Questions tagged [data]
Questions mostly concerned with managing data, without focus on pre-processing or modelling.
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questions
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8 views
Google analytics custom dimensions into data studio
I'm looking at tracking custom dimensions that have been set up in google analytics within data studio.
I can find the custom dimensions that in analytics but I cannot find how to get them in data ...
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2answers
25 views
Could you help me with this problem and see if I can solve it with Data Science?
We Brazilians have Real (BRL) as currency, and we of course have the dollar quotation value to see "how many Reais a dollar is worth". I wanted to see whether the Country News have any ...
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0answers
28 views
Data science/Dataframe question concerning an approach to a problem
I want to answer which kind of school type (mixed gender, only for boys or only for girls) is more efficient in training its students based on the result of a normalized exam score. And my model ...
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0answers
18 views
Can dummy variables be used for latent profile analysis/latent class analysis in mclust or polCA package in R?
Can dummy variables be used for latent profile analysis/latent class analysis in mclust or polCA package in R?
2
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1answer
11 views
cbind doesn't attribute the name of the column
I'm trying to create a new data frame that contains the row names and the first column of an existing data :
i tried this
...
1
vote
1answer
20 views
Removing outliers from a multi-dimensional dataset & Data augmentation
Removing the outliers of a single-dimensional data can be easily done by removing the points that are outside of the IQR range. But how should the process of detecting and removing outliers be done if ...
0
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1answer
24 views
Deleting a Column in a csv or Excel file using Pandas
I am trying to delete a column from my csv file (column 'A' called "Film Number") but have tried numerous variations of code and while it deletes the column in the dataFrame it doesn't do so ...
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0answers
10 views
Web scraping ratings and review content of fast and furious 9 [closed]
I am trying to scrap Fast and Furious 9 reviews and rating on imdb but I am stuck on getting the rating
...
1
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0answers
21 views
How to handle insufficient information about the collected data in the dataset?
I am trying to create a ML model to predict foodborne diseases. I found online a few datasets with the informations I need. The problem is that none of them explains how they got the medical measures.
...
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0answers
28 views
What are some real world examples of a 2d data set where agglomerative methods work and K means doesnt? (for two real groups of data)
What is 2D dataset with two real groups of data where an agglomerative clustering method will be able to cluster the data correctly, and K-means will not?
I thought about a data set that would look ...
2
votes
1answer
28 views
Data Art/ Data Visualization Art/ Information Art
Few days ago, I learned about data art/ data visualization art/ information art. I think I have interest in it. I want to see how I can use my data science skills in this area. However, I don't know ...
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2answers
54 views
data preprocessing: missing labels
I have a classification task to predict {0,1} labels, but in my dataset I only have data with 1 labels. Class indicates that the buyer has made a purchase of some product.
Features: user id, product ...
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0answers
33 views
how to scrape images from facebook group
I want to scrape images from several Facebook groups some of them are public and some or not
I am new to web scraping but I tried to look for solutions with selenium or BeautifulSoup or scrappy but I ...
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0answers
19 views
Should I reshuffle the training set when benchmarking neural networks?
I'm trying to set up a fair benchmarking between various RNN models, where each of them is trained until convergence with a fixed random seed. Because the task is very costly, I am only able to run ...
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0answers
6 views
Can we consider Meta-features of a datasets as its embeddings?
While reading some works on meta-learning. I had this doubt.
Can we consider meta-features of a dataset as it's embedding ?
Given the meta-feature is a lower dimensional representation which also try ...
0
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0answers
22 views
How do I create a parameter for bining a Value for high's and low's [closed]
Create a new parameter 'kgl' for discretizing the 'kernel_groove_length' feature, which can take the values 'high' and 'low'
kernel_groove_length is the data of 3 different types of seeds which are ...
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0answers
20 views
How to Scrape Website Usage/User Data for a Website that Does Not Have an API [closed]
I am an aspiring Data Analyst and I was wondering how do I web scrape website usage/user data such as:
total people who visited that website,
total visitors per page,
how long did each visitor stay ...
