teleren/devto huggingface dataset:
Online Data Entry Services AscentBPO
Tags: dataentryservices, dataentryprojects, onlinedataentryservices
Published: 2023-08-08 11:27:54

## Secure and Fast online data entry services

Ascent BPO offers customized and cost-effective [online data entry services](https://www.ascentbpo.com/online-data-entry-services) to clients from different business verticals. Businesses and entrepreneurs can save a lot of time, money, effort, and resources by [outsourcing online data entry services](https://www.ascentbpo.com/data-entry-projects-outsourcing-services) from us. By outsourcing this service, your business will be able to witness reduced overhead costs, accuracy, and confidentiality. We, Ascent BPO, are an ideal company that can meet all your online data entry requirements with affordability.

### Choose us as your ideal online data entry outsourcing partner

We have the expertise and experience that are required to be your suitable online [data entry projects outsourcing](https://www.ascentbpo.com/data-entry-projects-outsourcing-services) partner. Our company’s policy is to guarantee the security of your critical data. We are here to provide online data entry for images, receipts and bills, invoices, audio transcriptions, legal documents, business card information, and so on. Connect with us to know how we can help you deal with data challenges.

### Why Choose Ascent BPO for Online Data Entry Services?

Outsourcing the online [data entry service](https://www.ascentbpo.com/data-entry-services) from us means an excellent team of data entry our online data entry service professionals that maintain the privacy of the work. We have been in this data entry service industry for many years. So, we can understand the client’s specific requirements and provide data entry services accordingly. Some of the main highlights of our services are:

With us, you can get data entry experts that have immense experience in different industries.

We help your business in saving additional save additional costs that spends on hiring in-house data entry staff.

Our team of online data entry professionals ensures 100% accuracy as we use the very latest technology.

We understand privacy matters so we ensure 100% security and confidentiality of your business’s data. 

Our online data entry service is specially designed to suit every industry.

**Source:** [Online Data Entry Services](https://www.ascentbpo.com/online-data-entry-services)

**Our More Links:**  [data entry outsourcing](https://www.ascentbpo.com/data-entry-projects-outsourcing-services) | [data entry project work from home](https://www.ascentbpo.com/are-you-looking-for-data-entry-projects-from-home) | [direct data entry projects with company](https://www.ascentbpo.com/direct-data-entry-projects-with-company) | [data entry projects from direct client](https://www.ascentbpo.com/how-to-get-data-entry-projects-from-clients) | [data entry projects outsourcing](https://www.ascentbpo.com/) | [data entry projects online](https://www.ascentbpo.com/data-entry-projects) | [bpo data entry projects](https://www.ascentbpo.com/data-entry-projects) | [data entry project provider](https://www.ascentbpo.com/)
What is predictive modelling in Data Analyst?
Tags: writing
Published: 2023-08-08 11:18:21

Predictive modeling in data analysis refers to the practice of using statistical and machine learning techniques to create models that can make predictions about future outcomes based on historical data and patterns. Data analysts employ predictive modeling to forecast trends, identify potential opportunities, mitigate risks, and make informed decisions. This process involves utilizing algorithms to analyze past data, uncover relationships, and create a model that can generalize these relationships to make accurate predictions on new, unseen data.

**Predictive modeling typically involves the following steps:**

1. **Data Collection and Preparation**: Analysts gather relevant historical data and clean, preprocess, and transform it into a suitable format for analysis. This may include handling missing values, normalizing data, and selecting features.

2. **Feature Selection**: Analysts identify the most relevant features or variables that could impact the prediction. Careful feature selection enhances the model's accuracy and reduces noise.

3. **Model Selection**: Analysts choose appropriate algorithms or methods based on the nature of the data and the prediction task. Common algorithms include linear regression, decision trees, random forests, support vector machines, and neural networks.

4. **Training the Model**: The selected model is trained on a portion of the historical data, learning the relationships between the input features and the target variable.

5. **Model Evaluation**: The model's performance is assessed using validation techniques, such as cross-validation or holdout testing, to ensure that it can generalize well to new, unseen data.

