This dataset originates from DataCamp. Many users have reposted copies of the CSV on Kaggle, but most of those uploads omit the original instructions, business context, and problem framing. In this upload, I’ve included that missing context in the About Dataset so the reader of my notebook or any other notebook can fully understand how the data was intended to be used and the intended problem framing.

Note: I have also uploaded a visualization of the workflow I personally took to tackle this problem, but it is not part of the dataset itself. Additionally, I created a PowerPoint presentation based on my work in the notebook, which you can download from here:
PPTX Presentation

Recipe Site Traffic

From: Head of Data Science
Received: Today
Subject: New project from the product team

Hey!

I have a new project for you from the product team. Should be an interesting challenge. You can see the background and request in the email below.

I would like you to perform the analysis and write a short report for me. I want to be able to review your code as well as read your thought process for each step. I also want you to prepare and deliver the presentation for the product team - you are ready for the challenge!

They want us to predict which recipes will be popular 80% of the time and minimize the chance of showing unpopular recipes. I don't think that is realistic in the time we have, but do your best and present whatever you find.

You can find more details about what I expect you to do here. And information on the data here.

I will be on vacation for the next couple of weeks, but I know you can do this without my support. If you need to make any decisions, include them in your work and I will review them when I am back.

Good Luck!

From: Product Manager - Recipe Discovery
To: Head of Data Science
Received: Yesterday
Subject: Can you help us predict popular recipes?

Hi,

We haven't met before but I am responsible for choosing which recipes to display on the homepage each day. I have heard about what the data science team is capable of and I was wondering if you can help me choose which recipes we should display on the home page?

At the moment, I choose my favorite recipe from a selection and display that on the home page. We have noticed that traffic to the rest of the website goes up by as much as 40% if I pick a popular recipe. But I don't know how to decide if a recipe will be popular. More traffic means more subscriptions so this is really important to the company.

Can your team: - Predict which recipes will lead to high traffic? - Correctly predict high traffic recipes 80% of the time?

We need to make a decision on this soon, so I need you to present your results to me by the end of the month. Whatever your results, what do you recommend we do next?

Look forward to seeing your presentation.

About Tasty Bytes

Tasty Bytes was founded in 2020 in the midst of the Covid Pandemic. The world wanted inspiration so we decided to provide it. We started life as a search engine for recipes, helping people to find ways to use up the limited supplies they had at home.

Now, over two years on, we are a fully fledged business. For a monthly subscription we will put together a full meal plan to ensure you and your family are getting a healthy, balanced diet whatever your budget. Subscribe to our premium plan and we will also deliver the ingredients to your door.

Example Recipe

This is an example of how a recipe may appear on the website, we haven't included all of the steps but you should get an idea of what visitors to the site see.

Tomato Soup

Servings: 4
Time to make: 2 hours
Category: Lunch/Snack
Cost per serving: $

Nutritional Information (per serving) - Calories 123 - Carbohydrate 13g - Sugar 1g - Protein 4g

Ingredients: - Tomatoes - Onion - Carrot - Vegetable Stock

Method: 1. Cut the tomatoes into quarters….

Data Information

The product manager has tried to make this easier for us and provided data for each recipe, as well as whether there was high traffic when the recipe was featured on the home page.

As you will see, they haven't given us all of the information they have about each recipe.

You can find the data here.

I will let you decide how to process it, just make sure you include all your decisions in your report.

Don't forget to double check the data really does match what they say - it might not.

Global C2C Fashion Store User Behaviour Analysis

Analyzing Buyer and Seller Profiles across Countries

By Jeffrey Mvutu Mabilama [source]

About this dataset

Welcome to an exciting exploration of global C2C fashion store user behaviour! This dataset seeks to serve as a benchmark by providing valuable insights into e-commerce users, enabling you to make informed decisions and effectively grow your business. Let's dive right into the data!

This dataset contains records on over 9 million registered users from a successful online C2C fashion store launched in Europe around 2009 and later expanded worldwide. It includes metrics such as country, gender, active users, top buyers/sellers/ratio*, products bought/sold/listed* and social network features (likes/follows). Furthermore this is just a preview of much larger data set which contains more detailed information including product listings, comments from listed products etc.

