Hi everyone👋,

Maybe someone has researched mapping COIOP product classification with EXIOBASE3 industry classification? I have the CPI of Germany with COICOP products, want to map with EXIOBASE industries to see how much energy sectors consume and if price increase of certain products are justifiable or not. Could someone guide me?

I’m curious if there’s any data on noise pollution over time in cities, such as NYC, London, Paris, or perhaps even in entire countries (if that even makes sense).

I’m thinking electric cars are becoming more common, and they’re more quiet, so perhaps noise pollution has gone down in recent years?

(To be honest I’d be more interested in a graph than the raw data, but this was the stats/data request sub I found (via askstatistics…) so here I am.)

Thanks!

Hello, I’m currently working on a project and we’re trying to offer information to clients about average maintenance costs of ownership of a vehicle. So, basically, if you are planning to buy a vehicle, you would know how much and when you would have certain expenses related to maintaining your vehicle (scheduled services, oil changes, windshield wipers, tire changes, etc).

Ideally, the dataset would show information based on average mileage driven per year, different makes, years, and models, and separate information for each state.

Thank you!

Hi all,

I wanted to create an image classification model for dinosaur recognition but had no success in finding any usable images. Does anyone have an idea where to find a dinosaur images dataset(s)?

Thanks

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Hello people,

I am looking for a multiclass classification dataset(more than 3 classes) for my data mining project. If you have any leads please let me know. I have been searching for sometime on kaggle, UCI repository but I am not able to find it. Thanks in advance.

Note: It shouldn’t contain any Text or Image analysis.

These are supposed to be birth dates, how to read them?
2440511

2439348

2443536

2429575

2439815

2441089

2439139

2435595

2439094

2442944

2446164

2437132

2441420

2442178

2436247

2433557

2440835

2430173

2436205

2447681

2436951

2435644

2436441

2441879

Dear everyone,

I humbly seek your assistance in my current endeavor. I am tasked with conducting a data analysis as part of my school project. The initial (and, for me, the most challenging) step is to identify two datasets that are interrelated and can be merged. Subsequently, I will proceed with the analytical work, which does not intimidate me. The datasets need not provide instant, magical solutions to one another, but there should be a logical basis for their integration.

The primary dataset should encompass approximately 20 categories, with a predominant emphasis on categorical data. It should be in a format that can be reasonably connected or merged with the second dataset, which should originate from a different data structure or source.

Honestly, after hours of diligent searching, I find myself somewhat disoriented. I would greatly appreciate any insights or suggestions. Initially, we contemplated working with a dataset pertaining to train delays in Poland, aiming to correlate it with weather data based on the date. Unfortunately, the dataset concerning Polish trains contains only 8 columns.

I will be immensely thankful for any guidance or counsel. Thank you!

Hey, just trying to do some analysis on banks in the UK. However, I’m finding that a lot of available datasets are outdated. Any chance someone could help me find an up to date data set with location and number of banks? I’m aware that each each bank has their own locator API, but I’m unfamiliar with APIs.

Thanks in advance.

Hi all,

I’m involved in a food project in the Middle East – specifically Iraq/Kuwait. I was wondering if you know any good market research tools/websites/resources/reports on these countries/Middle East region – specifically related to restaurants/food/franchises/what works vs. what doesn’t etc. Or things like average spend per person etc. The closer it relates to food/restaurants the better.

I”m in the beginning stages of working with franchises and need to research to assess the market in terms of needs and what could work vs what doesn’t. Having an insight into regional countries would give me something to think about, as there seems to be a real dearth of research/data.

Appreciate any info/tips/help. Thank you.

For a travel-related project, I need a dataset that contains the total duration of rainfall, as this is the most relevant measure of whether you can spend time outside in a given location. For example: Miami might average 5cm of rainfall, but it may all happen in 30 minutes. Seattle might average only 1cm, but spread out over 8 hours of a day.

Has anyone come across a weather dataset that has precipitation duration metrics? Haven’t found anything like this on WeatherSpark, wunderground, etc.

Thanks!

Does anyone know of a dataset listing NZ post codes with their associated latitude and longitude coordinates? Everything that I could find seemed to have a cost associated.

Thanks!

I’m looking for a text dataset to perform information extraction from work orders, manufacturing process sheets and such.

I’m looking to extract information regarding job processes, summarize and simplify procedures. Also identify causes for waste and failure.

