The Data Visualisation Catalogue

DECEMBER 13, 2021

First, locate the value scale axis and the category axis, to identify what is being visualised. Each category is assigned its own bar and the length of each bar is proportional to the value it represents. Colour-coding can be assigned to the bars to distinguish each category in the dataset. ” in each category.

Visualization 120

Visualization Experimentation Publishing Interactive 120

O'Reilly on Data

OCTOBER 17, 2023

Attempts to define prompt engineering fall into two categories: Coming up with clever prompts to get an AI to do what you want while sitting at your laptop. It’s not programming as such, but creating a prompt that produces professional-quality output is much more like programming than “a tarsier fighting with a python.”

Interactive 250

Interactive Software Testing IT 250

FineReport

SEPTEMBER 2, 2020

Free data visualization tools are professional in different categories: dashboard, chart, maps, network, and so on. FineReport provides more than 19 categories and 50+ styles of HTML5 charts. Category : Reports and Dashboards. Category : charts and graphs. Category : charts and graphs. From FineReport. From Google.

Visualization 131

Visualization Interactive Dashboards Reporting 131

Data Science 101

OCTOBER 24, 2023

Many of those are fairly normal Python and even web-related tasks (our documentation system automatically builds our website as the code changes). There are a LOT of differences from YNAB, but the overall idea is the same: put money into “spending categories” and then use those as mini bank accounts for everything you do in life.

Testing 105

Testing Software IT Modeling 105

AWS Big Data

MARCH 29, 2024

The rich visualization capabilities of QuickSight allow you to analyze trends in metrics like worker utilization, error categories, throughput, and more. or later AWS accounts for the monitoring account and source account An AWS named profile for the monitoring account and source account The AWS CDK Toolkit 2.87.0

Metrics 103

Metrics Visualization Dashboards Interactive 103

Data Science 101

MAY 20, 2019

The exam can be broken down into 4 components: Machine Learning, Azure ML Studio, Azure Products, and Python. There were a number of questions from this category. Python was the language of choice for the exam, so focus on it. Scikit-learn Azure Machine Learning SDK for Python Hyperparameters. Machine Learning.

Data Science 111

Data Science Machine Learning Deep Learning Testing 111

AWS Big Data

MARCH 12, 2024

You can download the dataset or recreate it locally using the Python script provided in the repository. The X-axis shows the data quality ruleset tags as categories. Dataset details The test dataset contains 104 columns and 1 million rows stored in Parquet format. Choose Apply. The Cost and Usage report will be updated.

Data Quality 87

Data Quality Measurement Testing Visualization 87

AWS Big Data

MARCH 4, 2024

The function uses the AWS SDK for Python (Boto3) APIs to provision the resources. Let’s add the partition field category to the Iceberg table using the AWS Glue ETL job icebergdemo1-GlueETL2-partition-evolution : ALTER TABLE glue_catalog.icebergdb1.ecomorders On the Configuration tab, choose Environment variables in the left pane.

Snapshot 110

Snapshot Data Lake Metadata Recreation/Entertainment 110

FineReport

JANUARY 5, 2020

The bar chart below shows the sales of each category of products, and the line chart above shows the annual sales of a certain category of products. In the upper right corner of the dashboard is a word cloud diagram showing the categories of Christmas gifts people most want. We can also customize the style of the flow lines.

Dashboards 95

Dashboards Sales Visualization Reporting 95

O'Reilly on Data

AUGUST 8, 2023

At its peak, ChatGPT was in very exclusive company: it’s not quite on the level of Python, Kubernetes, and Java, but it’s in the mix with AWS and React, and significantly ahead of Docker. Although large language models clearly fall into the category of NLP, we suspect that most users associate NLP with older approaches to building chatbots.

Machine Learning 182

Machine Learning Modeling Software IT 182

AWS Big Data

APRIL 24, 2023

category – This column represents the category of an item. Make sure you capture this attribute, so that your ETL logic can take appropriate action while merging it. product_id – This is the primary key column in the source data table. product_name – This is the name of the product.

Data Lake 79

Data Lake Data Governance Cost-Benefit Machine Learning 79

O'Reilly on Data

SEPTEMBER 15, 2021

When we looked at the most popular programming languages for data and AI practitioners, we didn’t see any surprises: Python was dominant (61%), followed by SQL (54%), JavaScript (32%), HTML (29%), Bash (29%), Java (24%), and R (20%). The tools category includes tools for building and maintaining data pipelines, like Kafka.