E-commerce has become an essential part of our lives - people are now accustomed to buying anything with a few clicks online. With so many unknown elements that come with not only selling but also providing good customer service - understanding user behavior is key for success in this domain. By utilizing this dataset you can answer questions such as 'how many customers are likely to drop off after years of using my service?,' 'are my users active enough compared to those in this dataset?,” or “how likely are people from other countries signing up in a C2C website?' In addition, if you think this kind odf dataset may be useful don't forget do show your support or appreciation by leaving an upvote or comment on the page!

My Telegram bot will answer any queries regarding the datasets as well allow you see contact me directly if necessary; also please don't forget check out the *[data.world page](https://data.world/jfreex/e-commerce-users-of-a-french-c2c

More Datasets

For more datasets, click here.

Featured Notebooks

• 🚨 Your notebook can be here! 🚨!

How to use the dataset

This dataset provides a useful overview of global users' behavior in an online C2C fashion store. The data includes metrics such as buyers, top buyers, top buyer ratio, female buyers and their respective ratios, etc., per country. This dataset can be used to gain insights into how global audiences interact with the store and draw conclusions from comparison between different countries.

In order to make use of this dataset, one must first familiarize themselves with the various metrics included in it. These include: country; number of overall buyers; number of top buyers; ratio(s) of them (top buyer to total buyer); female-related data (buyers, top female buyers); bought-to-wish/like ration (top and non-top separately); overall products bought/wished/liked; total products sold by tops sellers in the same country versus what they sold outside the country; mean value for product stats (sold/listed/etc...) from looking at the whole population or just users that make those actions multiple times; average days for user offline /lurking around on the site without posting anything or buying anything etc.; mean follower(s) count(s).

Using this data one could generate reports about user behavior within particular countries either manually by computing all statistics or by using libraries like Pandas or SQL with queries made toward this datasets which consists of columns representing individual countries with all values necessary to answer any questions you might have regarding how many people buy something out there per region and what type they are –– Are they Top Buyer? Female? Etc.

Further potential work could involve utilising machine learning tools such as clustering algorithms to group similar customers together based on certain traits like age group, profession etc., so that personalised marketing promotions can be targetted at these customer clusters rather than aiming more generic ads at everyone!

Finally combined with other related product datasets which is available upon request via JfreexDatasets_bot provided by Jfreex team , this dataset can become another powerful tool providing you actionable insights into customers today — allowing you build better strategies towards improving customer experience tomorrow!

Research Ideas

• Analyzing the conversion rate of users on a website - Comparing user metrics like the overall number of buyers, female buyers, top buyers ratio and top buyer gender can help determine if users in certain countries are more or less likely to convert into customers. Additionally, comparing average metrics like products bought or offl...

so if you have to have a G+ account (for YouTube, location services, or other reasons) - here's how you can make it totally private! No one will be able to add you, send you spammy links, or otherwise annoy you. You need to visit the "Audience Settings" page - https://plus.google.com/u/0/settings/audience You can then set a "custom audience" - usually you would use this to restrict your account to people from a specific geographic location, or within a specific age range. In this case, we're going to choose a custom audience of "No-one" Check the box and hit save. Now, when people try to visit your Google+ profile - they'll see this "restricted" message. You can visit my G+ Profile if you want to see this working. (https://plus.google.com/114725651137252000986) If you are not able to understand you can follow this website : http://www.livehuntz.com/google-plus/support-phone-number

Jamaica number dataset makes your telemarketing more beneficial. Thus, this Jamaica number dataset has correct and up-to-date mobile numbers for direct marketing. As of 2024, there are about 3.27 Million mobile phone connections in Jamaica. This number is a bit higher than the total population, which is around 2.83 Million. Our List To Data website can assist in getting speedy replies from new clients for publicity. Besides, the Jamaica number dataset is effective for SMS marketing as well. As well as you have multiple chances to earn huge from other countries. So, using this contact number library is a perfect choice for reaching people in specific places. By using our library, you can enhance your marketing and find new B2C clients easily. Jamaica phone data is a great way to help your business grow. Also, this Jamaica phone data provides the most real and active phone numbers so you can easily reach people in Jamaica. Everybody can select who they want to contact based on their location, what their company does, or how big their company is. Further, the Jamaica phone data is very authentic and useful for finding new customers. At the same time, the sellers can deliver sales promotions and many offers to the consumers. Also, they can connect with the largest group of customers quickly in a selected area. List To Data includes contact leads for both businesses and individuals. Jamaica phone number list will make your business more profitable. Most importantly, a Jamaica phone number list plays a vital role in marketing and business, so take it now. Just visit our List To Data website today to get the most recent phone numbers for any business. With 95% precision, this contact book offers you contact numbers for many people who might want your services. So, the Jamaica phone number list is a great tool for reaching new customers through phone calls. In fact, you can pick from other packages on our website that fit your needs and budget. If your business is big or small, our mobile number data will help you in your entire journey. Ultimately, our team supplies this correct contact number cautiously as per your needs.

