Project Cycle- Data EXploration Flashcards
list the significance of data exploration stage
-gain better understanding and new insights of data
-identify the trends, relationships and patterns present in the data.
- decide the course of action to take in the AI project cycle
.-allow us to visually represent the data
- helps in validating or verification of the collected data
what is the importance of data visualisation
-Quickly get a sense of the trends, relationships and patterns contained within the data.
• Define strategy for which model to use at a later stage.
• Communicate the same to others effectively. To visualise data, we can use various types of visual representations
define data exploration
data exploration is the process of exploring data and putting it in an uniform manner for beter understanding. It helps us understand patterns in big data using various techniques like data visualisation.
define data visualisation
data visualisation is a technique used to represent data more meaninfully through the use of charts, graphs, diagrams and processes.
define big data
The term “big data” refers to data that is so large, fast or complex that it’s difficult or impossible to process using traditional methods.
list some data visualisation techniques
-bar graph
-histogram
-diagram
-tree-dagram
-piw charts
-line graphs
define statistical figures
statistical figures refer to the various componentsthat can be used to give a brief overview of the statistics of the data.
such as average,maximum,minimum out of a set of data
define text normalisation
text normalisation is a process by which the randomness of the data is reduced and and alter it into a lower level through identification of keywords.
name and explain parameters of data
-vaolume- size of data
-velocity- speed at whcih data accumulates
-variety-structured/unstructured or semistructured data
-veracity-accuracy /trustworthiness of data’
-value-renumeration of data
