Contents
What do you look for in a data set?
The dataset should be rich enough to let you play with it, and see some common phenomena. In other words, it must have at least a few thousand rows (> 3.5 − 4K), and at least 20 − 25 columns. Of course, larger is welcome. The dataset should have a reasonable mix of both continuous and categorical variables.
How do you examine data sets?
6 Steps to Analyze a Dataset
- Clean Up Your Data.
- Identify the Right Questions.
- Break Down the Data Into Segments.
- Visualize the Data.
- Use the Data to Answer Your Questions.
- Supplement with Qualitative Data.
What is the first step when looking at a data?
STEP 1: Asking the right question(s) The first step towards any sort of data analysis is to ask the right question(s) from the given data. Identifying the objective of the analysis, it becomes easier to decide on the type(s) of data we will be needing to draw conclusions.
How do you solve a data set?
Summary: The range of a set of data is the difference between the highest and lowest values in the set. To find it, first order the data from least to greatest. Then subtract the smallest value from the largest value in the set.
How to ask a question data can answer?
You won’t be able to answer your question without it. Sometimes you can reword your question to get a more useful answer. The question “Is this data point A or B?” predicts the category (or name or label) of something. To answer it, we use a classification algorithm. The question “How much?” or “How many?” predicts an amount.
Which is the best way to prepare data for analysis?
For a small deployment, this could be as simple as a series of spreadsheets; for larger ones, you might be looking at multiple databases, Hadoop data lakes, cloud sources or a data warehouse ( read about the differences between databases, data marts, and data warehouses ).
Which is your favorite way to look at data?
Here are a few of the many ways to look at data. Which is your favorite? This is the currently selected item. Posted 3 years ago. Direct link to The Rogue Knight§’s post “What can Represent Data?” What can Represent Data? Reply to The Rogue Knight§’s post “What can Represent Data?” Comment on The Rogue Knight§’s post “What can Represent Data?”
What kind of questions to ask during data elicitation?
We’ve written before about questions to ask during requirements elicitation, but as a general guideline — any type of data analysis starts by becoming familiar with the business questions you’ll want to answer and the KPIs you intend to measure.