Context

You get many visitors to your website every day, but you know only a small percentage of them are likely to buy from you, while most will perhaps not even return. Right now you may be spending money to re-market to everyone, but perhaps we could use machine learning to identify the most valuable prospects?

Content

This data set represents a day's worth of visit to a fictional website. Each row represents a unique customer, identified by their unique UserID. The columns represent feature of the users visit (such as the device they were using) and things the user did on the website in that day. These features will be different for every website, but in this data a few of the features we consider are: - basket_add_detail: Did the customer add a product to their shopping basket from the product detail page? - sign_in: Did the customer sign in to the website? - saw_homepage: Did the customer visit the website's homepage? - returning_user: Is this visitor new, or returning?

In this data set we also have a feature showing whether the customer placed an order (ordered), which is what we predict on.

Finland number dataset makes your SNS marketing more profitable. Thus, this Finland number dataset has correct and up-to-date mobile numbers for direct marketing. As of 2024, there are about 9.21 Million mobile phone connections in Finland. This number is a bit higher than the total population, which is around 5.55 Million. This List To Data can assist in getting speedy replies from new clients for advertising. Besides, the Finland number dataset is effective for SMS marketing as well. In addition, you have multiple chances to earn huge from other countries. Thus, using this contact number library is an ideal selection for reaching people in specific areas. By using this phone book, you can enhance your marketing and find new B2C clients easily. Finland phone data is a wonderful way to help your business grow. Also, this Finland phone data gives the most real and active phone numbers so you can easily reach people in Finland. Anyone can decide who they like to contact based on their location, what their company does, or how big their company is. Further, the Finland phone data is very faithful and useful for finding new customers. In other words, the sellers can give sales promotions and many offers to the consumers. Hence, they can connect with the largest group of customers quickly in a fixed area. Through the List To Data, both businesses and individuals can earn a better rerun on investment [ROI]. Finland phone number list will make your business more profitable. Even, it plays a vital role in marketing and business, so take the Finland phone number list now. So, visit our List To Data website today to obtain the most recent mobile numbers for your business. This phone book offers you 95% accurate contact numbers for many people who might want your services. Also, the Finland phone number list is a great tool for reaching new customers through phone calls. Moreover, you can pick from different packages on this website that fit your needs and budget. If buy it at a reasonable price, our mobile database will help you in your entire journey. Yet, our team supplies the correct contact number cautiously as per your needs.

First Impressions Dataset

The dataset contains 20,000 images of people. For each person, a first impression of them was created. The first impression is a text consisting of several sentences.

  💴 For Commercial Usage: To discuss your requirements, learn about the price and buy the dataset, leave a request on our website to buy the dataset






  Content

The dataset includes a folder with images of 20,000 people. The .csv file consists of columns:

image_id - the… See the full description on the dataset page: https://huggingface.co/datasets/UniqueData/first-impressions-dataset.