2
votes
1answer
82 views
Loading medical imaging data from multiple folders
I have a fairly basic mathematical and implementational understanding of ML algorithms and CNNs, and I am trying to think of an approach for this task: https://www.kaggle.com/c/rsna-miccai-brain-tumor-...
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0answers
9 views
Can I select both MSc in Data Science and MSc in Artificial Intelligence programs at the same time while applying for Chevening Scholarship?
I know that Data Science is a subset of Artificial Intelligence. So, the two Masters programs are pretty similar, as both of them teach Machine Learning. However, Artificial Intelligence program ...
3
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0answers
21 views
What are descriptors
I am very new to data science, and r programming specifically. Could some explain what a descriptor in data science is? In particular, what are the differences between a 2d and 3d descriptor?
Thank ...
2
votes
1answer
41 views
How create a representative small subset from a huge dataset, for local development?
I have a time series problem and the dataset I'm using is rather huge. Around 100GB. For local development I'm trying to subset this into a very small batch around 50MB, just to make sure unit tests ...
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0answers
23 views
How to mathematically quantify the quality of a corpus?
I am working on a text classification project. I have around 60,000 text samples of 40intents. By calculating the frequency of ...
0
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1answer
19 views
ML for data processing. What are the options?
Currently I am working on improving a stage on a data processing pipeline. The source data has a large number of fields and is getting normalized into a simpler entity.
This entails that in many cases ...
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0answers
13 views
Best way to store large amounts of time series data? Relational database (SQL) or NoSQL route. Also additional python/pandas question inside
so I'm working on a project and I'm sort of stuck as to how to store my data. I have a concept I want to propose but am unsure whether it is possible, if it is not I would appreciate any help ...
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0answers
9 views
Find the formula for these data series to create model
Thank you for taking the time.
I'm working on creating a model my team can use to see the maximum number of miles that can be added to a delivery trip in a measured area based on the number of stops (...
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0answers
11 views
How to find the lag that shows highest correlation between two time series variables?
I have two variables in my time series data (X1,X2). I need to find the correlation between these two variables at different lags and identify the lag that shows the highest correlation. For e.g. I ...
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0answers
10 views
Is this set of vectors representing direction in a sequence trainable across LSTM? if not, what are the drawbacks?
I am starting my Neural Network Project for the first time, I have a lot of expectations:
The main idea is primarily analyzing the pattern of my writings or drawings when using the mouse given a ...
0
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0answers
5 views
How to model multinomail logistic regression to get desired outcome?
I want to run multinomial logistic regression in SPSS.
Dependent variable:
Code=0 Cognitively normal(CN)
Code=1 Mild cognitive normal(MCI)
Code=3 Alzheimer’s(AD)
Independent variable:
Genotype.1=0
...
1
vote
0answers
19 views
Multivariate regression - not enough data?
I have a table with data about 10 agriculture parcels. Each parcel has data in time regard the number of nutrients each parcel has received in each day and in the end I have the total number of ...
0
votes
1answer
13 views
Encoding when different number of records for each month-One hot or different type?
I am working on a dataset which is pretty small: 1169 records.
There is a column called month and it takes the values 'Jan','Feb', or 'March'.
The number of records for each month is different. I have ...
0
votes
1answer
39 views
Preprocessing , EDA , and Feature Engineering
What is the difference between EDA, Feature Engineering, and Preprocessing?
The main purpose is to make the raw data suitable for modeling. In EDA, we are cleaning the data and so does the ...
0
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0answers
12 views
Can you POST to a rest API from databricks?
I am looking to post a JSON file to a rest api via databricks. I am having trouble trying to figure out how to do this.
0
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1answer
23 views
Creating a complex featureset for regression modeling
I am currently working a on project that requires me to convert all of the categorical variables to continuous (or binary) variables to build a regression model. The problem is that I have more than ...
