Este documento analiza datos sobre víctimas de suicidio en Argentina entre 2017-2020. Se cargan los datos en un dataframe y se limpian valores faltantes. Luego, se realizan análisis como la cantidad de víctimas por año, el porcentaje de víctimas por año, y la cantidad de suicidios según sexo y franja etaria.
Este documento describe los diferentes tipos de fibras musculares esqueléticas, sus características y cómo se adaptan al entrenamiento. Explica que existen fibras musculares lentas (ST) y rápidas (FT), y que éstas se reclutan de manera progresiva dependiendo de la intensidad del ejercicio. También describe los diferentes tipos de contracciones musculares y cómo se produce la fatiga muscular.
- El documento presenta una introducción al curso de Machine Learning de MindsDB. Los objetivos del curso son aprender a preparar y visualizar datos, entender diferentes algoritmos de ML, y explorar deep learning y redes neuronales.
- Explica brevemente que el ML identifica patrones en datos para resolver problemas, y que los modelos usualmente son de aprendizaje supervisado u no supervisado. El aprendizaje supervisado predice un objetivo, mientras que el no supervisado encuentra estructura en los datos.
- Resalta que el ML es un campo en
2024 State of Marketing Report – by HubspotMarius Sescu
https://www.hubspot.com/state-of-marketing
· Scaling relationships and proving ROI
· Social media is the place for search, sales, and service
· Authentic influencer partnerships fuel brand growth
· The strongest connections happen via call, click, chat, and camera.
· Time saved with AI leads to more creative work
· Seeking: A single source of truth
· TLDR; Get on social, try AI, and align your systems.
· More human marketing, powered by robots
ChatGPT is a revolutionary addition to the world since its introduction in 2022. A big shift in the sector of information gathering and processing happened because of this chatbot. What is the story of ChatGPT? How is the bot responding to prompts and generating contents? Swipe through these slides prepared by Expeed Software, a web development company regarding the development and technical intricacies of ChatGPT!
Product Design Trends in 2024 | Teenage EngineeringsPixeldarts
The realm of product design is a constantly changing environment where technology and style intersect. Every year introduces fresh challenges and exciting trends that mold the future of this captivating art form. In this piece, we delve into the significant trends set to influence the look and functionality of product design in the year 2024.
How Race, Age and Gender Shape Attitudes Towards Mental HealthThinkNow
Mental health has been in the news quite a bit lately. Dozens of U.S. states are currently suing Meta for contributing to the youth mental health crisis by inserting addictive features into their products, while the U.S. Surgeon General is touring the nation to bring awareness to the growing epidemic of loneliness and isolation. The country has endured periods of low national morale, such as in the 1970s when high inflation and the energy crisis worsened public sentiment following the Vietnam War. The current mood, however, feels different. Gallup recently reported that national mental health is at an all-time low, with few bright spots to lift spirits.
To better understand how Americans are feeling and their attitudes towards mental health in general, ThinkNow conducted a nationally representative quantitative survey of 1,500 respondents and found some interesting differences among ethnic, age and gender groups.
Technology
For example, 52% agree that technology and social media have a negative impact on mental health, but when broken out by race, 61% of Whites felt technology had a negative effect, and only 48% of Hispanics thought it did.
While technology has helped us keep in touch with friends and family in faraway places, it appears to have degraded our ability to connect in person. Staying connected online is a double-edged sword since the same news feed that brings us pictures of the grandkids and fluffy kittens also feeds us news about the wars in Israel and Ukraine, the dysfunction in Washington, the latest mass shooting and the climate crisis.
Hispanics may have a built-in defense against the isolation technology breeds, owing to their large, multigenerational households, strong social support systems, and tendency to use social media to stay connected with relatives abroad.
Age and Gender
When asked how individuals rate their mental health, men rate it higher than women by 11 percentage points, and Baby Boomers rank it highest at 83%, saying it’s good or excellent vs. 57% of Gen Z saying the same.
Gen Z spends the most amount of time on social media, so the notion that social media negatively affects mental health appears to be correlated. Unfortunately, Gen Z is also the generation that’s least comfortable discussing mental health concerns with healthcare professionals. Only 40% of them state they’re comfortable discussing their issues with a professional compared to 60% of Millennials and 65% of Boomers.
