Discover and read the best of Twitter Threads about #datavisualization
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🔥 AI is changing the world faster than ever. Here are some of the most mind-blowing AI news from last week that you don't want to miss:
🧵 A thread
🧵 A thread
1/ AI Builder: a new app by Microsoft that lets you create and train AI models without coding. Use them for image recognition, text analysis, and more.
nypost.com/2023/05/28/mic…
#microsoft #aibuilder #windows #programming #artificialintelligence
nypost.com/2023/05/28/mic…
#microsoft #aibuilder #windows #programming #artificialintelligence
2/ Neural Filters: a new feature by Adobe that adds generative AI to Photoshop. Apply realistic effects to your photos, such as changing facial expressions, hair styles, age, and lighting.
nypost.com/2023/05/27/ado…
#adobe #photoshop #neuralfilters #generativeai #photography
nypost.com/2023/05/27/ado…
#adobe #photoshop #neuralfilters #generativeai #photography
If you're starting out in data science (or if your wondering what you need to learn), don't believe everything you read. 🧵
Spot BS and focus on these 4 steps to grow your career.
#datascience #rstats #career
Spot BS and focus on these 4 steps to grow your career.
#datascience #rstats #career
My friend Rafael Nicolas Fermin Cota (Nico) pointed me to this modified graphic from a Harvard Business Review Article on "Prioritizing Which Data Science Skills Your Company Needs".
With ChatGPT, AI, and the "trendiness" of buzzwords, this graphic becomes even more dangerous. hbr.org/2018/10/priori…
" Exploratory Data Analysis on Terrorism "
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We are performed Exploratory Data Analysis on terrorism #dataset to find out the hot zone of #terrorism. #EDA nothing but #analyzing the given data & finding the #trends, patterns & making some assumptions. #DataVisualization #DataScience #MachineLearning
In this #dataset, there are many features including countries, states, regions, gang names, weapon types, target types, years, months, days, and many more features.
The model will not perform well if training data is small, or noisy with errors outlier or if #data is not representative consist of irrelevant feature(garbage in garbage out) lastly neither too simple(result in #underfitting) nor too complex(results in #overfitting
#DataScience
#DataScience
Not enough training data.
Poor Quality of data.
Irrelevant features.
Nonrepresentative training data.
Overfitting and Underfitting.
#DataCleaningchallenge #MachineLearning #Deeplearning #DataAnalytics #DataVisualization #Python #Powerbi #SQL #MYSQL
analyticsvidhya.com/blog/2021/06/5…
Poor Quality of data.
Irrelevant features.
Nonrepresentative training data.
Overfitting and Underfitting.
#DataCleaningchallenge #MachineLearning #Deeplearning #DataAnalytics #DataVisualization #Python #Powerbi #SQL #MYSQL
analyticsvidhya.com/blog/2021/06/5…
Roadmap to becoming Data Analyst in three months absolutely free. No need to pay a penny for this.
I have mentioned a roadmap with free resources.
A thread🧵👇
I have mentioned a roadmap with free resources.
A thread🧵👇
1. First Month Foundations of Data Analysis
A. Corey Schafer - Python Tutorials for Beginners:
B. StatQuest with Josh Starmer - Statistics Fundamentals:
C. Ken Jee - Data Analysis with Python
A. Corey Schafer - Python Tutorials for Beginners:
B. StatQuest with Josh Starmer - Statistics Fundamentals:
C. Ken Jee - Data Analysis with Python
2. Second Month - Advanced Data Analysis Techniques
A. Sentdex - Machine Learning with Python
B. StatQuest with Josh Starmer - Machine Learning Fundamentals
C. Brandon Foltz - Business Analytics
A. Sentdex - Machine Learning with Python
B. StatQuest with Josh Starmer - Machine Learning Fundamentals
C. Brandon Foltz - Business Analytics
Python project ideas for beginners with source code
A thread 🧵👇
A thread 🧵👇
Python for data science beginners roadmap
A thread 🧵👇
A thread 🧵👇
1. Python Basics
Codecademy's Python Course (codecademy.com/learn/learn-py…)
Python for Everybody Course (py4e.com)
Codecademy's Python Course (codecademy.com/learn/learn-py…)
Python for Everybody Course (py4e.com)
2. Data Analysis Libraries
NumPy User Guide (numpy.org/doc/stable/use…)
Pandas User Guide (pandas.pydata.org/docs/user_guid…)
Matplotlib Tutorials (matplotlib.org/stable/tutoria…)
NumPy User Guide (numpy.org/doc/stable/use…)
Pandas User Guide (pandas.pydata.org/docs/user_guid…)
Matplotlib Tutorials (matplotlib.org/stable/tutoria…)
Top 25 SQL Interview Questions and Answers
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There are certain SQL concepts which you should be familiar with if you plan to attend an #SQL interview. No matter which RDBMS you use wether it is MySQL, Oracle, Microsoft SQL Server, #PostgreSQL or any other, these SQL concepts are common for all of the popular RDBMS.
