Towards AI

APRIL 3, 2024

Let’s work through 3 steps together on how to do this: cleaning a datasetcreating a choropleth mapcreating an animated choropleth map that illustrates data over time Let’s get to it! The file we want to download is the one highlighted below: This UN dataset models projected population growth for the years 2022 to 2100.

Data Visualization 105

Data Visualization Python AI AI 105

Towards AI

FEBRUARY 28, 2024

Super quick charts and maps from the Global Peace Index CSV With data analysis, one of the most challenging things to do is to transform raw numbers into meaningful stories. GPT-4 stands out for its on-the-fly data visualization capabilities. Next, we can initiate GPT-4’s instant data analysis feature.

Data Analysis 102

Data Analysis Data Analysis Data Visualization AI 102

Towards AI

FEBRUARY 12, 2024

Dall-E generated image: impresionist painting of two similar dashboards on two computer screens For the past 8 months, I have been incessant on optimizing GPT-4 prompt engineering for Python data visualization code. I now have a solid grasp on what works and what doesn’t when prompting for interactive data visualizations.

Data Visualization 105

Data Visualization Python AI AI 105

Towards AI

NOVEMBER 15, 2023

Download the pdf version, check out GitHub, and visit the code in Colab. A data science book: Consider gifting a popular and highly recommended book on data science, such as "Python for Data Analysis" by Wes McKinney or "The Elements of Statistical Learning" by Trevor Hastie, Robert Tibshirani, and Jerome Friedman.

Data Scientist 131

Data Scientist Data Science Data Visualization Data Analysis 131

Data Science Dojo

JUNE 7, 2024

Advanced Data Analysis GPT-4o’s data analysis capabilities are robust. This feature is valuable for businesses and researchers who need to analyze complex data efficiently. GPT Store The GPT Store is an innovative feature that allows users to access and download various plugins and extensions for GPT-4o.

Data Analysis 195

Data Analysis Data Analysis AI AI 195

DrivenData Labs

NOVEMBER 14, 2023

If you are unsure whether a specific dataset meets the competition data requirement, just ask in the competition forum. However, MODIS provides data more frequently than ASTER. For example, VIIRS has higher resolution for the thermal bands that are useful for detecting forest fires.

Python 162

Python AWS Azure Data Analysis 162

Dataconomy

APRIL 6, 2023

To democratize data, organizations can identify data sources and create a centralized data repository This might involve creating user-friendly data visualization tools, offering training on data analysis and visualization, or creating data portals that allow users to easily access and download data.

Data Governance 118

Data Governance Data Silos Data Analysis Data Analysis 118

Mlearning.ai

MARCH 4, 2023

Exploratory Data Analysis on Stock Market Data Photo by Lukas Blazek on Unsplash Exploratory Data Analysis (EDA) is a crucial step in data science projects. It helps in understanding the underlying patterns and relationships in the data. The dataset can be downloaded from Kaggle. csv') 2.

Exploratory Data Analysis 52

Exploratory Data Analysis Data Analysis Data Analysis EDA 52

Smart Data Collective

SEPTEMBER 26, 2021

The format can be classified by size, but you can choose to organize data horizontally or vertically/by column. It doesn’t matter if you use graphs or charts, you need to get better at data visualization. It doesn’t matter if you use graphs or charts, you need to get better at data visualization.

Database 130

Database Data Visualization Big Data Big Data 130

Towards AI

APRIL 7, 2024

Figure 3: The required python libraries The problem presented to us is a predictive analysis problem which means that we will be heavily involved in finding patterns and predictions rather than seeking recommendations. One important stage of any data analysis/science project is EDA. Exploratory Data Analysis is a pre-study.

Machine Learning 124

Machine Learning Machine Learning Exploratory Data Analysis EDA 124

NYU Center for Data Science

FEBRUARY 1, 2023

While IDOC data have been made publicly available for some time, the new tool allows the public to easily interact with the information as well as pull up filterable charts that can be downloaded as images or spreadsheets. What impact do you hope will this project have on the future of data science in tackling social justice issues?

Data Visualization 96

Data Visualization Data Science Data Analysis Data Analysis 96

Towards AI

FEBRUARY 16, 2023

Data Analysis Project Guide — Use Pandas power to get valuable information from your data Photo by path digital on UnsplashThe Pandas library offers a wide range of capabilities for data science, including cleaning, visualization, and exploration. A good data analysis project is all about asking questions.