Race Affects Attitudes
As seen in previous research conducted by ThinkNow, Asian Americans lag other groups when it comes to awareness of mental health issues. Twenty-four percent of Asian Americans believe that having a mental health issue is a sign of weakness compared to the 16% average for all groups. Asians are also considerably less likely to be aware of mental health services in their communities (42% vs. 55%) and most likely to seek out information on social media (51% vs. 35%).
AI Trends in Creative Operations 2024 by Artwork Flow.pdfmarketingartwork
Creative operations teams expect increased AI use in 2024. Currently, over half of tasks are not AI-enabled, but this is expected to decrease in the coming year. ChatGPT is the most popular AI tool currently. Business leaders are more actively exploring AI benefits than individual contributors. Most respondents do not believe AI will impact workforce size in 2024. However, some inhibitions still exist around AI accuracy and lack of understanding. Creatives primarily want to use AI to save time on mundane tasks and boost productivity.
Organizational culture includes values, norms, systems, symbols, language, assumptions, beliefs, and habits that influence employee behaviors and how people interpret those behaviors. It is important because culture can help or hinder a company's success. Some key aspects of Netflix's culture that help it achieve results include hiring smartly so every position has stars, focusing on attitude over just aptitude, and having a strict policy against peacocks, whiners, and jerks.
Este documento describe los diferentes tipos de fibras musculares esqueléticas, sus características y cómo se adaptan al entrenamiento. Explica que existen fibras musculares lentas (ST) y rápidas (FT), y que éstas se reclutan de manera progresiva dependiendo de la intensidad del ejercicio. También describe los diferentes tipos de contracciones musculares y cómo se produce la fatiga muscular.
- El documento presenta una introducción al curso de Machine Learning de MindsDB. Los objetivos del curso son aprender a preparar y visualizar datos, entender diferentes algoritmos de ML, y explorar deep learning y redes neuronales.
- Explica brevemente que el ML identifica patrones en datos para resolver problemas, y que los modelos usualmente son de aprendizaje supervisado u no supervisado. El aprendizaje supervisado predice un objetivo, mientras que el no supervisado encuentra estructura en los datos.
- Resalta que el ML es un campo en
2024 State of Marketing Report – by HubspotMarius Sescu
https://www.hubspot.com/state-of-marketing
· Scaling relationships and proving ROI
· Social media is the place for search, sales, and service
· Authentic influencer partnerships fuel brand growth
· The strongest connections happen via call, click, chat, and camera.
· Time saved with AI leads to more creative work
· Seeking: A single source of truth
· TLDR; Get on social, try AI, and align your systems.
· More human marketing, powered by robots
ChatGPT is a revolutionary addition to the world since its introduction in 2022. A big shift in the sector of information gathering and processing happened because of this chatbot. What is the story of ChatGPT? How is the bot responding to prompts and generating contents? Swipe through these slides prepared by Expeed Software, a web development company regarding the development and technical intricacies of ChatGPT!
Product Design Trends in 2024 | Teenage EngineeringsPixeldarts
The realm of product design is a constantly changing environment where technology and style intersect. Every year introduces fresh challenges and exciting trends that mold the future of this captivating art form. In this piece, we delve into the significant trends set to influence the look and functionality of product design in the year 2024.
How Race, Age and Gender Shape Attitudes Towards Mental HealthThinkNow
Mental health has been in the news quite a bit lately. Dozens of U.S. states are currently suing Meta for contributing to the youth mental health crisis by inserting addictive features into their products, while the U.S. Surgeon General is touring the nation to bring awareness to the growing epidemic of loneliness and isolation. The country has endured periods of low national morale, such as in the 1970s when high inflation and the energy crisis worsened public sentiment following the Vietnam War. The current mood, however, feels different. Gallup recently reported that national mental health is at an all-time low, with few bright spots to lift spirits.
To better understand how Americans are feeling and their attitudes towards mental health in general, ThinkNow conducted a nationally representative quantitative survey of 1,500 respondents and found some interesting differences among ethnic, age and gender groups.
Technology
For example, 52% agree that technology and social media have a negative impact on mental health, but when broken out by race, 61% of Whites felt technology had a negative effect, and only 48% of Hispanics thought it did.