6. **Fine-Tuning**: Parameters of the model are adjusted to optimize performance, aiming to strike a balance between overfitting (model performs well on training data but poorly on new data) and underfitting (model's performance is consistently poor).

7. **Predictions**: Once the model is trained and evaluated, it can be used to make predictions on new data, providing insights into future outcomes or trends.

Predictive modeling is widely used across industries for a variety of applications, such as sales forecasting, customer behavior prediction, risk assessment, fraud detection, and healthcare outcomes prediction. Its power lies in its ability to leverage historical data to provide probabilistic insights about future events. Apart from it by obtaining [Data Analyst Certification](https://www.edureka.co/masters-program/data-analyst-certification), you can advance your career as a Data Analyst. With this course, you can demonstrate your expertise in the basics of you'll gain the knowledge and expertise demanded by the industry, opening up exciting career opportunities in the field of data analytics, many more fundamental concepts.

Data analysts play a crucial role in designing, building, and fine-tuning predictive models, enabling organizations to make proactive decisions and strategies based on data-driven insights.
KDataStore: my enhanced DataStore
Published: 2023-08-08 11:11:37

`KDataStore` is my personal **local persistent Android storage solution** that developed based on Jetpack's [DataStore](https://developer.android.com/topic/libraries/architecture/datastore)
The emphasis on optimizations is as follows:
- Singleton mode.
- Generating `key` through delegation.
- Adapting `MutableStateFlow` for real-time observation, synchronous reading and writing with memory, and asynchronous writing to disk.
- Backing up data to handle exceptions.

See [my blog](https://shawxingkwok.github.io/ITWorks/docs/android/kdatastore/en/) for detailed information.
Open Source ABCs: Evolution
Tags: opensource, discuss, 100daysofoss
Published: 2023-08-08 10:29:00

---
title: Open Source ABCs: Evolution
published: true
description: Join our #100DaysOfOSS blog series as we explore the world of Open Source Software (OSS) from A to Z! Every week, we'll discuss two new letters of the English alphabet. Share your thoughts, ideas, and favorite OSS projects for each letter. Let's celebrate the power of open source together! 
tags: opensource, discuss, 100DaysOfOSS
cover_image: https://dev-to-uploads.s3.amazonaws.com/uploads/articles/fxwg4ygmybnni1tpwdx3.png
# Use a ratio of 100:42 for best results.
published_at: 2023-08-08 10:29 +0000
series: 100DaysOfOSS
canonical_url: https://opensauced.pizza/docs/community-resources/open-source-abcs-evolution/
---

Welcome to our [#100DaysOfOSS series](https://dev.to/opensauced/100daysofoss-growing-skills-and-real-world-experience-3o5k). Until October 31, we'll be doing  Open Source Software (OSS) terms from A to Z. We'll be diving into a different letter of the English alphabet, uncovering OSS concepts, and sharing our thoughts on them.

Today, we're covering the letter "E" for Evolution. 

**Evolution**: Open-source projects are known for their evolutionary nature. As more contributors join, the software evolves over time, incorporating new features, improvements, and bug fixes.

Now, we want to hear from you! What other OSS terms can you think of that start with the letter "E"? 

Remember to use the hashtag #100DaysOfOSS if you share on social media, and don't forget to tag us [@saucedopen](https://twitter.com/saucedopen) so we can follow along.
Challenge: Dynamic Emoji Page
Published: 2023-08-08 10:18:28

## Challenge: Dynamic Emoji Page

![Image description](https://dev-to-uploads.s3.amazonaws.com/uploads/articles/0h0hsbjqd5uxzvl01hvd.png)

Create a Next.js application that generates a dynamic page for each emoji, where the URL structure is based on the emoji's shortcode. For example, the page for the "😄" emoji would be accessible at 
> /emoji/joy.