Data Analysis 52

Data Analysis Data Analysis Data Science Data Visualization 52

Towards AI

OCTOBER 31, 2023

Exploratory Data Analysis Next, we will create visualizations to uncover some of the most important information in our data. At the same time, the number of rows decreased slightly to 160,454, a result of duplicate removal. Therefore, below is the monthly average price of HDB flats from January 2017 to August 2023.

Exploratory Data Analysis 116

Exploratory Data Analysis Tableau Data Visualization Data Analysis 116

Towards AI

JUNE 27, 2023

Offering features like TensorBoard for data visualization and TensorFlow Extended (TFX) for implementing production-ready ML pipelines, TensorFlow stands out as a comprehensive solution for both beginners and seasoned professionals in the realm of machine learning.

Machine Learning 98

Machine Learning Machine Learning ML ML 98

Pickl AI

MARCH 21, 2025

Whether you are working on data analysis, artificial intelligence, web development, or automation, Python has libraries to support your needs. Some popular libraries include: NumPy and Pandas for data analysis. What are the key features of Python make it ideal for data science? TensorFlow for machine learning.

Python 52

Python Data Science Machine Learning Machine Learning 52

Pickl AI

JULY 28, 2023

A well-organized portfolio demonstrates your ability to work with data and draw valuable insights. Here are the steps to build an impressive data analyst portfolio: Select Relevant Projects: Choose a variety of data analysis projects that highlight your skills and cover different aspects of data analysis.

Data Analyst 52

Data Analyst Data Analysis Data Analysis Data Visualization 52

Ocean Protocol

NOVEMBER 21, 2023

Objectives The challenge embraced several data analysis dimensions: from data cleaning and exploratory data analysis (EDA) to insightful data visualization and predictive modeling.

Data Analysis 59

Data Analysis Data Analysis EDA Exploratory Data Analysis 59

Dataconomy

APRIL 6, 2023

To democratize data, organizations can identify data sources and create a centralized data repository This might involve creating user-friendly data visualization tools, offering training on data analysis and visualization, or creating data portals that allow users to easily access and download data.

Data Governance 70

Data Governance Data Silos Data Analysis Data Analysis 70

Towards AI

FEBRUARY 16, 2024

The data can be downloaded from Our World In Data (HERE). I know, crazy, but they are very similar. One contains per-capita CO2 emissions by country and the other displays total volume CO2 emissions by by country.

Python 116

Python AI AI Data Visualization 116

Ocean Protocol

SEPTEMBER 29, 2023

This report took the data set provided in the challenge, as well as external data feeds and alternative sources. In the link above, you will find great detail in data visualization, script explanation, use of neural networks, and several different iterations of predictive analytics for each category of NFL player.

Cross Validation 59

Cross Validation Predictive Analytics Exploratory Data Analysis EDA 59

ODSC - Open Data Science

JANUARY 5, 2024

It is a library for array manipulation that has been downloaded hundreds of times per month and stands at over 25,000 stars on GitHub. What makes it popular is that it is used in a wide variety of fields, including data science, machine learning, and computational physics. GroupBy: A tool for grouping data based on common values.

Python 52

Python K-nearest Neighbors Data Science Data Visualization 52

phData

MARCH 3, 2023

When you download KNIME Analytics Platform for the first time, you will no doubt notice the sheer number of nodes available to use in your workflows. This is where KNIME truly shines and sets itself apart from its competitors: the scores of free extensions available for download.

Database 52

Database Python Tableau Analytics 52

Pickl AI

NOVEMBER 8, 2023

From reading data in various formats like CSV, Excel, and SQL to filtering, sorting, and aggregating data, this cheat sheet covers essential operations. It’s a go-to reference for quick and effective data handling, enabling professionals to streamline their data analysis processes.

Data Scientist 52

Data Scientist Python SQL Data Visualization 52

Data Science Blog

FEBRUARY 23, 2023

Those researches are often conducted on easily available benchmark datasets which you can easily download, often with corresponding ground truth data (label data) necessary for training. If you can analyze data with statistical knowledge or unsupervised machine learning, just extracting data without labeling would be enough.

Supervised Learning 264

Supervised Learning Machine Learning Machine Learning Deep Learning 264

Cambridge Intelligence

MARCH 29, 2023

You’ll find links to each survey below And because we’re the leading supplier of data visualization toolkits that make the world safer, I’ll also share what we’re doing to help the CEOs of the most successful global organizations we work with. Visualization transforms the data into something that anyone can explore and understand.