Machine Learning 363

Machine Learning Statistics Reporting Consulting 363

Smart Data Collective

JUNE 4, 2021

Programming Language (R or Python). Programmers can start with either R or Python. it is overwhelming to learn data science concepts and a general-purpose language like python at the same time. Python can be added to the skill set later. Both R (ggplot2) and python (Matplotlib) have excellent graphing capabilities.

Data Science 104

Data Science Statistics Deep Learning Machine Learning 104

MLWhiz

MAY 13, 2019

Python has a lot of constructs that are reasonably easy to learn and use in our code. args, **kwargs and decorators are some constructs that fall into this category. Then there are some constructs which always confuse us when we encounter them in our code. Then are some that even seasoned programmers are not able to understand.

Data Science 40

Data Science 40

CIO Business Intelligence

OCTOBER 13, 2023

Data architect responsibilities According to Panoply , typical data architect responsibilities include: Translating business requirements into technical specifications, including data streams, integrations, transformations, databases, and data warehouses Defining the data architecture framework, standards, and principles, including modeling, metadata, (..)

Data Architecture 127

Data Architecture Data Warehouse Statistics Visualization 127

CIO Business Intelligence

SEPTEMBER 29, 2023

Analyzing the hiring behaviors of companies on its platform, freelance work marketplace Upwork has AI to be the fastest growing category for 2023, noting that posts for generative AI jobs increased more than 1000% in Q2 2023 compared to the end of 2022, and that related searches for AI saw a more than 1500% increase during the same time.

Deep Learning 142

Deep Learning Machine Learning Modeling Consulting 142

Insight

AUGUST 12, 2019

These categories are listed in order of importance: Linux Fundamentals Data Structures and Algorithms System Design Parsing DevOps Tools It’s good to develop a wide, shallow base of knowledge first, so load balance across topics in a round-robin fashion at first. I suggest Python, but you can work in any language.

Software 65

Software Data-driven Testing Interactive 65

Data Science 101

OCTOBER 17, 2023

I’m running a series of inputs through over time to see how it handles specific categories of descriptors, modifiers, verbs, reference images with a range of affect, abstracts versus explicitly concrete direction, style suggestions, et cetera. The same happens in Midjourney, thus my daily work there.

Consulting 59

Consulting Interactive Data-driven IT 59

FineReport

DECEMBER 9, 2021

Look at your data source and divide all content into three categories: Tracked indicators: data that you will follow regularly but will not be used as performance measures. The platform uses Python script processing method to predict the customer flow of the store. Which KPIs and evaluation indicators define the task as complete?

Strategy 98

Strategy Business Intelligence KPI Key Performance Indicator 98

Domino Data Lab

MAY 1, 2019

Like JSON, YAML files can easily be read into Python as a dictionary but unlike JSON, a YAML file is human-readable, allowing easy changing of configurations all in one place. “Mawer suggests structuring yaml configuration files with the Python script names and function names that the parameters are passed into as the keys.

Machine Learning 81

Machine Learning Testing Data Science Modeling 81

FineReport

NOVEMBER 18, 2019

In FineReport, the chart’s workflow is similar to Excel, Data Preparation – Insert Chart – Select Chart Type – Select Category Axis, Series Name and Series Value – Set Chart Style. Basic Chart Production Process. Different charts. – Use Excel’s built-in charts to do some regular charts.

Visualization 81

Visualization Dashboards Reporting Sales 81

AWS Big Data

FEBRUARY 26, 2024

Install Python and jq. Complete the following steps to deploy the solution: Clone the GitHub repository to your IDE and navigate to the cloned repository’s directory:This project is structured like a standard Python project. Install Node.js, npm and the AWS CDK Toolkit. You don’t need any prior knowledge of AWS CDK.

Dashboards 61

Dashboards Testing Metrics Optimization 61

O'Reilly on Data

FEBRUARY 18, 2020

Current signals from usage on the O’Reilly online learning platform reveal: Python is preeminent. This year’s growth in Python usage was buoyed by its increasing popularity among data scientists and machine learning (ML) and artificial intelligence (AI) engineers. In programming, Python is preeminent. Figure 3 (above).

Data-driven 335

Data-driven Software Statistics Marketing 335

DataKitchen

MARCH 16, 2023

It lists forty-five metrics to track across their Operational categories: DataOps, Self-Service, ModelOps, and MLOps. It takes them too long to write SQL, python, or make a dashboard. However, these various metrics can be seen as rolling into our four categories in the table below. Forty-five metrics!