While technology has helped us keep in touch with friends and family in faraway places, it appears to have degraded our ability to connect in person. Staying connected online is a double-edged sword since the same news feed that brings us pictures of the grandkids and fluffy kittens also feeds us news about the wars in Israel and Ukraine, the dysfunction in Washington, the latest mass shooting and the climate crisis.
Hispanics may have a built-in defense against the isolation technology breeds, owing to their large, multigenerational households, strong social support systems, and tendency to use social media to stay connected with relatives abroad.
Age and Gender
When asked how individuals rate their mental health, men rate it higher than women by 11 percentage points, and Baby Boomers rank it highest at 83%, saying it’s good or excellent vs. 57% of Gen Z saying the same.
Gen Z spends the most amount of time on social media, so the notion that social media negatively affects mental health appears to be correlated. Unfortunately, Gen Z is also the generation that’s least comfortable discussing mental health concerns with healthcare professionals. Only 40% of them state they’re comfortable discussing their issues with a professional compared to 60% of Millennials and 65% of Boomers.
Race Affects Attitudes
As seen in previous research conducted by ThinkNow, Asian Americans lag other groups when it comes to awareness of mental health issues. Twenty-four percent of Asian Americans believe that having a mental health issue is a sign of weakness compared to the 16% average for all groups. Asians are also considerably less likely to be aware of mental health services in their communities (42% vs. 55%) and most likely to seek out information on social media (51% vs. 35%).
AI Trends in Creative Operations 2024 by Artwork Flow.pdfmarketingartwork
Creative operations teams expect increased AI use in 2024. Currently, over half of tasks are not AI-enabled, but this is expected to decrease in the coming year. ChatGPT is the most popular AI tool currently. Business leaders are more actively exploring AI benefits than individual contributors. Most respondents do not believe AI will impact workforce size in 2024. However, some inhibitions still exist around AI accuracy and lack of understanding. Creatives primarily want to use AI to save time on mundane tasks and boost productivity.
Organizational culture includes values, norms, systems, symbols, language, assumptions, beliefs, and habits that influence employee behaviors and how people interpret those behaviors. It is important because culture can help or hinder a company's success. Some key aspects of Netflix's culture that help it achieve results include hiring smartly so every position has stars, focusing on attitude over just aptitude, and having a strict policy against peacocks, whiners, and jerks.
LINEA DE TIEMPO Y PERIODO INTERTESTAMENTARIOAaronPleitez
linea de tiempo del antiguo testamento donde se detalla la cronología de todos los eventos, personas, sucesos, etc. Además se incluye una parte del periodo intertestamentario en orden cronológico donde se detalla todo lo que sucede en los 400 años del periodo del silencio. Basicamente es un resumen de todos los sucesos desde Abraham hasta Cristo
Este documento ha sido elaborado por el Observatorio Ciudadano de Seguridad Justicia y Legalidad de Irapuato siendo nuestro propósito conocer datos sociodemográficos en conjunto con información de incidencia delictiva de las 10 colonias y/o comunidades que del año 2020 a la fecha han tenido mayor incidencia.
Existen muchas más colonias que presentan cifras y datos en materia de seguridad, sin embargo, en este primer acercamiento lo que se prevées darle al lector una idea de como se encuentran las colonias analizadas, tomando como referencia los datos del INEGI 2020, datos del Secretariado Ejecutivo del Sistema Nacional de Seguridad Pública del 2020 al 2023 y las bases de datos propias que desde el 2017 el Observatorio Ciudadano ha recopilado de manera puntual con datos de las vıć timas de homicidio doloso, accidentes de tránsito, personas lesionadas por arma de fuego, entre otros indicadores.
Minería de Datos e IA Conceptos, Fundamentos y Aplicaciones.pdfMedTechBiz
Este libro ofrece una introducción completa y accesible a los campos de la minería de datos y la inteligencia artificial. Cubre todo, desde conceptos básicos hasta estudios de casos avanzados, con énfasis en la aplicación práctica utilizando herramientas como Python y R.
También aborda cuestiones críticas de ética y responsabilidad en el uso de estas tecnologías, discutiendo temas como la privacidad, el sesgo algorítmico y transparencia.
El objetivo es permitir al lector aplicar técnicas de minería de datos e inteligencia artificial a problemas reales, contribuyendo a la innovación y el progreso en su área de especialización.