**Requirements:**

- Create a JSON file containing a list of emojis, each with a shortcode and emoji property. (You can find a list of emojis and their shortcodes online.)
- Build a homepage that lists all the available emojis with their shortcodes and displays the emoji itself.
- Clicking on an emoji on the homepage should navigate to its dynamic page.
- Create a dynamic page for each emoji using Next.js routing. The page should display the emoji, its shortcode, and a fun fact about it.
**Bonus Challenges:**

- Implement a search functionality on the homepage that allows users to filter emojis by name or shortcode.
- Add a random emoji button on the homepage that navigates to a random emoji's dynamic page.
- Use CSS animations or transitions to make the emoji interactions more engaging.
Deploy the application to a hosting platform like Vercel or Netlify.
**Hints:**

- Use Next.js's dynamic routing feature to create dynamic pages based on the emoji shortcode.
- Utilize query parameters or route parameters to pass data to the dynamic pages.
- Use CSS-in-JS libraries like styled-components or CSS modules to style your components.

This challenge will test the developer's knowledge of dynamic routing, working with JSON data, creating reusable components, and using CSS for styling. It's a creative and engaging way to explore Next.js capabilities while having fun with emojis!
No-Code and Low-Code for Payroll Software Development
Tags: productivity, opensource, dotnet, payroll
Published: 2023-08-08 10:03:48

While this promise sounds good, pure no-code/low-code solutions often reach their limits when it comes to designing complex solutions. Things get exciting when a programming interface is also available.

With the [Payroll Engine](https://github.com/Payroll-Engine/), regulations (for a country, an industry, a pension fund, company-specific additions, etc.) can be developed completely autonomously using JSON configuration and a scripting programming interface.

![Payroll automation](https://dev-to-uploads.s3.amazonaws.com/uploads/articles/isjy6b85l5lnxgxyggpe.png)

The test-driven approach ensures a documented demarcation between stakeholders and provides assurance that the solution meets customer requirements. The test data also serves as a basis for future enhancements.

In the Payroll Engine development process, the various implementation approaches are distributed among the respective qualified developers.

|  | User | Task | Technical skills  | Outcome |
|:--|:--|:--|:--|:--|
| No-code | **Regulation Owner** | Capture requirements and test regulations | JSON | Case-Test, Payrun-Test, Report-Test |
| Low-code | **Regulation Builder** | Design and develop regulations | JSON, C# Beginner | Regulation |
| Code | **Regulation Developer** | Develop features | JSON, C# Intermediate | Case-Action, Regulation, Report |

Since `Regulation Builder` requires minimal C# knowledge (method calls), a tech-savvy `Regulation Owner` can develop the application themselves. The use of `Regulation Developer` becomes necessary when the functionality is not available in the payroll engine's regulation ecosystem.

The combination of no-code/low-code and custom programming enables Payroll Providers to meet even the most complex customer requirements. All at an unprecedented development speed.

The excitement this customization creates with customers quickly motivates payroll professionals to learn JSON configuration and basic coding skills. Payroll knowledge and experience remains a mandatory requirement for the `Regulation Builder`.

Learn more about [payroll automation](https://github.com/Payroll-Engine/PayrollEngine/wiki/Automation).
Advantages Of Using Agens SQL Over PostgreSQL
Tags: bitnine, apacheage, agenssql, postgressql
Published: 2023-08-08 10:00:26


Here are some key advantages that AgensSQL (AgensGraph) has over PostgreSQL, highlighting its special traits and prowess as a potent multi-model graph database.

**I. Native Graph Data Model Support:**

One of AgensSQL's key benefits is its built-in support for the graph data model, which enables programmers to more intuitively depict intricate relationships and interconnected data structures. AgensSQL divides data into vertices, or nodes, and edges, or relationships, which can each include any number of characteristics. It is simpler to represent and analyze complex real-world circumstances using this property
graph paradigm.


**II. Hierarchical Graph Label Organization:**

By using labels, AgensSQL's hierarchical graph label structure makes it possible to categorize vertices and edges. With the help of this feature, data is better organized and efficient querying based on different vertex and edge types is made possible. A versatile approach to describe data, hierarchical labels are ideal for applications with changing data structures.


