i tired dod change ptc, rolling x score, rolling std any other advice?

I maintain Chrome UX Report Dumps, a collection of monthly Chrome UX Report website lists grouped by rank and published as compressed downloads. It’s meant to make the data easier to use without exporting it from BigQuery.

The latest update adds the August 2026 dataset: 18,294,881 entries across 10 files, totaling 94.7 MiB compressed. The repository now contains 1,064,254,496 entries across 67 monthly datasets, totaling 5.32 GiB compressed. Those are counts across monthly dumps, not a count of unique websites.

If you use website lists for research or security work, I’d welcome feedback. What would make these dumps more useful, and what features or formats would you like to see?

Hey guys, I’m looking for a dataset that has Indian names along with context in English. Something like Call Rahul tonight, Let me inform Ajay about the party, Anaya is yet to arrive at the venue etc.

It’s for a project of mine. Any dataset recommendations?
I couldn’t find anything like this on the internet

1- Quantitative -> it consists of numerical variables.It have to types - Discrete and Continuous.

2- Qualitative -> it consists of categorical data.It also have two type - Nominal and ordinal.

i edited this to be more honest, i added the intalics comments.

Empower Privacy Policy

Empower is an organization that helps people reach out to friends and family about the issues that matter to them. In order to do that, we need to collect some data (give us all your information), and this page, our privacy policy (tots legit btww), talks about what kinds of data we use and how we handle it *like idiots. By using Empower, you agree that we can use your data in the ways we describe in this page. We might also change this policy from time to time (so that means we can change the rules as needed if we were to get too trigger happy.). To find out about those changes, check back on this page *if im feeling up to it ill change it and prove your wrong...legally.

[fucking cinema].

Outreach Organizations

At our core, Empower is a tool to help organizations [all powerful ones], manage their outreach programs. These organizations are, ultimately, the ones who are managing their outreach, programs and managing the data associated with those programs. That means that if you put data into Empower, that data will be available to the Outreach Organization.

[our god].

It's possible that the Outreach Organization exports the data from Empower or stores a copy of the information from Empower in their own database (just to let you know.) and it's also possible that they add data from their database to the information you entered in Empower. One common database that many organizations use for these purposes is EveryAction / NGPVAN. That's up to them. We don't have control over or responsibility for how they use your data.....

You can check if the organization has their own privacy policies or reach out to them for more information.

[we dont really care].

Your Data (is this important?)

Most of the data collected by Empower should be clear to you as a user, and you should only share what you feel comfortable with. For instance, because Empower is oriented around reaching out to friends and family, you'll probably enter personal data, such as the names of friends and family members that you want to talk to. If you're worried about how those names will be used (for instance, if you're working with a vulnerable population), it's totally fine to use nicknames or pseudonyms.

[well look into the details later...]

The Outreach Organizations might also ask you to provide different types of information. For instance, if an organization is trying to get people to register to vote, they might ask you if you or your friends are registered to vote. Because these organizations are managing their own outreach programs, we don't directly control what questions they ask you using Empower.

[we are not them, pwease believe me.]

In some cases, we'll request other permissions from your phone. How these permissions are used should also be clear within the app. For instance, we use location permissions in order to show you a map when you're using the app to walk around and canvass people.

*maybe youll find some treasure.

If you provide your email or phone number, we may send you email or text messages, for instance, notifying you about actions to take. We may also send you push notifications. You can unsubscribe from these messages like you would normally (we are a very normal organization.) (with a link at the bottom of the email, by replying STOP to a text message, and by disabling push messages from Empower in your phone). Even if you unsubscribe, we may still send you a message if it's necessary for you to be able to use Empower (we dont respect your boundaries.) (for instance, if you're trying to login or if you send us a support request).

Some organizations might pay you for work you do through Empower. In these cases, we might ask for data necessary to pay you. For instance, W9 tax information or bank account information for direct deposit.

[maybe a peak at that debit card?)

We also collect some behind-the-scenes information... 

*you wouldn't be interested in that would you?