PEPSICO Presentation to CAGNY Conference Feb 2024Neil Kimberley
PepsiCo provided a safe harbor statement noting that any forward-looking statements are based on currently available information and are subject to risks and uncertainties. It also provided information on non-GAAP measures and directing readers to its website for disclosure and reconciliation. The document then discussed PepsiCo's business overview, including that it is a global beverage and convenient food company with iconic brands, $91 billion in net revenue in 2023, and nearly $14 billion in core operating profit. It operates through a divisional structure with a focus on local consumers.
Content Methodology: A Best Practices Report (Webinar)contently
This document provides an overview of content methodology best practices. It defines content methodology as establishing objectives, KPIs, and a culture of continuous learning and iteration. An effective methodology focuses on connecting with audiences, creating optimal content, and optimizing processes. It also discusses why a methodology is needed due to the competitive landscape, proliferation of channels, and opportunities for improvement. Components of an effective methodology include defining objectives and KPIs, audience analysis, identifying opportunities, and evaluating resources. The document concludes with recommendations around creating a content plan, testing and optimizing content over 90 days.
How to Prepare For a Successful Job Search for 2024Albert Qian
The document provides guidance on preparing a job search for 2024. It discusses the state of the job market, focusing on growth in AI and healthcare but also continued layoffs. It recommends figuring out what you want to do by researching interests and skills, then conducting informational interviews. The job search should involve building a personal brand on LinkedIn, actively applying to jobs, tailoring resumes and interviews, maintaining job hunting as a habit, and continuing self-improvement. Once hired, the document advises setting new goals and keeping skills and networking active in case of future opportunities.
A report by thenetworkone and Kurio.
The contributing experts and agencies are (in an alphabetical order): Sylwia Rytel, Social Media Supervisor, 180heartbeats + JUNG v MATT (PL), Sharlene Jenner, Vice President - Director of Engagement Strategy, Abelson Taylor (USA), Alex Casanovas, Digital Director, Atrevia (ES), Dora Beilin, Senior Social Strategist, Barrett Hoffher (USA), Min Seo, Campaign Director, Brand New Agency (KR), Deshé M. Gully, Associate Strategist, Day One Agency (USA), Francesca Trevisan, Strategist, Different (IT), Trevor Crossman, CX and Digital Transformation Director; Olivia Hussey, Strategic Planner; Simi Srinarula, Social Media Manager, The Hallway (AUS), James Hebbert, Managing Director, Hylink (CN / UK), Mundy Álvarez, Planning Director; Pedro Rojas, Social Media Manager; Pancho González, CCO, Inbrax (CH), Oana Oprea, Head of Digital Planning, Jam Session Agency (RO), Amy Bottrill, Social Account Director, Launch (UK), Gaby Arriaga, Founder, Leonardo1452 (MX), Shantesh S Row, Creative Director, Liwa (UAE), Rajesh Mehta, Chief Strategy Officer; Dhruv Gaur, Digital Planning Lead; Leonie Mergulhao, Account Supervisor - Social Media & PR, Medulla (IN), Aurelija Plioplytė, Head of Digital & Social, Not Perfect (LI), Daiana Khaidargaliyeva, Account Manager, Osaka Labs (UK / USA), Stefanie Söhnchen, Vice President Digital, PIABO Communications (DE), Elisabeth Winiartati, Managing Consultant, Head of Global Integrated Communications; Lydia Aprina, Account Manager, Integrated Marketing and Communications; Nita Prabowo, Account Manager, Integrated Marketing and Communications; Okhi, Web Developer, PNTR Group (ID), Kei Obusan, Insights Director; Daffi Ranandi, Insights Manager, Radarr (SG), Gautam Reghunath, Co-founder & CEO, Talented (IN), Donagh Humphreys, Head of Social and Digital Innovation, THINKHOUSE (IRE), Sarah Yim, Strategy Director, Zulu Alpha Kilo (CA).