1/23 It's easy to find bullish and bearish elements in the charts to fit you bias, but being a maxi can be risky. Remember:
Markets ebb and flow
Data constantly changes
Your bias only needs to match the TF you are trading
A 🧵 on the #data influencing the #BTC trend and PA.
#NFA
Markets ebb and flow
Data constantly changes
Your bias only needs to match the TF you are trading
A 🧵 on the #data influencing the #BTC trend and PA.
#NFA
2/23 Before we dive into the macro for #Bitcoin, let's look at what's happening this week. It's rare to have a Daily MA #GoldenCross and a Weekly MA #DeathCross happening on the same asset.
3/23 The #GoldenCross printed and the #DeathCross between the 200 & 50 WMA's is coming on the next candle. Knowing why we have conflicting signals isn't as critical as knowing how price will react, but if I had to guess, I'd say, short term manipulation.
Chat GPT no solo es un maestro en la generación de texto, también puede hacer mapas impresionantes.
En este hilo les muestro sus habilidades en 9⃣ sencillos pasos para un impacto visual en sus proyectos de datos.
#ChatGPT #datavisualization #maps #DataViz #MakeOverMonday
En este hilo les muestro sus habilidades en 9⃣ sencillos pasos para un impacto visual en sus proyectos de datos.
#ChatGPT #datavisualization #maps #DataViz #MakeOverMonday
1⃣Damos al Chat GPT el prompt para que genere una tabla con datos de las diez ciudades más pobladas en América Latina, incluyendo su latitud y longitud.
#ChatGPT #PromptSharing #DataViz #LatinAmerica
#ChatGPT #PromptSharing #DataViz #LatinAmerica
2⃣ Exportamos la información a una tabla de Google Sheets y la guardamos en nuestro drive.
💻
#GoogleDrive #ChatGPT
💻
#GoogleDrive #ChatGPT
💥14 herramientas secretas impulsadas por #RStats para ahorrar tiempo y esfuerzo en tus proyectos de datos (¡No te lo pierdas!):👀
1️⃣ ¡Edita tus datos de forma interactiva (y guarda el código)! 👀
📦 'editData' es un complemento de RStudio para editar un data.frame o un tibble de forma interactiva
🔗 buff.ly/3U5Tgjy
#DataScience #DataVisualization #dataviz #stats #analytics #RStats #Analytics
📦 'editData' es un complemento de RStudio para editar un data.frame o un tibble de forma interactiva
🔗 buff.ly/3U5Tgjy
#DataScience #DataVisualization #dataviz #stats #analytics #RStats #Analytics
2️⃣ ¡Crea gráficos #ggplot de forma interactiva!🚀
📦esquisse es otro de mis addins favoritos de #rstudio
✅ exporta el gráfico o recupera el código para reproducir el gráfico
🔗 buff.ly/3mxLHSo
#DataScience #DataVisualization #dataviz #stats #analytics #RStats #Analytics
📦esquisse es otro de mis addins favoritos de #rstudio
✅ exporta el gráfico o recupera el código para reproducir el gráfico
🔗 buff.ly/3mxLHSo
#DataScience #DataVisualization #dataviz #stats #analytics #RStats #Analytics
🌎 ¡Acabo de encontrar una serie de mapas increíbles realizados con #RStats! Desde mapas interactivos hasta diseños 3D, hay algo para todos los amantes de los datos espaciales
👇 ¡8 cuentas a las que definitivamente vale la pena darle un vistazo!🧵
#dataviz #maps #geospatial #gis
👇 ¡8 cuentas a las que definitivamente vale la pena darle un vistazo!🧵
#dataviz #maps #geospatial #gis
✅ Tyler Morgan-Wall @tylermorganwall
🔗 buff.ly/3ZBWNKe
Mapa 3D giratorio con puntos de luz (mapa anterior)
🔗 buff.ly/3QDfXLx
La red de cable submarino de fibra óptica de la Tierra.