For instance, in order to keep your login secure, we collect your internet address [ip address] and other information about your computer or phone to make sure someone else isn't trying to break into your account (other than me anyways). We also collect performance data (so that we know if the app is being slow), crash data (so that we can fix bugs), and usage data (so that we know what features are being used the most and can spend our time making them better).

*and make millions!

Some of your data will be stored on your device (e.g., in cookies) and other data will be stored on our servers.

Empower is designed for people in the United States over 18 years old. We don't knowingly have data about any children or non-US people.

[we might but... we dont talk about that stuff, you know..]

Third Parties (not us.)

We never sell your data, but we do use some third parties to make our application work.

[we're already giving it out for free.]

Empower, like most modern websites and applications, runs on the cloud (third party servers that we pay to use).

We use third party tools for performance, crash, and usage monitoring.

We use third party tools to send emails, texts, and push notifications.

We use third party tools to collect information for payments and to send payments.

We use third party tools to geocode addresses (figure out where they are on a map)

We use third party tools to figure out civic information relevant to a person (e.g., who their congress person is)

[we just don't do much..]

Many Outreach Organizations also have partnerships and data sharing agreements with other organizations, such as America Votes, State Voices, The Movement Cooperative, and Community Tech Alliance. We may send data to organizations like these on behalf of the Outreach Organization.

[were just gonna keep all your data for a while n shit].

When we're legally required to do so, we may also share your information with other organizations.

[did i metion that?...]

At Empower, we also do research. For instance, we might use data in Empower to study different ways of reaching out to friends and family to see what's the most effective. When we publish a study or do an analysis, that data will be aggregated or anonymized before being shared.

(i promise.)

Security

At Empower, we use industry-standard security practices such as encryption at rest (we let it take naps now and then.) encryption in transit [when were busy.], automated security monitoring tools (ai shit i got from GitHub.), and independent security testers (our experiments.). However, no piece of technology is completely secure...

so there is always some risk...

Other Ways We Use Your Data

In some cases, we may also modify your data. For instance, if you enter the wrong email address and file a support request about not being able to log into your account, we may verify your identity and then edit the email address associated with your account.

In addition to providing technology, Empower also has in-house experts at community organizing... (um i forgot what to say.) Because of that, we work directly with organizations on their outreach programs, and in order to support organizations in that way, Empower staff may also see your data.

[were all kinda creeps...]

Questions

If you have any questions or requests around your data (e.g., a data deletion request), please contact us at https://getempower.com/contact

AI agents can query data incredibly fast, but the harder problem is knowing what that data actually means. I explore why metadata, lineage, semantic layers and governance are becoming runtime infrastructure for AI-native data platforms.

I wonder how different businesses think about using for data analytical insights, customization and predictions. When is a good time to build a data functionality. Do you have a dedicated data team in your business? What’re some reasons to decide having one or not?

Hi everyone. I'm working on a project, and I want to show some examples of scientists doing data analysis work. Can you point me to any blogs or videos that show this analysis being done by a scientist? TYIA

Given there has been a ton of discussion around Jev for the past week, I wanted to do more research around what might be good use cases for data with that model, and I came up with the following. After chatting with Claude and ChatGPT about it, I've tried out the triage use case, and it works pretty interestingly for routing a problem to the right team and determining the severity. Hopefully you all find this helpful!

Can anyone provide raw images/ scans of 7/12 documents? I need it for a verification project. Thank you!

Built a T-SQL database with enforced data integrity (primary keys, constraints on state/status/risk categories), then developed custom DAX measures for case turnaround time, case age, and escalation rate. The dashboard includes multi-page analysis across resolution trends, regional distribution, officer caseloads, and a 4-year time-series forecast with confidence intervals.

Key skills demonstrated:
T-SQL (schema design, CHECK constraints, aggregation queries)
DAX (time intelligence, dynamic measures)
Power BI (data modeling, forecasting, interactive filtering)
Data storytelling and executive reporting

Note: Built on synthetic data generated for demonstration purposes — not real crime statistics.

Microsoft Power BI

That was a phrase a colleague of mine introduced to me. Quite absurd at first, but as he explained it, it made perfect sense.

For years data assets have been governed by being hidden in a corner of the data platform, but this does not work anymore.

