Hello I am currently working on a university project and need the historical price data for graphics cards from Jan 1st 2019 to Mar 1st 2024. I am wanting to compare the prices of Nvidia and AMD cards over those years. I am looking for day to day data to look at price increases between specific cards. Does anyone know where I can find such datasets or can point me in the right direction? I have wanted to avoid web scraping up to this point, but won’t dismiss the idea if it comes to it. Thank you!

If I have 10,000 records of fields like CashAdvance, Interest Rate, Credit Score and Loan Term and if the loan was default or nor not (boolean 1,0). How do I find all permutation and combination of different ranges of these attributes where the loan was <10% default rate? So like,Bin1 – Credit score 652-673, AdvAmt 23-27K, Interest rate 12-15% and term months 3-7 had 8% defaulted loans. Bin 2 Credit score 625-632, AdvAmt 32-42K, Interest rate 2-5% and term months 6-9 had 5% default loans. Bin 3 Credit score 682-693, AdvAmt 13-17K, Interest rate 2-4% and term months 1-2 had 4% default loans Bin 4 Credit score 692-721, AdvAmt 74-95K, Interest rate 15-17% and term months 8-10 had 9% default loans so on and so forth? My question is how do I find these ranges for all the above mentioned attributes without manually creating where the default rate is low?

Hello,

I do not care for the domain of the dataset, I just need it to include demographics, user behavior (in whatever form) and user opinions in regards to some product or service.

Specifically, I’m hoping that one or more of these columns will have text entries. The demographic should cover numerical and categorical.

Thank you!

I can’t get to visualize correctly the dataset, i’ve tried to convert the matlab script into a python script but this is the result:

https://drive.google.com/file/d/1kzA7mNC4th8nbJh4iGoaZJB_xV4HO7r_/view?usp=sharing

and this is the adapted script:

import numpy as np

import os import matplotlib.pyplot as plt

def load_tiny_images(ndx, filename=None): if filename is None: filename = ‘Z:/Tiny_Images_Dataset/data/tiny_images.bin’ # filename = ‘C:/atb/Databases/Tiny Images/tiny_images.bin’

sx = 32 #side size Nimages = len(ndx) nbytes_per_image = sx * sx * 3 img = np.zeros((sx * sx * 3, Nimages), dtype=np.uint8) pointer = (np.array(ndx) – 1) * nbytes_per_image # read data with open(filename, ‘rb’) as f: for i in range(Nimages): f.seek(pointer[i]) # moves the pointer to the beginning of the image img[:, i] = np.frombuffer(f.read(nbytes_per_image), dtype=np.uint8) img = img.reshape((sx, sx, 3, Nimages)) return img

def show_images(images): N = images.shape[3] fig, axes = plt.subplots(1, N, figsize=(N, 1)) if N == 1: axes = [axes] for i, ax in enumerate(axes): ax.imshow(images[:, :, :, i]) ax.axis(‘off’) plt.show()

load the first 10/79302017 imgs

img = load_tiny_images(list(range(1, 11)))

show_images(img)

What am i missing? is anyone able to correctly open it with python?

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just for completeness, this is the original matlab code (i’m a total zero in matlab):

​

function img = loadTinyImages(ndx, filename)

% % Random access into the file of tiny images. % % It goes faster if ndx is a sorted list % % Input: % ndx = vector of indices % filename = full path and filename % Output: % img = tiny images [32x32x3xlength(ndx)]

if nargin == 1 filename = ‘Z:Tiny_Images_Datasetdatatiny_images.bin’; % filename = ‘C:atbDatabasesTiny Imagestiny_images.bin’; end

% Images sx = 32; Nimages = length(ndx); nbytesPerImage = sxsx3; img = zeros([sxsx3 Nimages], ‘uint8’);

% Pointer pointer = (ndx-1)*nbytesPerImage; offset = pointer; offset(2:end) = offset(2:end)-offset(1:end-1)-nbytesPerImage;

% Read data [fid, message] = fopen(filename, ‘r’); if fid == -1 error(message); end frewind(fid) for i = 1:Nimages fseek(fid, offset(i), ‘cof’); tmp = fread(fid, nbytesPerImage, ‘uint8’); img(:,i) = tmp; end fclose(fid);

img = reshape(img, [sx sx 3 Nimages]);

% load in first 10 images from 79,302,017 images img = loadTinyImages([1:10]);

useless to say: in matlab nothing is working, it gives me some path error i have no idea how to resolve and it shows no image etc, i can’t learn matlab now so i’d like to read this huge bin file with python, am i that fool?

​

Thanks a lot in advance for any help and sorry about my english

Struggling to find anything dating back to earlier than 2000, so wondering if anyone knew of any publicly available dataset that might be able to help.

Hello everyone.

I want to do my master thesis about different ethnicities and their score on the pisa test. In the spss data set file from 2022 i can’t seem to find the results to the test, which makes doing regression analysis a bit hard. Does anybody know were i can find it?

​

For a uni assignment, the aim is to build a credit scoring model using alternative data (can be combined with traditional data). I’ve been looking for so long but can’t find an appropriate dataset. And there are so many paywalls!

I’m a CS student aiming to use health information for ML purpose. I’ve found Mimic containing the information I want, I wonder if there are any other data sets contain the information. Like (blood pressure with dosage/prescription), I only need information about health information like blood pressure, weight or other parameters and prescription about medicine and dosage. No personal identification information is needed
Much Appreciated!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!