Utiliza #rayshader #rayrender #rayverse
#dataviz #maps #geospatial #gis
🔗 buff.ly/3ZBWNKe
Mapa 3D giratorio con puntos de luz (mapa anterior)
🔗 buff.ly/3QDfXLx
La red de cable submarino de fibra óptica de la Tierra.
Utiliza #rayshader #rayrender #rayverse
#dataviz #maps #geospatial #gis
@tylermorganwall ✅ Milos Popovic @milos_agathon
🔗 buff.ly/3CJM6LN
Mapa % de empleados en la fabricación, datos Eurostat.
#dataviz #maps #geospatial #gis #rstats #DataVisualization #stats #DataScience
🔗 buff.ly/3CJM6LN
Mapa % de empleados en la fabricación, datos Eurostat.
#dataviz #maps #geospatial #gis #rstats #DataVisualization #stats #DataScience
Learn SQL projects for Data Analysis and add to your portfolio for free 🥳
Projects for the portfolio are very important. These projects will improve your skills
A thread 🧵👇
Projects for the portfolio are very important. These projects will improve your skills
A thread 🧵👇
1.
2.
Hey #OSINT, Data visualization is the graphical representation of information and data.
Investigations become easier with visual elements like charts, graphs, maps, & tools. #DataVisualization
Here are some must use Data Visualization tools for OSINT investigators.
A thread🧵
Investigations become easier with visual elements like charts, graphs, maps, & tools. #DataVisualization
Here are some must use Data Visualization tools for OSINT investigators.
A thread🧵
1. Osint Combine’s Data Visualization Tool - osintcombine.com/data-visualiza…
2. Gephi - gephi.org
3. ArcGis - arcgis.com/index.html
4. Cytoscape - cytoscape.org
5. SocNetV - socnetv.org
#OSINT #JournalismIsNotACrime #Data #DataVisualization
2. Gephi - gephi.org
3. ArcGis - arcgis.com/index.html
4. Cytoscape - cytoscape.org
5. SocNetV - socnetv.org
#OSINT #JournalismIsNotACrime #Data #DataVisualization
6. Theory Maker - theorymaker.info
7. Tabnetviz -aszilagyi.github.io/tabnetviz/
8. InfraNodus - infranodus.com
9. Google Sheets - google.com/sheets/about/
10. Tableau -alternativeto.net/software/table…
#OSINT #JournalismIsNotACrime #Data #DataVisualization #DataScience
7. Tabnetviz -aszilagyi.github.io/tabnetviz/
8. InfraNodus - infranodus.com
9. Google Sheets - google.com/sheets/about/
10. Tableau -alternativeto.net/software/table…
#OSINT #JournalismIsNotACrime #Data #DataVisualization #DataScience
I think the message in Data Science needs to be: Don't believe everything you read. 🧵
#stats #datascience
#stats #datascience
I'd like to thank Nico Cota for pointing me to this modified graphic from a recent Harvard Business Review article on "Prioritizing Which Data Skills Your Company Needs".
You hear Harvard Business Review, & you think this must be legit.
Well, in this case, they dropped the ball.
If you're coming up with an educational plan for your org in 2023, here are some tips:
Well, in this case, they dropped the ball.