LINEA DE TIEMPO Y PERIODO INTERTESTAMENTARIOAaronPleitez
linea de tiempo del antiguo testamento donde se detalla la cronología de todos los eventos, personas, sucesos, etc. Además se incluye una parte del periodo intertestamentario en orden cronológico donde se detalla todo lo que sucede en los 400 años del periodo del silencio. Basicamente es un resumen de todos los sucesos desde Abraham hasta Cristo
Este documento ha sido elaborado por el Observatorio Ciudadano de Seguridad Justicia y Legalidad de Irapuato siendo nuestro propósito conocer datos sociodemográficos en conjunto con información de incidencia delictiva de las 10 colonias y/o comunidades que del año 2020 a la fecha han tenido mayor incidencia.
Existen muchas más colonias que presentan cifras y datos en materia de seguridad, sin embargo, en este primer acercamiento lo que se prevées darle al lector una idea de como se encuentran las colonias analizadas, tomando como referencia los datos del INEGI 2020, datos del Secretariado Ejecutivo del Sistema Nacional de Seguridad Pública del 2020 al 2023 y las bases de datos propias que desde el 2017 el Observatorio Ciudadano ha recopilado de manera puntual con datos de las vıć timas de homicidio doloso, accidentes de tránsito, personas lesionadas por arma de fuego, entre otros indicadores.
Minería de Datos e IA Conceptos, Fundamentos y Aplicaciones.pdfMedTechBiz
Este libro ofrece una introducción completa y accesible a los campos de la minería de datos y la inteligencia artificial. Cubre todo, desde conceptos básicos hasta estudios de casos avanzados, con énfasis en la aplicación práctica utilizando herramientas como Python y R.
También aborda cuestiones críticas de ética y responsabilidad en el uso de estas tecnologías, discutiendo temas como la privacidad, el sesgo algorítmico y transparencia.
El objetivo es permitir al lector aplicar técnicas de minería de datos e inteligencia artificial a problemas reales, contribuyendo a la innovación y el progreso en su área de especialización.
PEPSICO Presentation to CAGNY Conference Feb 2024Neil Kimberley
PepsiCo provided a safe harbor statement noting that any forward-looking statements are based on currently available information and are subject to risks and uncertainties. It also provided information on non-GAAP measures and directing readers to its website for disclosure and reconciliation. The document then discussed PepsiCo's business overview, including that it is a global beverage and convenient food company with iconic brands, $91 billion in net revenue in 2023, and nearly $14 billion in core operating profit. It operates through a divisional structure with a focus on local consumers.
Content Methodology: A Best Practices Report (Webinar)contently
This document provides an overview of content methodology best practices. It defines content methodology as establishing objectives, KPIs, and a culture of continuous learning and iteration. An effective methodology focuses on connecting with audiences, creating optimal content, and optimizing processes. It also discusses why a methodology is needed due to the competitive landscape, proliferation of channels, and opportunities for improvement. Components of an effective methodology include defining objectives and KPIs, audience analysis, identifying opportunities, and evaluating resources. The document concludes with recommendations around creating a content plan, testing and optimizing content over 90 days.
How to Prepare For a Successful Job Search for 2024Albert Qian
The document provides guidance on preparing a job search for 2024. It discusses the state of the job market, focusing on growth in AI and healthcare but also continued layoffs. It recommends figuring out what you want to do by researching interests and skills, then conducting informational interviews. The job search should involve building a personal brand on LinkedIn, actively applying to jobs, tailoring resumes and interviews, maintaining job hunting as a habit, and continuing self-improvement. Once hired, the document advises setting new goals and keeping skills and networking active in case of future opportunities.
A report by thenetworkone and Kurio.
