
| Formatas: | 229 x 152 x 6 mm. Knyga minkštu viršeliu |
| Kalba: | Anglų |
Parašykite atsiliepimą apie „Analysis of structured and unstructured data using data science“