Cambodia number dataset makes your telemarketing more beneficial. Thus, this Cambodia number dataset has correct and up-to-date mobile numbers for direct marketing. As of 2024, there are about 20.17 Million mobile phone connections in Cambodia. This number is a bit higher than the total population, which is around 17.63 Million. Our List To Data can assist in getting speedy replies from new clients for publicity. Besides, the Cambodia number dataset is effective for SMS marketing as well. This means you have multiple chances to earn huge from other countries. So, using this contact number library is an ideal choice for reaching people in specific areas. By using this list, you can enhance your marketing and find new B2C clients easily. Cambodia phone data is a great way to help your business grow. Also, this Cambodia phone data provides the most real and active phone numbers so you can easily reach people in Cambodia. Everybody can decide who they want to contact based on their location, what their company does. Further, the Cambodia phone data is very authentic and useful for finding new customers. At the same time, the sellers can give sales promotions and many offers to the consumers. Also, they can connect with the largest group of customers quickly in a fixed area. List To Data includes contact information for both businesses and individuals. Cambodia phone number list will make your business more profitable. Most importantly a correct contact number plays a vital role in marketing and business, so take it now. Just visit our List To Data website today to get the most recent mobile numbers for your business. With 95% precision, this phone book offers you contact numbers for many people who might want your services. So, the Cambodia phone number list is a great tool for reaching new customers through phone calls. In fact, you can pick from different packages on our website that fit your needs and budget. If your business is big or small, our mobile database will help you in your entire journey. Ultimately, our team supplies this Cambodia phone number list cautiously as per your needs.

This data supports the 1.05 Feeling of Safety in Your Neighborhood and 2.06 Police Trust Score performance measures.This data is the result of a community survey of approximately 500 residents collected electronically and monthly by Zencity on behalf of Tempe Police Department. The scores are provided to TPD monthly in PDF form, and are then transferred to Excel for Open Data. The trust score is a 0 to 100 measure, and is a combination of two questions: How much do you agree with this statement? Trust-Respect: The police in my neighborhood treat people with respect. How much do you agree with this statement? Trust-Listen: The police in my neighborhood listen to and take into account the concerns of local residents.The safety score is a 0 to 100 measure, and scores residents' feelings of safety in their neighborhood.The performance measure pages are available at 1.05 Feeling of Safety in Your Neighborhood and 2.06 Police Trust Score.Additional InformationSource: ZencityContact (author): Carlena OroscoContact E-Mail (author): Carlena_Orosco@tempe.gov Contact (maintainer): Carlena OroscoContact E-Mail (maintainer): Carlena_Orosco@tempe.gov Data Source Type: Zencity REST APIPreparation Method: This data is from a citizen survey collected monthly by Zencity and provided in an automated survey feed to the City of Tempe.Publish Frequency: MonthlyPublish Method: Zencity REST API Automated Survey Feed Updates ArcGIS Online feature layer.Data Dictionary

The global number of Facebook users was forecast to continuously increase between 2023 and 2027 by in total 391 million users (+14.36 percent). After the fourth consecutive increasing year, the Facebook user base is estimated to reach 3.1 billion users and therefore a new peak in 2027. Notably, the number of Facebook users was continuously increasing over the past years. User figures, shown here regarding the platform Facebook, have been estimated by taking into account company filings or press material, secondary research, app downloads and traffic data. They refer to the average monthly active users over the period and count multiple accounts by persons only once.The shown data are an excerpt of Statista's Key Market Indicators (KMI). The KMI are a collection of primary and secondary indicators on the macro-economic, demographic and technological environment in up to 150 countries and regions worldwide. All indicators are sourced from international and national statistical offices, trade associations and the trade press and they are processed to generate comparable data sets (see supplementary notes under details for more information).

Key Performance Indicators from Active People Survey (APS). Data on volunteering, club membership, tuition, organised sport, competition, satisfaction with local sports provision, for local authorities, based on Active People Survey. KPI 1 Participation is defined as taking part on at least 3 days a week in moderate intensity sport and active recreation (at least 12 days in the last 4 weeks) for at least 30 minutes continuously in any one session. Participation includes recreational walking and cycling. KPI 2 Volunteering is defined as ‘Volunteering to support sport for at least one hour a week’. KPI 3 Club membership is defined as ‘being a member of a club particularly so that you can participate in sport or recreational activity in the last 4 weeks’. KPI 4 Receiving tuition is defined as ‘having received tuition from an instructor or coach to improve your performance in any sport or recreational activity in the last 12 months’. KPI 5 Organised Competition is defined as ‘having taken part in any organised competition in any sport or recreational activity in the last 12 months’. KPI 6 Satisfaction is the percentage of adults who are very or fairly satisfied with sports provision in their local area. Organised sport is defined as the percentage of adults who have done at least one of the following: received tuition in the last 12 months, taken part in organised competition in the last 12 months or been a member of a club to play sport. A statistically significant change is indicated by 'increase' or 'decrease' and this means that we are 95% certain that there has been a real change (increase or decrease). For more information on measuring statistically significant change within Active People, see the briefing note on Sport England’s website. The 'Base' refers to the sample size, i.e. the number of respondents. http://activepeople.sportengland.org/