I’d be grateful for any help. Thank you so much.

Hello

I’m wondering if anyone knows of any good image datasets (I don’t really care too much of what), but with location tags (e.g. GPS or country)

Thanks!

Does anyone know of a tennis matches dataset that’s event-based? I mean a dataset listing every event in a tennis match with timestamps, categories, etc.

For instance, I wanted to answer some questions which I think are only answerable with such a dataset, such as:

In the last set of the game, how often does the person who starts win? Does it matter to start a set? What about a tiebreak? How often do reversals happen? On best 3s? On best of 5s? How beneficial is it to have contested games vs cleanly won games? Does that percentage change when you get to the top when compared to lower ranked players? Can game duration predict winners? Out of those players who got injured during a game, how many end up winning? Out of those, how many manage to keep on winning?

I think having something like this would be so valuable for bettors…

I suspect the ATP does have a dataset like this, but I think they do not intend on sharing it.

How can I create a mock dataset with 10 groups of different distributions but equal (or very near equal) means and SDs? I preferably want vastly different distributions – normal, bimodal etc. etc. With each group having maybe 50-100 datapoints. Preferably want this as a CSV or something I can easily use in R! Thank you.

Hi guys!
We have collected a multilingual corpus with text data and coordinates. The dataset is divided into the 123 most populated regions of the world: ~500,000 messages from social media + their coordinates, each in a separate json file according to the region. The dataset is suitable for tasks such as geotagging text data. Use it, share your opinion 🤗
PS we also have a similar dataset with timestamps, let me know if you need it 👾

I’m looking for a dataset that measures political partisanship at the neighborhood level. Some thing that has political party is the chip measures at the census tract or a ZIP Code, or similar scale would be preferable. Thanks in advance.

I want a dataset of prices where there is an increasing price for higher Consumption bands. An example could be Consumption caps in the covid pandemic panic (on toilet papers, masks or Alcohol gel). Other example could be residential energy Consumption bands, where heavy spenders are penalized, or other environmental tax is applied.

I want specifically transacional data, longitudinal per consumer, but time series panel data with average price per location that shows this higher price by higher Consumption Pattern would also be Nice.

I can find only limited/paid datasets. I would be of great help!

Hello, I’m looking for one or two datasets of the tickets sold for tour dates of hip hop artists. Specifically, I want to compare the streaming numbers of artists with their live numbers, and I’m interested in comparing Drake to Kanye West. Can anyone suggest a dataset for this task? Thank you!

Hi Guys
I am embarking on a new project where I would like to train a GAN to create Islamic patterns for doors, roofs, and other furniture. I’ve attached a few examples of what I have in mind as I am looking for a dataset I can use for training.
Any directions or recommendations will be appreciated, and advise on the model are welcome as well.

Hi Guys
I am embarking on a new project where I would like to train a GAN to create Islamic patterns for doors, roofs, and other furniture. I’ve attached a few examples of what I have in mind as I am looking for a dataset I can use for training.
Any directions or recommendations will be appreciated, and advise on the model are welcome as well.

Hello everyone I would try for my exam in Statistical Learning & Data Mining to analyze some matches of football to try to understand the tactical and technical skills of football coaches and players. Could you help me to find something like that? I need something like Sofascore but I can’t find open data on this website.

Hello friends, I am doing some exploration with central place theory, and I would love a dataset where all cities in a midwestern state are listed by population per year (or decade), from the date of founding (or as far back as possible). Where might I find such a thing? I could scrape “historical population” on Wikipedia but I am sure more streamlined data exists somewhere

I’m doing a project for class and looking for some data ragarding digital anonymity to analyze.

Hi! I am looking for a data set containing decisions by Indian and English Courts till date. Any leads will be helpful.

I’m currently working on a research project focusing on the fascinating world of Over-The-Top (OTT) streaming platforms and how they’re reshaping the entertainment industry. 🍿📺

Specifically, I’m diving into Survival Analysis to understand how various events and industry changes impact user retention over time. 📈⌛

However, here’s where I could use your expertise and assistance! 🙏 I’m on the hunt for a suitable dataset that contains comprehensive information related to OTT platforms, user behavior, subscription details, and relevant industry events. 📦💼

If any of you have access to or know of a dataset that aligns with these criteria, I would be immensely grateful if you could share it with me. Your support and collaboration would be a significant contribution to my research project.

Feel free to drop me a message here if you have any leads or datasets to share.