**III. Integration of Cypher Query Language:**

The Cypher query language, a potent and expressive language created especially for graph databases, is integrated with AgensSQL. Developers may easily create intricate graph queries using Cypher thanks to its simple and understandable syntax. Cypher is a crucial tool for graph-based analytics and insights because it makes querying graph data more effective and manageable.


**IV. Seamless Combination of Relational and Graph Data Models:**

AgensSQL's capacity to integrate the benefits of both relational and graph data models into a single database is a key benefit. In contrast to PostgreSQL, which specializes at
handling structured and tabular data, AgensSQL expands PostgreSQL's capabilities to manage connected graph data. With the help of this hybrid approach, developers can combine the advantages of the two models to provide a complete answer for
applications with various data needs.


**V. Advanced Graph Analytics:**

With a comprehensive collection of built-in graph algorithms, AgensSQL enables developers to execute complex graph analytics right on the database. With the use of algorithms like shortest path, related components, centrality, and community recognition, it is now possible to discover new patterns and connections in the data.


**VI. Efficient Handling of Complex Data Environments:**

Developers may manage and query complicated data environments with both relational and graph data quickly and effectively using AgensSQL. Applications in social networks, recommendation systems, supply chain management, fraud detection, and many other fields where data linkages are important would particularly benefit from this capability.
5 Essential Daily Habits to Elevate Your React Developer Productivity
Tags: javascript, react, productivity, development
Published: 2023-08-08 09:17:48

## Introduction

In the fast-paced world of software development, productivity is key to success. As a React developer, adopting effective daily habits can significantly enhance your efficiency, creativity, and overall output. In this blog, we'll delve into the essential habits that can help you streamline your workflow and become a more productive React developer.

## 1.Start with a Clear Plan

Every productive day starts with a well-defined plan. Before diving into your coding tasks, take a few minutes to outline your goals for the day. Identify the features you need to work on, any bugs that need fixing, and any research or learning you plan to do. This roadmap will provide you with a clear direction and help you avoid unnecessary distractions.

## 2.Mindful Morning Routine

A productive day often begins with a mindful morning routine. This could involve activities like meditation, exercise, journaling, or reading. These practices can help you start the day with a clear mind, ready to tackle complex coding challenges.

## 3.Prioritize Tasks

Not all tasks are created equal. Use the Eisenhower Matrix or other task prioritization techniques to determine which tasks are urgent and important, allowing you to focus your energy on high-impact activities. Prioritization prevents you from getting overwhelmed and ensures you tackle the most crucial tasks first.

## 4.Break Down Projects

Large projects can be intimidating, leading to procrastination. Break down bigger tasks into smaller, manageable chunks. This approach makes the work feel less daunting and allows you to see progress more easily, keeping you motivated and productive.

## 5.Pomodoro Technique

The Pomodoro Technique involves working in focused intervals, usually 25 minutes, followed by a 5-minute break. After completing four cycles, take a longer break of about 15-30 minutes. This technique helps maintain your concentration and prevents burnout, especially during extended coding sessions.

## Conclusion

Becoming a productive React developer isn't solely about writing code. It's about adopting a set of mindful and effective habits that empower you to work smarter, not harder. By starting your day with a plan, prioritizing tasks, integrating focused work intervals, and continuously learning, you can enhance your productivity, creativity, and overall satisfaction in your development journey. Remember, productivity is a journey, and these habits will help you stay on the path to success.
PHP/Laravel/JS Countdown Day, Hour, Minute, Second using JS
Published: 2023-08-08 09:09:34

Here I am showing for Laravel. You can pass you value like this -
```
<input type="hidden" value="{{ @$data['event']->start }}" id="event_start_date">
```

