Data analysis is a process of inspecting, cleansing, transforming, and modeling data with the goal of discovering useful information, informing conclusions, and supporting decision-making.
Questions tagged [data-analysis]
288 questions
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How can data science teams inside businesses measure costs and efficiency of their technical work?
How can data science teams measure and improve costs of their technical work, when they often don't know the monetary value of the datasets and insights they are producing? Are they using industry based benchmarks for technical development, and some…
Guest
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Can you apply technical analysis indicators to general data?
I collect data, for example, "how many people mentioned 'Bitcoin' on an investing community", I take the data for daily, so it's like "5/1,231;5/2,156;5/3,223" and so on. So basically not relevant to financial market price actions, but just a type…
ー PupSoZeyDe ー
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Data analytics in road transportation
What kind of insights can we give from point A to point B transactions. A and B are two places, All I can think of is about descriptive statistics like how many transactions from A and what is count of transactions between places and all.
Pardhu
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Most popular location
This feels really simple, but looking for some guidance to find the most popular location for orders.
I have three locations: Location A, Location B, and Location C.
Location A had 43 orders out of a population size of 239,762.
Location B had 11…
David Ingledow
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Help deciding the best statistic tool for my data
I'm not from the data science area, and I need to perform some statistical analysis on my data, but I don't know which analytical tools I should use.
Number of variables - 6
Independent Variables 3 - (one is scalar (e.g., 2,4,6,8,10) and the other…
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How to asses employees performance using their data?
I have some employees' data consisting of three variables - the name of the employee, a value denoting their positive behavior and a value denoting their negative behavior.
How to score employees using this data with a 70% weight on negative…
Neoman Nasir
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Using boxplots of previous day’s percentage change in S&P index to predict today's return based on yesterday's movement
In the book "An Introduction to Statistical Learning with Applications in Python, Trevor Hastie et al., Springer", there's the following paragraph:
The left-hand panel of Figure 1.2 displays two boxplots of the previous day’s percentage changes in…
Tran Khanh
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How do I answer this metric question with the data I have?
I want to see what is contributing to the increase in appointments being made by patients. I have two datasets I'm analyzing and I'm not sure if I can use one column to compare with another column. This is a (simplified) example of my…
Emily
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Which analytics metrics are useful?
I am working on a home project and the question is :
A session is defined as a period of activity in the app. If there is a period longer than 5 minutes when the user does not do anything actively the session ends. The session time is the time…
alan watt
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Do you do EDA before or after model building?
I can see this going either way, but it seems most of the time, it's done before model building.
EDA, from my understanding, is intended to provide some insights, that can helpfully assist with model building.
I can also understand doing it after…
anonuser01
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Find subsets of data that are related in a large, sparse dataset
I have a dataset with a big number of features (it is coming from a document-oriented database). 80% of the features are 80% empty and filled in only in specific conditions. Let me give an example with an animals dataset :
Number_of_paws is filled…
Rusoiba
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