These are notes before 27/9, scrapped from Mr.Chun's Doceri document. (thanks :p) It is [known] that there are missing parts, so don't over rely on this.
There are many types of data.
- Photo / Images
- Texts / Documents (Microsoft Word)
- Audio / Voice / Sound
- Video (Note: Photo + Audio = Video)
Classified into Text and Numbers.
- Text is made up of different characterizations.
- Different characterizations for different words, ASCII / Unicode for English and BIG5 For Chinese.
- All these (ASCII, BIG5, etc.) are all just Hexadecimal numbers, and the computer knows how to read them into human-readable text.
- For example, 秦 is
3210in BIG5.- GB Code (GuoBiao Index, GB2312) is a index database used for simplified Chinese characters.
- Big5 is a index database for traditional Chinese characters.
- Unicode is mainly English. It has Chinese characters tho (in total, 74605 CJK Characters).
255 and 127 are commonly seen numbers.
255 = (2^8) - 1
127 = (2^7) - 1
- System analyist (analyzes stuff)
- Programmer (writes programs to make life easier)
- Technicians (the ones that monitor the system while it's running, extremely low salary.)
- Network Manager / System Administrator
- Data Entry Operator (inputs all the data into PC.)
- Word processing applications (Microsoft Word)
- Spreadsheets (Microsoft Excel, Google sheets)
- Presentation Software (Powerpoint, Prezi)
- Database Software (Microsoft Access)
- Communication Software (WhatsApp, Telegram)
- Multimedia Production (Photoshop, Movie Maker)
- Increases work efficiency / productivity
- Bettter communications of data
- Better data management
- Data Application (Produce data)
- Data storage (Store the created data, on hard disk, USB flash drive, Network drive, etc.)
- Data exchange (Communication. Can be exchanged via methods mentioned in data storage.)
- Data Management
- Data validation (to check if all data is valid / clean / meaningful and not bogus)
- Data verification (to check if copies of the data is as good as the original)
- Data organization (to organize existing data to make them more usable)
- Data preperation (process of cleaning and transfering raw data)
- Data collection (process of gathering and measuring information on variables of interest. data preparation is active but data collection is passive. Further citation needed.)