Add this JS on you page.

```
<script>
    function updateCountdown(eventStartDate) {
      const now = new Date();
      const targetDate = new Date(eventStartDate);
      const timeDifference = targetDate - now;

      if (timeDifference > 0) {
        const days = Math.floor(timeDifference / (1000 * 60 * 60 * 24));
        const hours = Math.floor((timeDifference % (1000 * 60 * 60 * 24)) / (1000 * 60 * 60));
        const minutes = Math.floor((timeDifference % (1000 * 60 * 60)) / (1000 * 60));
        const seconds = Math.floor((timeDifference % (1000 * 60)) / 1000);

        $('#countdown_day').text(days);
        $('#countdown_hour').text(hours);
        $('#countdown_minute').text(minutes);
        $('#countdown_second').text(seconds);
      } else {
        document.getElementById("countdown").innerHTML = "<p>Event has already started!</p>";
      }
    }

    const eventStartDate = $('#event_start_date').val();
    console.log(eventStartDate);
    updateCountdown(eventStartDate);

    // Update the countdown every second
    setInterval(() => {
      updateCountdown(eventStartDate);
    }, 1000);
  </script>
```

You can change `$('#event_start_date').val();` for your any data. date format `2023-08-08 10:00:00`
MongoDB Query date by _id field
Tags: mongodb, database
Published: 2023-08-19 14:38:57

---
title: MongoDB Query date by _id field
published: true
date: 2023-08-08 09:09:09 UTC
tags: mongodb, database
canonical_url: https://whyboobo.com/tutorials/mongodb-query-date-by-id/
---

In order to make a query based on \_id, comparing dates, you can use `$convert` function to extract the date from `ObjectId`.

Example:

```
$convert: { input: "$_id", to: "date" } 

```

To query dates comparing between start and end time:

```
db.collection.find({
  "$expr":{
    "$and":[
      {"$gte":[{"$convert":{"input":"$_id","to":"date"}}, ISODate("2023-08-01T00:00:00.000Z")]},
      {"$lte":[{"$convert":{"input":"$_id","to":"date"}}, ISODate("2023-08-02T11:59:59.999Z")]}
    ]
  }
})

```

The shorthand version using `$toDate` function helps you achieve the same result:

```
db.collection.find({
  "$expr":{
    "$and":[
      {"$gte":[{"$toDate":"$_id"}, ISODate("2023-08-01T00:00:00.000Z")]},
      {"$lte":[{"$toDate":"$_id"},ISODate("2023-08-02T11:59:59.999Z")]}
    ]
  }
})

```

[Source](https://stackoverflow.com/a/51165575/4471897)

Image by [Vikash Kr Singh](https://pixabay.com/users/vikashkr50-35301037/?utm_source=link-attribution&utm_medium=referral&utm_campaign=image&utm_content=8167272) from [Pixabay](https://pixabay.com//?utm_source=link-attribution&utm_medium=referral&utm_campaign=image&utm_content=8167272)
How to find the size of a table in SQL?
Tags: sql, postgres, database
Published: 2023-08-19 14:38:23

---
title: How to find the size of a table in SQL?
published: true
date: 2023-08-08 09:09:09 UTC
tags: sql, postgresql, database
canonical_url: https://whyboobo.com/tutorials/sql-table-size/
---

As a SQL developer or database administrator, it is essential to have a good understanding of the size of your database tables. Knowing the size of a table can help you optimize your database performance, plan for storage requirements, and troubleshoot issues related to database performance. In this blog post, we will guide you through the process of finding the size of a table in SQL.

Here’s how you can see the size table sizes for **public** schema

```
SELECT
	table_name,
	pg_size_pretty(pg_relation_size(quote_ident(table_name))),
	pg_relation_size(quote_ident(table_name))
FROM
	information_schema.tables
WHERE
	table_schema = 'public'
ORDER BY
	3 DESC;

```

See sizes of tables of all schemas:

```
SELECT
	schema_name,
	relname,
	pg_size_pretty(table_size) AS size,
	table_size
FROM (
	SELECT
		pg_catalog.pg_namespace.nspname AS schema_name,
		relname,
		pg_relation_size(pg_catalog.pg_class.oid) AS table_size
	FROM
		pg_catalog.pg_class
		JOIN pg_catalog.pg_namespace ON relnamespace = pg_catalog.pg_namespace.oid) t
WHERE
	schema_name NOT LIKE 'pg_%'
ORDER BY
	table_size DESC;

```