Metrics 130

Metrics Data Analytics Analytics Measurement 130

AWS Big Data

NOVEMBER 9, 2023

Data ingestion Data from various sources are grouped into two major categories: real-time ingestion and batch ingestion. else echo "dbt already installed"; fi python --version; echo "listing dbt."; local/bin/dbt --version; if [ $? -gt gt 0 ]; then pip install dbt-redshift>=1.3.0;

Data Warehouse 103

Data Warehouse Testing Data Quality Reporting 103

Smart Data Collective

OCTOBER 26, 2023

Subjects such as incident response, risk management, access control, and cryptography fall under this category. Learning and using scripting languages like PowerShell and Bash and programming languages like Python, Java, and C++ are also helpful.

Technology 92

Technology Risk Measurement IoT 92

Jet Global

JULY 2, 2019

And using Azure’s built-in U-SQL library allows businesses allows you to write code once and have it automatically parallelized for the scale you need, whether in.NET languages, R, or Python. HDInsight: When it comes to Big Data analysis, the open-source Hadoop framework remains one of the most popular options.

Data Lake 73

Data Lake Data Warehouse Big Data Machine Learning 73

Insight

JANUARY 14, 2020

Pillow is a fork of the Python Imaging Library (PIL), and is along the same lines as OpenCV. Keras is an open source deep learning API that was written in Python and runs on top of Tensorflow, so it’s a little more user-friendly and high-level than Tensorflow. You can view the documentation and check out a quick tutorial.

Metrics 58

Metrics Optimization Modeling Testing 58

Sisense

SEPTEMBER 3, 2020

Besides strong technical skills (for instance, use of Hadoop, programming in R and Python , math, statistics), data scientists should also be able to tackle open-ended questions and undirected research in ways that bring measurable business benefits to their organization.

Statistics 97

Statistics Metrics Visualization Finance 97

IBM Big Data Hub

AUGUST 28, 2023

Text classification: Useful for tasks like sentiment classification, spam filtering and topic classification, text classification involves categorizing documents into predefined classes or categories. Using programming languages like Python with high-tech platforms like NLTK and SpaCy, companies can analyze user-generated content (e.g.,

Data mining 56

Data mining Machine Learning Deep Learning Marketing 56

FineReport

MARCH 9, 2023

While Python and Excel are commonly used tools for this purpose, the learning curve for new users can be steep. How to achieve the points mentioned above and write a quarterly report effectively without creating quarterly reports from scratch everytime? Fortunately, FineReport is an excellent graph maker !

Reporting 52

Reporting Visualization KPI Sales 52

Sisense

JUNE 24, 2019

While most of these tools can be used with any cloud service, we’ll look at two broad categories: general cloud automation tools and AWS automation tools, the latter dealing specifically with cloud offerings from the Seattle tech giant.

Management 75

Management Software Risk IT 75

Occam's Razor

OCTOBER 21, 2013

It was such a great way to see what competitors were doing or where I was beating them on paid or organic or brand or category terms. We can guess our brand terms and product keywords, but the wonderful harvest of category-type, and beyond, keywords is gone. Another alternative is to download it automatically using Python.

Optimization 154

Optimization Reporting Experimentation Metrics 154

O'Reilly on Data

MARCH 18, 2020

The sample is far from tech-laden, however: the only other explicit technology category—“Computers, Electronics, & Hardware”—accounts for less than 7% of the sample. The “Other” category (~22%) comprises 12 separate industries. not to mention an accessible lingua franca —Python—the bar for entry is actually pretty low.

Enterprise 309

Enterprise Deep Learning Data Governance Risk 309

AWS Big Data

MARCH 25, 2024

FMs can analyze each answer and assign a category of user satisfaction. With Amazon Managed Service for Apache Flink Studio , you can build and run Apache Flink stream processing applications using standard SQL, Python, and Scala in an interactive notebook. You can put FMs to work for users’ sentiment analysis.

Data Lake 88

Data Lake Unstructured Data Management Modeling 88

O'Reilly on Data

OCTOBER 19, 2021

This is both frustrating for companies that would prefer making ML an ordinary, fuss-free value-generating function like software engineering, as well as exciting for vendors who see the opportunity to create buzz around a new category of enterprise software. The new category is often called MLOps. Why: Data Makes It Different.

IT 346

IT Testing Experimentation Software 346

Domino Data Lab

JANUARY 6, 2019

or Julia (winner of 2018 Wilkinson prize ), most people are focusing on Python for introduction to data science. I used to do weekly trend analysis of which titles in this category got the most usage online for O’Reilly Media: Here are the best ones roughly in order of most recency + usage: Python for Data Analysis, 2nd Edition.

Data Science 56

Data Science Machine Learning Reporting Visualization 56