Italy number dataset includes phone numbers that businesses can trust. The dataset comes from reliable sources, ensuring accuracy. These sources collect numbers from various places, such as public records and directories. You can also find source URLs, which help you verify where the data came from. This adds another layer of credibility to the information. Additionally, this data provides 24/7 support. This is important for businesses that need quick answers. Furthermore, this Italy number dataset follows an opt-in process. This means every person whose number appears in the list agreed to have their number shared. They understand how we will use their information, making it safe to contact them. With this number dataset, businesses gain access to trustworthy and reliable information. List to Data is a website that helps you quickly find important phone numbers. Italy phone data is a valuable database that allows businesses to filter information based on specific needs. This means you can filter the data by gender, age, and relationship status. For example, businesses can easily find numbers for younger people to reach that age group. This ability to filter information makes communication more effective. You can focus on the audience that matters most to you. Moreover, you can remove invalid Italy phone data from the list. That means if any number becomes inactive, you can take it out. Keeping only active numbers helps ensure that your contacts are always up-to-date. This process makes it easy to get up-to-date info regularly. The ability to filter, remove invalid data, and stay GDPR compliant makes this data powerful for organizations. Italy phone number list is a collection of phone numbers from people living in Italy. This list is very useful for businesses and organizations that want to reach out to these individuals. The numbers in this list are 100% correct and valid. This means that every number works, so businesses can call confidently. If any number does not work, you receive a replacement guarantee. Furthermore, every number in the Italy phone number list comes from a customer permission basis. This means that people on the list agreed to have their phone numbers shared. By using this list, businesses can effectively connect with the right people while keeping everything legal and safe. The valid numbers and replacement guarantee make this list an excellent tool for outreach.

Very Important

• Check out the new must-see kernel for this dataset Click Here
• Make Sure to upvote for more datasets and kernel :D

Overview:

Explore the dataset and potentially gain valuable insight into your data science project through interesting features. The dataset was developed for a portfolio optimization graduate project I was working on. The goal was to the monetize risk of company deleveraging by associated with changes in economic data. Applications of the dataset may include. To see the data in action visit my analytics page. Analytics Page & Dashboard and to access all 295,000+ records click here.

• Mortgage-Backed Securities
• Geographic Business Investment
• Real Estate Analysis

For any questions, you may reach us at research_development@goldenoakresearch.com. For immediate assistance, you may reach me on at 585-626-2965. Please Note: the number is my personal number and email is preferred

Statistical Themes:

Note: in total there are 75 fields the following are just themes the fields fall under Home Owner Costs: Sum of utilities, property taxes.

• Second Mortgage: Households with a second mortgage statistics.
• Home Equity Loan: Households with a Home equity Loan statistics.
• Debt: Households with any type of debt statistics.
• Mortgage Costs: Statistics regarding mortgage payments, home equity loans, utilities and property taxes
• Home Owner Costs: Sum of utilities, property taxes statistics
• Gross Rent: Contract rent plus the estimated average monthly cost of utility features
• Gross Rent as Percent of Income Gross rent as the percent of income very interesting
• High school Graduation: High school graduation statistics.
• Population Demographics: Population demographic statistics.
• Age Demographics: Age demographic statistics.
• Household Income: Total income of people residing in the household.
• Family Income: Total income of people related to the householder.

Sources, if you wish to get the data your self :)

2012-2016 ACS 5-Year Documentation was provided by the U.S. Census Reports. Retrieved May 2, 2018, from

• Census estimate, error, and location data
• Census location information

Access All 325,258 Location of Our Most Complete Database Ever:

Providing you the potential to monetize risk and optimize your investment portfolio through quality economic features at unbeatable price. Access all 295,000+ records on an incredibly small scale, see links below for more details:

• Full Dataset: View Full Dataset
• Real Estate Research: View Research

Lithuania number dataset is a database of phone numbers collected from trusted sources. This means the numbers come from reliable places like government records, websites, or phone companies. The companies that provide this data work hard to ensure it is correct. They even offer source URLs, so you can see where the data came from. Moreover, you get 24/7 support, so if you have questions, help is always available. List to Data is a helpful website for finding important cell numbers quickly. Additionally, the phone numbers in the Lithuania number dataset follow an opt-in system. This means people agreed to share their phone numbers. This system is important because it keeps the data legal. It ensures that you are only contacting people who have given permission. Number data in Lithuania makes it easy to connect with the right people. Lithuania phone data is a special set of phone numbers that you can filter to meet your needs. You can easily filter the list by gender, age, and relationship status. For example, you can quickly sort the data to contact older adults or young singles easily. This flexibility makes it easier to communicate with the right audience. Therefore, you can connect with the people you want to reach. Also, the Lithuanian phone data follows strict GDPR rules. These rules protect people’s privacy and make sure their information stays safe. We collect and use the database of Lithuania in ways that respect everyone’s rights. Additionally, it removes any invalid numbers. You can find important phone numbers easily on our website, List to Data. Lithuania phone number list is a collection of phone numbers from people living in Lithuania. This list is completely correct and valid, meaning all numbers work properly. Companies check every phone number to ensure it is accurate. If you find a number that doesn’t work, you can get a new one for free. Moreover, Lithuania phone number list is about all numbers from authorized customers. People on this list agreed to share their numbers. As a result, you can use the data without worrying about legal issues. This makes the phonebook safe and useful for businesses that want to connect with people in Lithuania.

A dataset providing information about local council services in Leeds. Leeds City Council uses this information to populate the Knowledge Panels on the Google search website. The dataset includes type of service, contact information and opening times. What is a Knowledge Panel? When people search for a business on Google, they may see information about that business in a box that appears to the right of their search results. The information in the box, called the Knowledge Panel, can help customers discover and contact your business. Is the information correct?

A dataset of COVID-19 testing sites. A dataset of COVID-19 testing sites. If looking for a test, please use the Testing Sites locator app. You will be asked for identification and will also be asked for health insurance information. Identification will be required to receive a test. If you don’t have health insurance, you may still be able to receive a test by paying out-of-pocket. Some sites may also: - Limit testing to people who meet certain criteria. - Require an appointment. - Require a referral from your doctor. Check a location’s specific details on the map. Then, call or visit the provider’s website before going for a test.

Do-Not-Answer: A Dataset for Evaluating Safeguards in LLMs

  Overview

Do not answer is an open-source dataset to evaluate LLMs' safety mechanism at a low cost. The dataset is curated and filtered to consist only of prompts to which responsible language models do not answer. Besides human annotations, Do not answer also implements model-based evaluation, where a 600M fine-tuned BERT-like evaluator achieves comparable results with human and GPT-4.

  Instruction… See the full description on the dataset page: https://huggingface.co/datasets/LibrAI/do-not-answer.