0
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1answer
22 views
Machine Learning A-Z: Help connecting with datasets
I'm in Machine Learning A-Z lecture 19 where we access our first dataset. I've connected to the Google Colab folder in my gmail account, but when I try to access the the file I get the below error ...
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0answers
20 views
How to generate a positive skewed array?
As the title suggests, I would like to specify the task that I really need help with:
Given three possible distributions of an array:
I know that given a skewed dataset (the left and the right), then ...
1
vote
0answers
13 views
UI-based Tool for Qualitative Evaluation of Data Quality
Dear DS StackExchange community,
I'm currently searching the interwebs for a (near-)ready-to-use solution, to perform a qualitative evaluation of extracted features from video data. In my head the ...
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0answers
19 views
What analytics model/classifier should be used to predict price?
I've go dataset with more than 10 features - football skills describing players. There is also price value in each row.
I would like to predict price by specifying ...
0
votes
1answer
30 views
How to interpret 3 outputs of Precision?
Say im running a classification Machine learning algorithm,
of 2 classes 0 & 1.
A 0 label is detecting a visitor/row did not Convert. while 1 label is detecting a visitor/row did Convert.
When the ...
0
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0answers
99 views
Why am I getting a different answer in Principal Component Analysis dimensional reduction?
Problem-: Consider the two dimensional patterns (2, 1), (3, 5), (4, 3), (5, 6), (6, 7), (7, 8).
Compute the principal component using PCA Algorithm.
Use PCA Algorithm to transform the pattern (2, 1) ...
1
vote
2answers
22 views
What are some examples of ordered data?
Tan,Steinbech,Kumar's book says
For some types of data, attributes have relationships that involve order in time or space.
I want some real life examples of such data, can you provide me. I couldn't ...
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0answers
7 views
How to clean/analyze relative time series data
I'm relatively new to data science, and I decided to stretch a bit and try a project with time series data. I downloaded the Human Activity Recognition from Continuous Ambient Sensor Data Data Set, ...
0
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0answers
12 views
Dictionary of life sciences or medical terminologies
I'm exploring available open-source dictionaries with medical terminologies. I found this but it's limited. Currently focusing on how to make use of NIH. However, the challenge is that I'm running ...
1
vote
0answers
14 views
Clustering dataset with and without estimating means (no EM algorithm)
Given a dataset $D$ of the form
$$
D = \{ (x_0,y_0), (x_1,y_1),\ldots,(x_{n},y_n)
$$
sampled from a Gaussian mixture model with identity covariance matrices, I want to understand what are my options ...
0
votes
1answer
13 views
How do you normalise the train+validation sets together?
This question is somewhat related to: Is it correct to join training and validation set before inferring on test-set?
As far as I understand, normalisation in general is done in the following way:
...
0
votes
1answer
54 views
Is it a good idea to use parallel coordinates for visualising outliers? [closed]
I tried using parallel coordinates to visualize outliers. Is it fundamentally correct?
0
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0answers
25 views
Training data for image digit recognition
I am creating a digit image recognition algorithm. For this I would like to collect sample data to train the model. Does python have any inbuilt libraries for this? Where could I get good training ...
0
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0answers
11 views
Most Hot Freelance Data Science Project Niches
I almost finish my final year in my information system major for computer science's bachelor degree, i also take big data and machine learning as my specialization. And then while i finding and apply ...
0
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2answers
32 views
Assign value of existing column to new columns in pandas based on conditions [closed]
I am trying to create a new column in pandas data frame based on existing columns.
column1
column2
column3
y1
y2
y3
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23 views
How to do exploratory data analysis on a database
In all courses, the focus is mainly on building models from an already clean dataset that is in a csv file.
If I have a database, Postgres, with a table that has ~10 million rows, what is the best way ...
0
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3answers
329 views
Convert .data file to .csv
I'm using a data called 'adults.data', I need to work with that data as a '.csv' file. Can anyone guide me on how can I change the format?
I tried opening the file in excel and then save it as csv, ...