I need to write a paper for school, thanks!

https://docs.google.com/spreadsheets/d/1ePvkVHbBDTjrnJYXBOFbk8wmM4qsrDbtKRBJWJg1BnE/edit

I made an overview of relevant datasets for training AI Agents in Finance contrasting

Sentiment Analysis

Phrasebank FiQA Sentiment Analysis TweetFinSent

Named Entity Recognition

NER FIN REFinD

Quantitative Reasoning

FinQA ConvFinQA

Links are all original source.

Read my write-up here (Encyclopedia Autonomica)

Question to the community: Are there datasets that I am missing, but should know about?

I am a college student looking to do a project on point shaving in college baseball and I am looking for any historic data on point spreads, preferably going back to at least 2015. I have been able to get all the scores for this period, but I am struggling to find any historic betting odds. If anyone has any advice, please let me know and I appreciate any help.

I’m a big movie person and my local theaters usually put out a schedule for the month. I’d like to compile this schedule and build some aggregator newsletter tickered towards my interests.

I’m seeking sources for information on a movie’s reviews, ratings, and descriptions. Letterboxd is def a source I want to use but it seems their API is not public. The only way is through a scrape? Which isn’t that bad. Has anyone seen some potential sources to use for a project similar to this?

Hi there, I work for a large national non-profit as a data analyst for our fundraising campaign. I’ve been asked to provide a “dream budget” for licensing third-party data. B2B is the main focus, but understanding consumer behaviors with a place-based focus is very useful as well. Wealth, income, employment, philanthropic giving, Executive networks are all of interest. I’ve always wanted full access to things like Experian and Dunn and Bradstreet, but are there other sets, lists, databases that I should consider?

I aane start my financial ML project and I’m thinking of doing a Loan prediction thing, so If anyone knows any sources would be awesome.

I’m currently trying to compile a database of the foodstuff restaurants offer, with my main focus being Melbourne – something of the form [restaurant, location, menuObject], where menuObject is an object containing the items on the menu. I have identified restaurants and extracted metadata using the Google Maps API.

Any ideas for compiling the menu part? I do need fairly good coverage for my study.

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I found a YouGov survey that examines this type of data however I cannot find any data on this topic that contains raw observations. Does anyone have any resources for this?

Here’s the YouGov survey: https://docs.cdn.yougov.com/l2y64i4kf5/Subtitles_and_TV_poll_results.pdf

​

a

For example, the project title could be something like “Do Happy Employees Improve Corporate Performance?” or “The Effect of Gun Control Laws on Crime”.

Does anyone have any idea where to download the REDD Dataset from? I tried going to the site http://redd.csail.mit.edu but it’s not working anymore. If you can provide me this dataset for my research, then it would be a big help. Thankyou!

Hey everyone!

Our organization is gearing up to create some awesome business intelligence solutions tailored specifically for Amazon sellers. We’re currently in the process of putting together a demo architecture, complete with a database and dashboard.

I’ve been assigned the task of sourcing a dataset containing information on Amazon sellers, with a primary focus on orders, returns, and product reviews.

I’ve already taken a look on Kaggle, but unfortunately, I’ve only managed to find datasets related to reviews.

Does anyone happen to have a sample dataset they could share, or perhaps some ideas on where else I might be able to find the data I need? Any help would be greatly appreciated!

I’m a senior stats major and am so utterly burnt out but my professor wants us to find an interesting dataset that we can apply GLM which I just can’t fathom doing. If anyone knows an easy dataset that would work you would be a lifesaver:) Extra brownie points if it’s music related because I might actually have some fun working with it lol

Hello, I am writing a thesis (I am a student at CEMFI, Madrid.)

I have 2 projects to do:

Project 1: Use text data and do something fancy, I would like to study the tradeoff between data privacy and utility but I did not find any useful datasets.

Project 2:
I am writing a macroeconomic model about the optimal transitional dynamics towards more sustainable energy production. I am looking for a dataset with granular data where I could exploit some variation over the years in some interesting measures in order to calibrate my model.

I’d greatly appreciate any leads or suggestions on where to find relevant datasets for these projects. Thank you!

If someone has access to any of these datasets can they please reach out and help as I am in need and cannot afford the subscription here are their titles and doi:

RF JAMMING DATASET FOR VEHICULAR WIRELESS NETWORKS

10.21227/4zwk-yw78

MEDIUM OBSERVATION UNDER JAMMING ATTACKS IN VANETS

10.21227/yvxd-mf03

I’m looking for a Rotten Tomatoes dataset that has user reviews, critic reviews and movies (doesn’t need to necessarily have metadata but would be preferred) for a recommendation system I’m trying to build. Are there any good datasets that would work for this or would I need to attempt to scrape it myself (I have 0 experience webscraping).

Preferably with data over time, too

Hi,

I am trying to start a project and am looking for a dataset on weight loss drugs and there health effects, or the effects of saunas/cold plunges on health. All I know of to look is Google datasets, and kaggle and haven’t found much.

Could someone point me in the right direction ?

Where would I find online university student enrolments data, number of students, term start and finish, name of course, course length. I want to produce cohort analysis and scenario analysis on various course lengths and term starts.