The Datacovid COVID19 barometer, through a partnership with IPSOS, collects accurate data to inform French people’s behaviours and their impacts on the dynamics of the epidemic during the COVID 19 phase, in order to offer them in open-data to the scientific community, public administrations, businesses and all citizens. The challenge is to respond quickly to the information gap in the epidemic management systems, both in the current lockdown period and in the subsequent period. The Datacovid COVID-19 barometer consists of three categories of information on an unbiased panel representative of the population: 1. information on symptoms of infection and medical history; 2. behavioural parameters on the monitoring of containment rules and compliance with barrier gestures; 3. sociodemographic, economic and psychological characteristics of the respondents. CONDITIONS FOR THE USE OF DATASETS FROM THE COVID-19 BAROMETER The data sets published by datacovid.org on its website datacovid.org/data, datacovid.org/api and on data.gouv.fr, come from the Covid-19 Barometer operated by IPSOS in partnership with datacovid.org, a non-profit association governed by the French law of 1901. These datasets: — are governed by French law and by the terms of use of the datacovid.org website, — are published on the Internet for a non-profit, scientific and citizen purpose to fill the information gap on the systems of societal management of epidemics, — have previously been redacted from any data enabling the identification of a person who responded to the Covid-19 Barometer, — are open, i.e. they can be consulted, used and shared by all, in particular for research purposes, including scientific, historical and statistical purposes, — shall not give rise to commercial use, except that the results derived from those datasets, directly or indirectly, may also be opened, within the meaning defined above and brought to the attention of datacovid.org to ensure their opening, — must not be reconciled with other datasets or other resources under conditions that would allow a third party, by correlation, inference or by any means whatsoever, to identify a person who responded to the Covid-19 Barometer. As a result, — any use of these data sets and of all or part of their constituent elements which does not comply with each of the conditions listed above is prohibited, in particular: — any commercial use not open within the meaning defined above is prohibited and would be liable to prosecution and civil, administrative and criminal penalties in accordance with the French regulations in force, — any correlation or inference between the constituent elements of these datasets and other data sources, which would allow a third party to identify a person who responded to the Covid-19 Barometer, would be liable for such a third party in respect of datacovid.org and any person concerned and would be liable to civil, administrative and criminal proceedings and penalties under the French legislation in force. By downloading or making available to a third party data from the Covid-19 Barometer, I undertake to comply with the above objectives and the terms of use of the datasets published by datacovid.org. If I have any questions or doubts, I ask contact@datacovid.org while remaining responsible for my actions or those of my attendants and service providers. NB: Traffic data relating to access to the datacovid.org site are processed by datacovid.org and its service providers in order to measure their attendance and to ensure the availability, integrity and security of the site and its contents, under conditions and according to retention periods in accordance with French regulations. Any natural person who proves his identity may write to contact@datacovid.org to exercise the rights guaranteed to him by the French and European regulations in force relating to the protection of personal data and privacy, in particular the rights of access, opposition or deletion of personal data concerning him or her processed by datacovid.org.

Real Estate Email List is a premium mailing database for your needs. Most importantly, the list is the most popular site in the world. It is the largest data provider. Besides, the list is verified by human checks and automated software. You get new connections instantly. In addition, our expert team builds a qualified email list and checks the accuracy levels from millions of sources. The list is 95% accurate for giving the best results. Moreover, the dataset provides authentic service. This service can help you grow your business in a short time. Also, the leads link is ready for instant download. Furthermore, we give weekly updates and a bounce-back guarantee with Excel and CSV files. The leads give more information about your services. If you want a specific real estate email list, tell us. We make it for you properly. We provide new data for free to replace missing data.

Real Estate Email List provides a free sample for marketing campaigns. You can create any custom order with your desired areas. The leads ensure that you never get inactive email data. After visiting our website, List to Data, contact us. You can purchase this email list to make your business more competitive. The dataset is profitable. In conclusion, you can get instant results for your products and services. Real Estate Email Database gives you verified and updated contact details. Also, it helps you connect with property owners, agents, and investors directly. In fact, this dataset includes names, phone numbers, email addresses, and postal details. Therefore, you can reach the right people in the real estate market quickly. So, you get high-quality leads that can help you grow your business. Likewise, it covers both residential and commercial real estate sectors. As a result, you can target your audience more effectively. Real Estate Email Database is fresh and regularly updated. This way, your campaigns always reach active contacts. Also, the affordable price makes it suitable for businesses of any size.

Therefore, you can boost sales without spending too much. Furthermore, this Email database supports various marketing goals. For example, you can promote property listings, offer investment deals, or build long-term client relationships. Finally, choose our database to enjoy better leads, higher ROI, and steady business growth.

Thorsten-Voice (Thorsten-21.02-neutral) is a neutrally spoken voice dataset recorded by Thorsten Müller, audio optimized by Dominik Kreutz and licenced under CC0 to provide it for anybody without any financial or licence struggle.

"I contribute my personal voice as a person believing in a world where all people are equal. No matter of gender, sexual orientation, religion, skin color and geocoordinates of birth location. A global world where everybody is warmly welcome on any place on this planet and open and free knowledge and education is available to everyone." (Thorsten Müller)

Dataset details:

• ljspeech file and directory structure
• 22.668 recorded phrases (wav files)
• more than 23 hours of pure audio
• samplerate 22.050Hz
• mono
• normalized to -24dB
• phrase length (min/avg/max): 2 / 52 / 180 chars
• no silence at beginning/ending
• avg spoken chars per second: 14
• sentences with question mark: 2.780
• sentences with exclamation mark: 1.840

See more details on my Github page or Thorsten-Voice project website.