The problem with Tesla’s door handle can be represented by the 7 stages of action:
Goal: get the door handle to work
Plan: heat up the car to help unfreeze door handle
Specify: use car key to turn on car/heat it up
Perform: click button on car key
Perceive: nothing happened
Interpret: the heat from the inside didn’t help anything
The most important takeaway from the course in my opinion was learning SQL and Rstudio. I believe having an idea of how they work will come in handy when interviewing for jobs. I would explain to a future employer that I know how to SELECT, DELETE, ALTER, etc. statements in SQL as well as interpret information from Rstudio.
A Thanksgiving question that could be answered using clustering is: Which pies are most popular during Thanksgiving in each region of America besides pumpkin pie? The data collected would be the geographic location, demographics such as age and gender and units sold.
A decision tree could help to answer the question “should I buy this used car?”
The variables in this decision tree would include amount of mileage, year of car, make/model, price and what kind of condition it is in. The most important thing when choosing variables for a decision tree is to make sure they directly relate and are relevant to the…[Read more]
A business question that could be answered using a data cube is “what was the most popular flavor of coffee ordered in the past 2 years?”. The dimensions are flavor, year, and customer id. The measured fact would be number of quantity sold.
One example is military time vs. standard time. You can either say 3:00 pm or 15:00. We would have to create a column in excel that is able to convert one to the other.
I really like this example of data visualization. I like how the different home siding materials change in size by whatever percentage it is so you can really get an idea of the most popular and least popular materials in each year. Overall it’s a good setup…[Read more]
Brooke Blasiak commented on the post, Weekly Question #3: Complete by September 20, 2018, on the site Data Analytics – Fall 2018 5 months ago
You could use a join between a dentist and a patient to find out more information about an appointment such as exactly what time and date it was scheduled for.
Brooke Blasiak commented on the post, Weekly Question #2: Complete by September 13, 2018, on the site Data Analytics – Fall 2018 5 months, 1 week ago
The trickiest part for me when creating an ERD is figuring out if any relationships have attributes. I also sometimes get confused with deciding what the correct cardinality should be. I am sure with practice and time this will become easier.
I previously worked with Strother Enterprises as a digital marketing consultant. My team members and I used google analytics to track data and from there made suggestions via visual presentations to the company on how to better improve their website.