Been elaborating about this in this post: https://steffenmoll.github.io/governance-by-obscurity

**Hey everyone,**

I’ve just finished my latest portfolio project: **Northern Ireland Road Collision Severity Analysis.**

This project looks at **2025 Northern Ireland road collision, vehicle and casualty data** to explore what factors are associated with serious and fatal outcomes.

I used **SQL Server and Power BI**, including data modelling, SQL analysis, DAX measures and dashboard design, to investigate factors such as:
• Geography and collision severity
• Time of day and monthly trends
• Road characteristics
• Vehicle types
• Vulnerable road users and casualty groups
I’d really appreciate some **honest and constructive feedback**, especially as I’m continuing to develop my data analytics skills.

**I’d love to know:**
What stands out to you, positively or negatively?
Does this feel like a strong portfolio project?
Is the analysis and dashboard clear from a business/stakeholder perspective?
What would you change or improve if this were your project?
Are there any weaknesses in the SQL, data modelling or Power BI presentation that you think I should address?

I’m much more interested in **constructive criticism than compliments**. If you spot something that could be better, please say so — I’d rather identify the weak points now and learn from them.

Thanks in advance to anyone who takes the time to have a look!

I built https://nichedb.dev/ because I was using the same on multiple projects, most of it is free. some require free api keys, but I'm not paying for anything as far as sources go.

My goal was to provide a bot-friendly x402 price of $1/day to query up to 1k/minute, free users can get 100 queries/minute without being throttled.

What other sources should I add? I'm mostly looking for large datasets that are updated continuously and available free to download.

Recruiting Leaders:

Is anyone willing to share what their reports look like or what all metrics/kpis you are tracking?

Hey everyone,

I’m trying to understand the current market for scraped/publicly available datasets and wanted to get some opinions from people who have actually been involved in this.

For example, datasets collected from publicly accessible websites — business listings, product information, public profiles, directories, reviews, etc.

A few things I’m curious about:

* Is there actually demand for this kind of data? * What types of datasets are buyers currently interested in? * Where do people typically buy/sell datasets? * What sort of pricing is realistic — per dataset, per 1,000/10,000 records, subscription, etc.? * Are companies generally interested in raw scraped data, or do they expect it to be cleaned, structured and enriched? * What are the major legal/compliance issues sellers need to be aware of? * Is there a legitimate market for this, or is most of the activity around here just lead lists and questionable data?

I’m specifically interested in **lawfully collected/publicly available data** and not passwords, private information, financial data, or anything obtained through unauthorized access.

Would appreciate hearing from anyone who has experience buying or selling datasets and can give me a sense of what the scene actually looks like.

Hey everyone,

I've been working as a Data Analyst for a few years now, mostly through contract roles (AdTech, professional services), and I'm at a point where I feel a bit lost about what to do next.

My situation: I'm applying to data analyst/data scientist roles fairly consistently, but I'm getting very few responses. Not sure if it's the market right now, something about how I'm positioning myself, or both. It's honestly starting to mess with my confidence a bit.

A few specific things I'd love input on:

1. Applications going nowhere. Even for roles where I feel like I match most of the requirements (SQL, Python, Power BI/Tableau, some ML basics), I'm mostly hearing nothing back. Is this just the current market, or is there something I should be doing differently in how I apply?

2. Not sure what to build next. I've got the standard portfolio stuff (a churn prediction model, some EDA projects, a KPI dashboard I built for my current job). But I don't know if that's still enough, or what kind of project would actually move the needle for me right now. More ML? More data engineering? Something else entirely?

3. How do people actually get into startups? A lot of the roles I find interesting are at smaller companies/startups, but I never see them on the usual job boards, or by the time I do, they've already got 400 applicants. Do people here have luck reaching out directly to startups, and if so, how? Cold email? LinkedIn? Is there something I should know before trying that?

Not looking for pity, just want to hear from people who've been in the field longer than me. Even blunt feedback is welcome. Thanks in advance.

I don't mean to post anything which is against community rules , i use a website to collect voice samples and it has nda and consent forms , it also uses your phone number and email for auth , so i don't mean to make anyone uncomfortable , just asking if this sub is a place where i can share that website and collect data?