The contributing experts and agencies are (in an alphabetical order): Sylwia Rytel, Social Media Supervisor, 180heartbeats + JUNG v MATT (PL), Sharlene Jenner, Vice President - Director of Engagement Strategy, Abelson Taylor (USA), Alex Casanovas, Digital Director, Atrevia (ES), Dora Beilin, Senior Social Strategist, Barrett Hoffher (USA), Min Seo, Campaign Director, Brand New Agency (KR), Deshé M. Gully, Associate Strategist, Day One Agency (USA), Francesca Trevisan, Strategist, Different (IT), Trevor Crossman, CX and Digital Transformation Director; Olivia Hussey, Strategic Planner; Simi Srinarula, Social Media Manager, The Hallway (AUS), James Hebbert, Managing Director, Hylink (CN / UK), Mundy Álvarez, Planning Director; Pedro Rojas, Social Media Manager; Pancho González, CCO, Inbrax (CH), Oana Oprea, Head of Digital Planning, Jam Session Agency (RO), Amy Bottrill, Social Account Director, Launch (UK), Gaby Arriaga, Founder, Leonardo1452 (MX), Shantesh S Row, Creative Director, Liwa (UAE), Rajesh Mehta, Chief Strategy Officer; Dhruv Gaur, Digital Planning Lead; Leonie Mergulhao, Account Supervisor - Social Media & PR, Medulla (IN), Aurelija Plioplytė, Head of Digital & Social, Not Perfect (LI), Daiana Khaidargaliyeva, Account Manager, Osaka Labs (UK / USA), Stefanie Söhnchen, Vice President Digital, PIABO Communications (DE), Elisabeth Winiartati, Managing Consultant, Head of Global Integrated Communications; Lydia Aprina, Account Manager, Integrated Marketing and Communications; Nita Prabowo, Account Manager, Integrated Marketing and Communications; Okhi, Web Developer, PNTR Group (ID), Kei Obusan, Insights Director; Daffi Ranandi, Insights Manager, Radarr (SG), Gautam Reghunath, Co-founder & CEO, Talented (IN), Donagh Humphreys, Head of Social and Digital Innovation, THINKHOUSE (IRE), Sarah Yim, Strategy Director, Zulu Alpha Kilo (CA).
Trends In Paid Search: Navigating The Digital Landscape In 2024Search Engine Journal
The search marketing landscape is evolving rapidly with new technologies, and professionals, like you, rely on innovative paid search strategies to meet changing demands.
It’s important that you’re ready to implement new strategies in 2024.
Check this out and learn the top trends in paid search advertising that are expected to gain traction, so you can drive higher ROI more efficiently in 2024.
You’ll learn:
- The latest trends in AI and automation, and what this means for an evolving paid search ecosystem.
- New developments in privacy and data regulation.
- Emerging ad formats that are expected to make an impact next year.
Watch Sreekant Lanka from iQuanti and Irina Klein from OneMain Financial as they dive into the future of paid search and explore the trends, strategies, and technologies that will shape the search marketing landscape.
If you’re looking to assess your paid search strategy and design an industry-aligned plan for 2024, then this webinar is for you.
5 Public speaking tips from TED - Visualized summarySpeakerHub
From their humble beginnings in 1984, TED has grown into the world’s most powerful amplifier for speakers and thought-leaders to share their ideas. They have over 2,400 filmed talks (not including the 30,000+ TEDx videos) freely available online, and have hosted over 17,500 events around the world.
With over one billion views in a year, it’s no wonder that so many speakers are looking to TED for ideas on how to share their message more effectively.
The article “5 Public-Speaking Tips TED Gives Its Speakers”, by Carmine Gallo for Forbes, gives speakers five practical ways to connect with their audience, and effectively share their ideas on stage.
Whether you are gearing up to get on a TED stage yourself, or just want to master the skills that so many of their speakers possess, these tips and quotes from Chris Anderson, the TED Talks Curator, will encourage you to make the most impactful impression on your audience.
See the full article and more summaries like this on SpeakerHub here: https://speakerhub.com/blog/5-presentation-tips-ted-gives-its-speakers
See the original article on Forbes here:
http://www.forbes.com/forbes/welcome/?toURL=http://www.forbes.com/sites/carminegallo/2016/05/06/5-public-speaking-tips-ted-gives-its-speakers/&refURL=&referrer=#5c07a8221d9b
ChatGPT and the Future of Work - Clark Boyd Clark Boyd
Everyone is in agreement that ChatGPT (and other generative AI tools) will shape the future of work. Yet there is little consensus on exactly how, when, and to what extent this technology will change our world.
Businesses that extract maximum value from ChatGPT will use it as a collaborative tool for everything from brainstorming to technical maintenance.
For individuals, now is the time to pinpoint the skills the future professional will need to thrive in the AI age.
Check out this presentation to understand what ChatGPT is, how it will shape the future of work, and how you can prepare to take advantage.
The document provides career advice for getting into the tech field, including:
- Doing projects and internships in college to build a portfolio.
- Learning about different roles and technologies through industry research.
- Contributing to open source projects to build experience and network.
- Developing a personal brand through a website and social media presence.
- Networking through events, communities, and finding a mentor.