Data Visualization 52

Data Visualization Data Analysis Data Analysis Big Data 52

Tableau

SEPTEMBER 14, 2022

Or how exciting it was anytime a journalist included any form of data analysis in a story? Now, of course, interactive data visualizations are commonplace. Sure, static data still happens, but the world of data analytics has come a long way. Viz of the Day visualizations Looking for something specific?

Tableau 52

Tableau Data Visualization Analytics Analytics 52

Tableau

SEPTEMBER 14, 2022

Or how exciting it was anytime a journalist included any form of data analysis in a story? Now, of course, interactive data visualizations are commonplace. Sure, static data still happens, but the world of data analytics has come a long way. Viz of the Day visualizations Looking for something specific?

Tableau 52

Tableau Data Visualization Analytics Analytics 52

Mlearning.ai

AUGUST 10, 2023

Reporting Data In this section, we have to download, connect and analyze the data on PowerBI. Therefore, for the sake of brevity, we have to download the file brand_cars_dashboard.pbix from the project’s GitHub repository. Figure 11: Project’s GitHub Now, we have to click on the icon of “download”.

Business Intelligence 52

Business Intelligence Business Intelligence ETL Power BI 52

Cambridge Intelligence

OCTOBER 22, 2024

At every stage of an investigation workflow, the analysts need to understand the underlying story – or narrative – of the data they’re working with. Once an analyst understands that data narrative, they need to explain it to teammates, stakeholders and others. Introducing the annotations layer.

Data Visualization 52

Data Visualization Machine Learning Machine Learning AI 52

IBM Journey to AI blog

JUNE 5, 2024

App analytics include: App usage analytics , which show app usage patterns (such as daily and monthly active users, most- and least-used features and geographical distribution of downloads). AI in SaaS analytics Most industries have had to reckon with AI proliferation and AI-driven business practices to some extent.

Analytics 94

Analytics Analytics AI AI 94

Flipboard

MARCH 22, 2023

Create a new data flow To create your data flow, complete the following steps: On the SageMaker console, choose Amazon SageMaker Studio in the navigation pane. On the Studio Home page, choose Import & prepare data visually. Alternatively, on the File drop-down, choose New , then choose SageMaker Data Wrangler Flow.

AWS 123

AWS Data Preparation Azure ML 123

Cambridge Intelligence

MAY 8, 2023

Data analysis is the answer 91% of respondents agree that better capture and analysis of detection data is one of the most effective tools to prevent successful ransomware attacks. We know from our most successful customers in the cybersecurity industry that data visualization plays a powerful role at every stage.

Data Visualization 52

Data Visualization Data Analysis Data Analysis Analytics 52

Tableau

NOVEMBER 29, 2021

Data analysis and data communication are fundamental to the way people and businesses understand concepts, make decisions, and create solutions. Anyone who communicates with data needs to be mindful of the impact of the stories they tell. Kristin Adderson. November 29, 2021 - 5:26pm. December 13, 2021.

Tableau 105

Tableau Data Scientist Data Visualization Data Analysis 105

Tableau

NOVEMBER 29, 2021

Data analysis and data communication are fundamental to the way people and businesses understand concepts, make decisions, and create solutions. . Anyone who communicates with data needs to be mindful of the impact of the stories they tell. Kristin Adderson. November 29, 2021 - 5:26pm. December 13, 2021.

Tableau 98

Tableau Data Scientist Data Visualization Data Analysis 98

ODSC - Open Data Science

JUNE 2, 2023

Data visualization is a critical way for anyone to turn endless rows of data into easy-to-understand results through dynamic and understandable visuals. And with augmented analytics (and embedded insights), anyone can become a citizen data scientist, regardless of their advanced analytics expertise.

Augmented Analytics 52

Augmented Analytics Analytics Analytics Business Intelligence 52

learn data science

DECEMBER 30, 2020

The main things are Performance, Prediction, Summary View’s Correlation Mode, Text Data Wrangling UI, and Summarize Table. Performance But the performance to me is probably the most important feature for any data analysis tools. Summary View The summary view is the first thing you see once you import your data into Exploratory.

Data Wrangling 52

Data Wrangling Hypothesis Testing Analytics Analytics 52

Heartbeat

JANUARY 26, 2024

With its user-friendly interface and powerful capabilities, Shiny empowers data scientists and analysts to create custom web-based solutions for data visualization, analysis, and decision support, all within the R ecosystem. Shiny acts as a bridge between the web and R's data analysis capabilities.

Natural Language Processing 52

Natural Language Processing Deep Learning Deep Learning Data Scientist 52