Questions tagged [data]

Questions mostly concerned with managing data, without focus on pre-processing or modelling.

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9 views

SEM (Structural Equation Modelling) with Exploratory Factor Analysis

Problem Statement: I need to do some Structural Equation Modelling at work to get the main factors in a marketing survey data-set. There are no assumed equations to perform SEM on so what would be ...
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1answer
52 views

Machine learning methods for panel (longitudinal) data

I have a panel data set, for example: ...
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1answer
23 views

How can I extract the reason of the legal compensation from a court report?

I'm working on a project (court-related). At a certain point, I have to extract the reason of the legal compensation. For instance, let's take these sentences (from a court report) Order mister X to ...
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1answer
18 views

How do I best visualize this voltage data for a science project

I'm helping my son with his 7th grade science project. We've had a good deal of fun with our experiments with Solar Arrays and charging 12 volt UPS batteries! But, I am not sure how to interpret the ...
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26 views

Dataset for musical Instruments recognition

I am looking for a "rich" Dataset to Teach my model to seperate Music intruments .. any Suggestion ? I found the URMP Dataset but it doesn't have many files.. I appreciate your help thanks and happy ...
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2answers
26 views

Should I use MongoDB instead of storing data in CSV in python?

I am currently storing data crawled from multiple websites having same but still different structure so every crawler is saving data in separate csv. I am planning to store the data using MongoDB ...
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22 views

Data Visualization of Feature Distribution Plot

I have been trying my best to plot this type of feature distribution plot using Python. I looked for what they are called to replicate the plot, but couldn't find the name of it? The Reference of ...
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0answers
8 views

ValueError while Comparing with Multilevel Index

My dataframe - ncg_vol contains Multilevel index - 'Year' and 'Month' and single column 'std'. I used .apply() on std column to perform operation based on the number of days in that year. I used the ...
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9 views

access to the didi ditech2016 dataset

a bit off-topic, but I'm trying to locate a famous dataset used in the DiDi DiTech2016 supply-demand challenge. All sources I found point to a single url: http://research.xiaojukeji.com/competition/...
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1answer
33 views

What's the best way to train a NER model?

I am trying to do a project using NLP. My goal is to process Cyber Threat Intelligence articles like this to extract information such as actor’s name, malwares and tools used… To do that I want to ...
2
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1answer
17 views

Are parquet files compressed? [closed]

Parquet File Format Hadoop. Parquet, an open-source file format for Hadoop. Parquet stores nested data structures in a flat columnar format. Compared to a traditional approach where data is stored in ...
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15 views

PointCloud value prediction - regression

I have point clouds for 400 objects. I have also some other features of these objects. For example their weights. How I can now train model to predict the weight based on the shape(point cloud)? I ...
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1answer
20 views

how to know what my data are uninformative and that machine learning will not work with it?

following this question, I'm making a data analysis again because I tried to use machine learning algorithms like Random forest to predict a value from certain features but it didn't work for me. I ...
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1answer
18 views

should I shift a dataset to use it for Time series regression with RNN/LSTM?

I'm seeing this tutorial to know how to use LSTM to predict time series data and I noticed that he shifted the target/labels up so that the features are all in time t but the target is t+1 so my ...
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2answers
77 views

in which case can I say that the data are bad and I ll achieve nothing using machine learning on it

general Infos about my dataset: I have 40k data points and 5 features. I'm doing regression and trying to build a model that can predict the error of a GPS. for example imagine that your vehicle GPS ...
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0answers
12 views

How to extract data from 3d model to a data table that is easy to read for machine learning algorithm?

I want to do something similar to Point Cloud. What I am NOT trying to do is to recognize objects or reconstruct them. I have a 3d file and I want to somehow read the data to use it in machine ...
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12 views

Is syslog/sysmon data considered 'raw data'

I apologize if this is considered a topic of 'discussion,' but I would hope it can be proven factually. Is sysmon data considered raw data? I understand that the data is formatted on output, but in my ...
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12 views

football score data, goal events

I am looking for event level football/soccer data. I want to know when a goal happened (minute) - other events are not important. Do you know where I can get this data. Preferably without much ...
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1answer
23 views

Help getting corresponding dataframe values

I have two dataframes: ...
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0answers
10 views

Rank impact of individual metrics on overall sales performance

I’m interested in learning about different methods to analyse sales data - at both store level and corporate. Essentially I have lots of performance metrics (~20) that break down the overall sales ...
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2answers
21 views

Unsupervised encoding of categorical features

I have multiple log records with discrete categorical features. Shape of my dataset is (100k, 24) My aim is to look for anomalies in these records. I am planning to cluster the data after encoding. ...
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11 views
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15 views

How can I compare continuous and non-binary categorical data in Excel?

I'm trying to find the correlation between vehicle days on lot vs different categorical variables (color, make, model, etc). I know it's possible with binary data, but I haven't found a simple way to ...
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2answers
24 views

How to apply data binning on reviews data? [closed]

I need to apply data binning on a set of reviews, I have searched for some data binning methods for reviews and long-texts and couldn't find anything other than classification. Is NLP or ...
2
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1answer
22 views

Generating random numbers from best probability distributions?

