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Code&Data Insights
: we try to identify which nodes seems more Optimistic, and explore these first - With heuristics (useful rules or empirical knowledge) or additional information is used to find the most efficient path. - A way to visit the most promising nodes first [ Heuristic ] - A technique improves the efficiency of search - Focus on nodes that seem most optimistic acc..
: all nodes are equally optimistic, so we explore them systematically => Simple search method, without heuristics or information, explores all possible paths. · Data Structure - Open List(=frontier) - Closed List(=explored set) · Generic Search Algorithm 1) Initialize OPEN with the initial node n0 and its parent 2) Initialize CLOSED to empty 3) Repeat A) If OPEN is empty, t..
: Finding a solution from initial state to a goal state [ State Space ] · Problem is represented by 1) Initial State - Starting state 2) Set of Operators - Actions for transition between states 3) Goal test function - determine if it is matched with a goal state 4) Calculate Path cost function - Assigns a cost to a path if a path is best among others · State space ..
[ Cohort Analysis ] Cohort analysis breaks the data in a data set into related groups before analysis. - a kind of behavior analytics - a group of subjects which share a defining feature and observing the behaviour of the group(cohort) over time and compare it to other cohorts. * Main Stages for Cohort Analysis 1) Determine what question you want to answer to improve business, product, user expe..
[ Connecting to & Preparing Data ] Q. How to reduce the size of an extract ? A1) Aggregate the data to visible dimension A2) Hide All Unsued field => When we create an extract, we get many size options We can choose only include a sample of the data, Or aggregate to visible dimensions Or use extract filters Or choose the physical table option instead of logical table Q. The best reason to use a ..
Domain 4: Understanding Tableau Concepts 4.1 Understand dimensions and measures 1) Explain what kind of information dimensions usually contain - it contains qualitative values (such as names, dates, or geographical data). You can use dimensions to categorize, segment, and reveal the details in your data. - Dimensions affect the level of detail in the view. => level of detail in a view : how gran..
[ Domain 3: Sharing Insights ] 3.1 Format view for presentation 1) Use color from the marks card - To assign a color to marks in the view, => From the data pane, drag a field to Color on the Marks card - if you drop a discrete field (a blue field), such as Category, on Color, the marks in the view are broken out by category, and each category is assigned a color - If you drop a continuous field,..
[ Domain 2: Exploring & Analyzing Data ] 2.1 Create basic charts 1) Create a bar chart bar 차트의 종류 - horizontal / stacked / side-by-side bars headers : Sub-Catergory sales : axis A stacked bar - by adding a second dimension('segment') to view creates a stacked bar A side-by-side bar 2) Create a line chart ** Line charts always involve a date dimension. line chart의 종류 - discrete / continuous lines..