Kristiadi Uisan
Prior to joining the Data School, Kris was studying Bachelor of Chemical and Biomolecular Engineering, followed by Master of Commerce specializing in Business Analytics and Finance. In addition, Kris used to be a research assistant at educational institutions in Hong Kong.
When Kris started studying Business Analytics, he developed an interest in data analysis and programming, especially after learning about how data understanding can help decision making and the career prospects of being an expert in the field. Hence, he joins Data School to level up his data analysis skills from rookie to expert, as well as to integrate his skills and knowledge into the real world of data analytics consultant.
During his free time, Kris likes to go swimming, sketching, cooking, exploring different cuisines and listening to classical music. In fact, he prefers listening to classical music compared to pop music. His favorite food is lobster roll.
Alteryx Spatial Tools: Find Nearest vs Spatial Match
As usage of spatial tools in Alteryx is uncommon, people often got confused on the tools that they need to use when facing spatial datasets. Based on personal experience, I used to get mixed up about when to use Find Nearest and Spatial Match tools. Therefore, this...
Alteryx Macros: Replacing workflow redundancies
This post is a follow up from the following link: https://www.thedataschool.com.au/kristiadi-uisan/dashboard-week-day-1-web-scraping-and-visualising-melbourne-cup-data/ Figure 2-1 to 2-3 in the above post contain similar RegEx tools which may seem repetitive to be...
Dashboard Week Day 5: Exploring Australian Charity and Their Activities
On day 5 of dashboard week, the assignment is to create a visualisation and storytelling based on dataset from Australian charity which can be obtained from the following link:...
Dashboard Week Day 4: Visualising data from Zoology database
On the fourth day of dashboard week, the task is to create a dashboard based on zoology collections from Oxford University Museum of Natural History which had been web-scrapped from the following link http://www.oum.ox.ac.uk/database/zoology/extinct.htm Data...
Dashboard Week Day 3: Storytelling with Punk API Beer Data
On the third day of dashboard week, the task is to create a dashboard based on Punk API data which can be found from Punk API - Documentation link. Data Understanding While there are columns and rows for all 324 listed beers, most data in the columns are supposed to...
Dashboard Week Day 2: Visualising Data from London Fire Brigade
In Dashboard Week Day 2, the challenge is to visualise dataset from London Fire Brigade. The dataset comes from https://data.london.gov.uk/dataset. In this challenge, the main activities include data understanding and creating dashboard. Data Understanding Generally,...
Dashboard Week Day 1: Web Scraping and Visualising Melbourne Cup Data
Halloween Day of 2022 marks the start of Dashboard Week for DSAU16. For the start of dashboard week, the goal is to prepare data and create visualisation from Melbourne Cup data. Data Understanding Since the provided data came from different year, there were different...
Power BI Time Intelligence and Drilldown: Tools to Evaluate Time-based Pattern
In evaluating stock and cryptocurrency market price changes, trends from different time periods may be needed to help traders in making decision. This blog will present the method to create a visualisation of changes in monthly stock price trends based on the...
Using Actions to Create an Interactive Dashboard
In one of Data School project, a Tableau dashboard was created to create insights about the required budget for future periods. The budget was also projected for building(s) and component(s) for future budget allocations. The resulting dashboard visualisation can be...
Using Tableau Prep Tools to Prepare Data for Annual Projection
In determining budget for future period(s), companies tend to use various data modelling methods that create relationship between the predictor(s) and response(s). Generally, spreadsheets or programming languages are used to determine the projected response(s). In one...