If you're coming up with an educational plan for your org in 2023, here are some tips:
ERRORES QUE DAN MIEDO👻en #DataScience🎃
📊"Una imagen vale más que mil palabras", o que mil datos. Los gráficos cuentan la historia de los datos, nos ayudan a guiar, interpretar y comunicar😉
Cuidado con estos #HorrorStats
#HappyHalloween #Halloween #FelizDomingo #HalloweenEnds
📊"Una imagen vale más que mil palabras", o que mil datos. Los gráficos cuentan la historia de los datos, nos ayudan a guiar, interpretar y comunicar😉
Cuidado con estos #HorrorStats
#HappyHalloween #Halloween #FelizDomingo #HalloweenEnds
🚫1. Elegir el gráfico incorrecto💀
Cada gráfico tiene sus propios casos de uso. ¿Tiene sentido representar el crédito € de una tarjeta con un gráfico de sectores? 🤌
#HorrorStats #HappyHalloween～ #trickortreat #DataScience #dataviz #DataScience #data
¿Qué gráfico utilizar?👇
Cada gráfico tiene sus propios casos de uso. ¿Tiene sentido representar el crédito € de una tarjeta con un gráfico de sectores? 🤌
#HorrorStats #HappyHalloween～ #trickortreat #DataScience #dataviz #DataScience #data
¿Qué gráfico utilizar?👇
🚫2. Manipular los ejes del gráfico💀
👉Distorsionar la escala, truncarla u omitir líneas de base es un error, intencionado o no.🤦🏻♀️
¿Quieres más ejemplos?👇
#HorrorStats #HappyHalloween～ #trickortreat #DataScience #dataviz #RStats #Python #DataVisualization #Stats #Analytics
👉Distorsionar la escala, truncarla u omitir líneas de base es un error, intencionado o no.🤦🏻♀️
¿Quieres más ejemplos?👇
#HorrorStats #HappyHalloween～ #trickortreat #DataScience #dataviz #RStats #Python #DataVisualization #Stats #Analytics
WOW do we have a lot going on at @ieeevis this year! @Northeastern @KhouryCollege #dataviz has been busy 🤯
Our website: visualization.khoury.northeastern.edu
Our schedule: docs.google.com/spreadsheets/d… #IEEEVIS
Our website: visualization.khoury.northeastern.edu
Our schedule: docs.google.com/spreadsheets/d… #IEEEVIS
@ieeevis @Northeastern @KhouryCollege ICYMI yesterday, we had THREE submissions to @altVISworkshop (all award-winners!):
"The worst graph layout algorithm ever": visualization.khoury.northeastern.edu/pubs/DiBartolo… cc @codydunne @sara_picorana
#IEEEVIS
"The worst graph layout algorithm ever": visualization.khoury.northeastern.edu/pubs/DiBartolo… cc @codydunne @sara_picorana
#IEEEVIS
@ieeevis @Northeastern @KhouryCollege @altVISworkshop @codydunne @sara_picorana Winning the @altVISworkshop "Most Dystopian" award,
"DyStopia: Into a potential future of IEEE VIS under Plan S" by @codydunne @lonnibesancon #IEEEVIS #planS #openscience
Read more: visualization.khoury.northeastern.edu/pubs/Besancon2…
"DyStopia: Into a potential future of IEEE VIS under Plan S" by @codydunne @lonnibesancon #IEEEVIS #planS #openscience
Read more: visualization.khoury.northeastern.edu/pubs/Besancon2…
Excellent Python Programs to be better - Beginner
🧵 2 Questions
#datavisualization #data #tableau #storytelling #technology #analytics #intelligence #innovation #learning #scalability #dataanalytics #businessintelligence #art #datastorytelling #MachineLearning #DataScience
🧵 2 Questions
#datavisualization #data #tableau #storytelling #technology #analytics #intelligence #innovation #learning #scalability #dataanalytics #businessintelligence #art #datastorytelling #MachineLearning #DataScience
Question 1 - Python Dictionary
Solution
Steps to solve:
1. take input from the user and convert it to an integer
2. then initialize a dictionary "result"
3. now use for loop to fill the dictionary with 'i' as key and i*i as value
4. print the dictionary
Steps to solve:
1. take input from the user and convert it to an integer
2. then initialize a dictionary "result"
3. now use for loop to fill the dictionary with 'i' as key and i*i as value
4. print the dictionary
🧵How to Tell a Good Story with Data
Part 1 Thread
#datavisualization #data #tableau #storytelling #technology #analytics #intelligence #innovation #visualization #learning #scalability #dataanalytics #businessintelligence #art #datastorytelling #MachineLearning #DataScience
👇🏻
Part 1 Thread
#datavisualization #data #tableau #storytelling #technology #analytics #intelligence #innovation #visualization #learning #scalability #dataanalytics #businessintelligence #art #datastorytelling #MachineLearning #DataScience
👇🏻
You run analytics on data to gain insights. These insights are meaningless until you reveal the story they wish to tell. These insights must translate into actions or business results.