- Practicing interviews through mock interviews and whiteboarding coding questions.
Google's Just Not That Into You: Understanding Core Updates & Search IntentLily Ray
1. Core updates from Google periodically change how its algorithms assess and rank websites and pages. This can impact rankings through shifts in user intent, site quality issues being caught up to, world events influencing queries, and overhauls to search like the E-A-T framework.
2. There are many possible user intents beyond just transactional, navigational and informational. Identifying intent shifts is important during core updates. Sites may need to optimize for new intents through different content types and sections.
3. Responding effectively to core updates requires analyzing "before and after" data to understand changes, identifying new intents or page types, and ensuring content matches appropriate intents across video, images, knowledge graphs and more.
A brief introduction to DataScience with explaining of the concepts, algorithms, machine learning, supervised and unsupervised learning, clustering, statistics, data preprocessing, real-world applications etc.
It's part of a Data Science Corner Campaign where I will be discussing the fundamentals of DataScience, AIML, Statistics etc.
Time Management & Productivity - Best PracticesVit Horky
Here's my presentation on by proven best practices how to manage your work time effectively and how to improve your productivity. It includes practical tips and how to use tools such as Slack, Google Apps, Hubspot, Google Calendar, Gmail and others.
The six step guide to practical project managementMindGenius
The six step guide to practical project management
If you think managing projects is too difficult, think again.
We’ve stripped back project management processes to the
basics – to make it quicker and easier, without sacrificing
the vital ingredients for success.
“If you’re looking for some real-world guidance, then The Six Step Guide to Practical Project Management will help.”
Dr Andrew Makar, Tactical Project Management
Unlocking the Power of ChatGPT and AI in Testing - A Real-World Look, present...Applitools
During this webinar, Anand Bagmar demonstrates how AI tools such as ChatGPT can be applied to various stages of the software development life cycle (SDLC) using an eCommerce application case study. Find the on-demand recording and more info at https://applitools.info/b59
Key takeaways:
• Learn how to use ChatGPT to add AI power to your testing and test automation
• Understand the limitations of the technology and where human expertise is crucial
• Gain insight into different AI-based tools
• Adopt AI-based tools to stay relevant and optimize work for developers and testers
* ChatGPT and OpenAI belong to OpenAI, L.L.C.
The document discusses various AI tools from OpenAI like GPT-3 and DALL-E 2, as well as ChatGPT. It explores how search engines are using AI and things to consider around AI-generated content. Potential SEO uses of ChatGPT are also presented, such as generating content at scale, conducting topic research, and automating basic coding tasks. The document encourages further reading on using ChatGPT for SEO purposes.
More than Just Lines on a Map: Best Practices for U.S Bike Routes
This session highlights best practices and lessons learned for U.S. Bike Route System designation, as well as how and why these routes should be integrated into bicycle planning at the local and regional level.
Presenters:
Presenter: Kevin Luecke Toole Design Group
Co-Presenter: Virginia Sullivan Adventure Cycling Association
Ride the Storm: Navigating Through Unstable Periods / Katerina Rudko (Belka G...DevGAMM Conference
Has your project been caught in a storm of deadlines, clashing requirements, and the need to change course halfway through? If yes, then check out how the administration team navigated through all of this, relocating 160 people from 3 countries and opening 2 offices during the most turbulent time in the last 20 years. Belka Games’ Chief Administrative Officer, Katerina Rudko, will share universal approaches and life hacks that can help your project survive unstable periods when there seem to be too many tasks and a lack of time and people.
This presentation was designed to provide strategic recommendations for a brand in decline. The deck also incorporates a situational assessment, including a brand identity, positioning, architecture, and portfolio strategy for the Brand.
Presentation originally created for NYU Stern's Brand Strategy course. Design by Erica Santiago & Chris Alexander.
