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Types of Data
              Data comes in different forms that affect how we analyse and understand information. Knowing about these type of
              data: structured, semi-structured, and unstructured. Help us manage data better and find useful insights from a wide
              range of datasets.
                                                             Types
                                                            of Data








                                            Structured                        Unstructured
                                                                Semi-
                                                              structured



                 • Structured Data: This is like a neatly arranged table, with rows and columns that make it easy to understand and
                 work with. It includes information such as names, dates, addresses, and stock prices. Because of its organised nature,
                 it is straightforward to analyse and manipulate, making it a preferred format for many data-related tasks.
                 • Semi-structured Data: This falls somewhere between structured and unstructured data. While not as organised as
                 structured data, it is easier to handle than unstructured data. Semi-structured data uses metadata to identify certain
                 characteristics and organise data into fields, allowing some level of organisation and analysis. An example of semi-
                 structured data is an email. Emails contain structured elements such as the sender, recipient, timestamp, and subject
                 line, which follow a predictable format. However, the body of the email itself is unstructured, as it can contain free-
                 form text, images, and attachments.
                 • Unstructured Data: Unstructured data refers to information that lacks a predefined data model or is not organised
                 in  a  systematic  manner.  This  absence  of  specific  organisation  makes  it  more  challenging  to  analyse  compared
                 to  structured  data.  Examples  include  images,  text  documents,  customer  comments,  and  song  lyrics.  Extracting
                 meaningful insights from unstructured data requires specialised tools and techniques due to its varied formats and
                 lack of predefined structure.









                               Structured Data          Semi-structured Data          Unstructured Data
                            Often number or labels,     Loosely organised into      Text-heavy information
                             stored in a structured   categories using meta tags.   that's not organised in a
                          framework of columns and                                 clearly defined or model.
                            rows relating to pre-set
                                 parameters.

                          ID ID CODES IN DATABASES        EMAILS IN INBOX, SENT, DRAFT  MEDIA POSTS, EMAILS, ONLINE REVIEWS
                             NUMERICAL DATA GOOGLE SHEET  TWEETS ORGANISED BY HASHTAGS  VIDEOS, IMAGES
                             STAR RATINGS                 FOLDERS ORGANISED BY TOPIC  SPEECH SOUNDS







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