People get moved by stories, not facts. I'm sure you recall certain stories from your youth. Stories inspire action. Will listening to a story about Mahatma Gandhi motivate you to take action?
Do you get my point?
Do you get my point?
Information overload is a huge problem! It will only get worse unless you have #goals, #strategy, and systems for dealing with it. After 35+ years in IT, I'm retooling my personal #Information #technology toolset again. Gathering via @raindrop_io 1/x
see raindrop.io/doug-vos/misc-…
see raindrop.io/doug-vos/misc-…
However, the biggest IT #Algorithms of collecting, sorting, and naming things (#data) really never change. We just have new tools for #DataScience, #Datavisualization, and #datatransformation. As @bobdylan said: Man gave names to all the animals. 2/x
When I first learned R, I struggled making data visualizations with ggplot2.
Here are the 3 things that helped me.
#rstats #R #datascience #datavisualization
Here are the 3 things that helped me.
#rstats #R #datascience #datavisualization
Data visualizations are absolutely the most important thing to learn because of story telling...
... the ability to help your business take action.
AND the most powerful R library for static data visualization is ggplot2.
... the ability to help your business take action.
AND the most powerful R library for static data visualization is ggplot2.
But ggplot2 has a STEEP learning curve.
3 things that helped me...
3 things that helped me...
Data science’s lifecycle consists of five distinct stages, each with its own tasks:
🧵(1/6)
🧵(1/6)
Capture: Data Acquisition, Data Entry, Signal Reception, Data Extraction. This stage involves gathering raw structured and unstructured data.
(2/6)
(2/6)
Maintain: Data Warehousing, Data Cleansing, Data Staging, Data Processing, Data Architecture. This stage covers taking the raw data and putting it in a form that can be used.
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Part 2: Biopython
Key features and examples.
#pythonkachilla2 #pythonkachilla #pakdatasci #DataScience #MachineLearning #DataVisualization #codanics
A Thread!
Key features and examples.
#pythonkachilla2 #pythonkachilla #pakdatasci #DataScience #MachineLearning #DataVisualization #codanics
A Thread!
Sequences.
A core concept in Biopython is the biological sequence, and this is represented by the Seq class. A Biopython Seq object is similar to a Python string in many respects: it supports the Python slice notation, can be concatenated with other sequences and is immutable.
A core concept in Biopython is the biological sequence, and this is represented by the Seq class. A Biopython Seq object is similar to a Python string in many respects: it supports the Python slice notation, can be concatenated with other sequences and is immutable.
Sequence annotation.
The SeqRecord class describes sequences along with information such as name description and features in the form of SeqFeature objects. Each SeqFeature object specifies the type of the feature and its location.
The SeqRecord class describes sequences along with information such as name description and features in the form of SeqFeature objects. Each SeqFeature object specifies the type of the feature and its location.
Biopython: an open-source collection of non-commercial Python tools for computational biology and bioinformatics It contains classes to represent biological sequences and sequence annotations
Thread
#pythonkachilla2 #pythonkachilla #pakdatasci #DataScience #MachineLearning
Thread
#pythonkachilla2 #pythonkachilla #pakdatasci #DataScience #MachineLearning
- History:
Began in 1999 and it was first released in July 2000. It was developed during a similar time frame and with analogous goals to other projects that added bioinformatics capabilities to their respective programming languages, including BioPerl, BioRuby and BioJava.
Began in 1999 and it was first released in July 2000. It was developed during a similar time frame and with analogous goals to other projects that added bioinformatics capabilities to their respective programming languages, including BioPerl, BioRuby and BioJava.
- Design:
Follows the conventions used by the Python programming language to make it easier for users familiar with Python. For example, Seq and SeqRecord objects can be manipulated via slicing, in a manner similar to Python's strings and lists. #DataVisualization
Follows the conventions used by the Python programming language to make it easier for users familiar with Python. For example, Seq and SeqRecord objects can be manipulated via slicing, in a manner similar to Python's strings and lists. #DataVisualization