I have done some statistical distributions on real-world data. The distribution fitting gives me the below results (lognormal fits the best on data based on chi-squared test): ...
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2answers
26 views

Cross validation vs leave one out

I have found the following definitions, but I don't really see the difference. cross validation Method for testing classification and prediction models. The data are randomly split into N partitions (...
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0answers
31 views

How to avoid bias when optimizing time-series model?

I have 4000 days of data. I am trying create a time-series model with parameters P to forecast the value of the target Y using the last N days of data. The parameters P include: lookback window for ...
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3answers
52 views

How to handle “year” variable for Machine Learning models

I have a "year" variable but I don't know which is the best way to handle it for a ML model, as it is a numerical variable, giving some sequence. Should I treat it as a categorical variable? Thanks ...
2
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1answer
31 views

Extract data from PDFs

I would like to do an experiment. I would like to get the following data: advisor education rank (Ing., Bc. etc), number of pages in the thesis, number of citations etc for each student about thesis ...
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17 views

Anonymizing the CSV data using Python Faker

To protect the sensitive customer data, I came across a useful python project faker. However, this project only generates the fake values after random iterations. Is it possible to anonymize the ...
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0answers
15 views

Difference between Big Data and a Data Warehouse?

I would like to know what is the exact difference between Big Data and a Data Warehouse. I know that Big Data is the technology to receive and work with really large amounts of data and a data ...
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1answer
27 views

Stata: Trying to merge two data sets with common year observations

I am currently trying to merge two datasets with a common "year" variable using Stata. One dataset is purely for incorporating CPI with an associated year, and so the only variables are "year" and "...
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2answers
42 views

Clearest way to visualise temporal data?

I've collected bus arrival times at my local bus stop from the past month - so I have every time my bus (a specific bus number) shows up at my bus stop for each day of the week (Monday, Tuesday, etc.)....
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21 views

Transforming Data for Classification

I have a dataset of the type: Time_from_anchor is the time from when the diagnosis was made, if he had cancer. i.e patient 1 was diagnosed with cancer at 0. He had tests x and y at time -1 and tests ...
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12 views

Space and time fourier transform of data

I have discrete data for function $H(x,y,t)$ in the interval $0<x<x_0$, $0<y<y_0$ and $0<t<t_0$. I'm wondering if there is a way to find the function in Fourier space $H_f(q_x,q_y,w)$...
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1answer
20 views

Free API for historical weather US data?

I am trying to retrieve a free R-Python API that provides historical weather data in US. In fact wunderground API is no longer available. Any suggestion?
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1answer
49 views

Analysis of sales performance

This is my first question on this stackexchange - i hope i'm in the right place and i'm asking the right question. I work for a business, we sell certain products. We are running a trial currently on ...
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0answers
15 views

Free historical news data base?

I spent some time looking for news databases and APIs. I can find a lot of paid ones. The data google provides when searching for news is perfect for what I am after (something with a deep history, ...
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0answers
32 views

How to sort of “average” data without smoothing?

I'm trying to figure out a method to perform some kind of average on my data, without smoothing the data. In my case, my data is a waveform, which means amplitude as a function of time. The problem ...
2
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1answer
43 views

When is it necessary to use StandardScaler/MinMaxScaler on y_train and y_test?

I have been through various kernels where scaling is done on y_train and y_test and many where there isn't. Is there any specific rule which should be followed when to or when not to do this?
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1answer
199 views

pd.qcut bins error!

Hi Data Science community! I'm working on some RFM analysis, but while setting up the bins, I'm getting an error. Here's my code and below the exact error. ...
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1answer
18 views

Is there a way to aggregate frequency distribution for many runs?

In the following plot I have frequency distribution for each of the fitness values that are shown in thte legend. Each run (x-axis) has a different frequency of each fitness value. The total runs is ...
1
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1answer
19 views

Best file format for transfer of EHR data

I am working on a clinical trial where we have several sites sending us EHR data. The sites are currently sending the data in excel files. I have a feeling someone's opening the files because 3 of ...
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0answers
73 views

Connecting to IEX with Pandas Datareader

My Problem is regarding Algorythmic trading. I hope this is the right site for this kind of Question. In specific I try to connect to the "iex" API via the pandas Data reader to retrieve some ...
6
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2answers
306 views

Data anonymization in Python

I am working on an industrial project which consists of real data. Now, the data contains sensitive information about company operations which could not be disclosed publically. As a result, I need to ...
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2answers
65 views

Oversampling/Undersampling only train set only or both train and validation set

I am working on a dataset with class imbalance problem. Now, I know one needs to oversample or undersample only the train set and not the test set. But my issue is: whether to oversample the train set ...
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0answers
10 views

Most reliable source for Literacy data

I'm searching for the most reliable source for granular American literacy population data. I am conducting an analysis, reporting, and data visualization of American literacy. To do this, I am ...
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0answers
17 views

How can I measure data anonymity when present summary statistics

I am looking to present users with aggregate statistics of a highly sensitive underlying dataset. See example data below: ...
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0answers
9 views

Reflections about types of bias in comparative analysis

I am working on an analysis on proposal rejections across two different periods in time and I was wondering what reflections I would have to make about the risk of bias. The reason for this is ...
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2answers
146 views

Class Imbalance and Cost-Sensitive Learning XGBoost

I'm fairly new to data science and machine learning and have been trying to read a bit more on methods like boosting for one of the projects I am working on. The investigator on this project is ...