1. victima_suicidio
October 24, 2022
[1]: import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
import seaborn as sns
import xlrd
import openpyxl
pd.__version__
[1]: '1.5.0'
Fuente: Sistema Nacional de Información criminal-Sistema de Alerta temprana.Pertenecientes al
Ministerio de Seguridad de la Nación
[2]: #cargar datos
df_data=pd.read_excel('Integrado_SS_base_usuaria_2017-2020 (1).xlsx')
[3]: #se muestra el dataframe
df_data
[3]: id_hecho federal Cod_INDEC_Prov provincia agrupacion
0 8529 No 42 LA PAMPA Norte (General Pico)
1 8530 No 42 LA PAMPA Sur (General Acha)
2 8569 No 78 SANTA CRUZ Güer Aike
3 8705 No 58 NEUQUEN Confluencia
4 8706 No 58 NEUQUEN Confluencia
… … … … … …
13805 28234 No 6 BUENOS AIRES General Alvear
13806 28235 No 6 BUENOS AIRES Laprida
13807 28236 No 6 BUENOS AIRES Bahía Blanca
13808 28237 No 6 BUENOS AIRES Marcos Paz
13809 28238 No 6 BUENOS AIRES Lobos
codigo_agrupacion codigo_departamento Cod_INDEC departamento
0 2 2 42002 Norte (General Pico)
1 3 3 42003 Sur (General Acha)
2 21 21 78021 Güer Aike
3 35 35 58035 Confluencia
4 35 35 58035 Confluencia
1
2. … … … … …
13805 287 287 6287 General Alvear
13806 448 448 6448 Laprida
13807 56 56 6056 Bahía Blanca
13808 525 525 6525 Marcos Paz
13809 483 483 6483 Lobos
localidad … otro_tipo_lugar modalidad
0 General Pico … NaN Ahorcamiento
1 Guatraché … NaN Arma de fuego
2 28 de Noviembre … NaN Ahorcamiento
3 Neuquén … Hospedaje temporario Arma de fuego
4 Plottier … NaN Ahorcamiento
… … … … …
13805 General Alvear … NaN Ahorcamiento
13806 Laprida … NaN Ahorcamiento
13807 Bahía Blanca … NaN Ahorcamiento
13808 Marcos Paz … NaN Ahorcamiento
13809 Lobos … NaN Ahorcamiento
modalidad_ampliado otro_modalidad motivo_origen_registro
0 Ahorcamiento NaN Intervención policial
1 Arma de fuego NaN Intervención policial
2 Ahorcamiento NaN Denuncia particular
3 Arma de fuego NaN Intervención policial
4 Ahorcamiento NaN Intervención policial
… … … …
13805 Ahorcamiento NaN Intervención policial
13806 Ahorcamiento NaN Intervención policial
13807 Ahorcamiento NaN Denuncia particular
13808 Ahorcamiento NaN Intervención policial
13809 Ahorcamiento NaN Intervención policial
otro_motivo_origen_registro sexo_suicida tr_edad_suicida
0 NaN Masculino 20-24
1 NaN Masculino 55-59
2 NaN Masculino 15-19
3 NaN Masculino 20-24
4 NaN Masculino 20-24
… … … …
13805 NaN Masculino 70-74
13806 NaN Masculino 70-74
13807 NaN Masculino 25-29
13808 NaN Masculino 15-19
13809 NaN Masculino 20-24
identidad_genero_suicida otro_identidad_genero_suicida
2
3. 0 NaN NaN
1 NaN NaN
2 NaN NaN
3 NaN NaN
4 NaN NaN
… … …
13805 NaN NaN
13806 NaN NaN
13807 NaN NaN
13808 NaN NaN
13809 NaN NaN
[13810 rows x 30 columns]
[4]: df_data.shape
[4]: (13810, 30)
[5]: df_data.isnull().sum()
[5]: id_hecho 0
federal 0
Cod_INDEC_Prov 0
provincia 0
agrupacion 0
codigo_agrupacion 0
codigo_departamento 0
Cod_INDEC 0
departamento 0
localidad 0
codigo_localidad 0
seccional 0
codigo_seccional 0
anio 0
mes 0
numero_sumario 0
fecha_hecho 0
hora_hecho 0
tipo_lugar 0
tipo_lugar_ampliado 0
otro_tipo_lugar 12984
modalidad 0
modalidad_ampliado 0
otro_modalidad 13756
motivo_origen_registro 0
otro_motivo_origen_registro 13801
sexo_suicida 0
3
4. tr_edad_suicida 0
identidad_genero_suicida 13810
otro_identidad_genero_suicida 13810
dtype: int64
[6]: df=df_data['otro_modalidad'].sum
[8]: df_sin_nan=df_data.fillna({'otro_modalidad': 0,'otro_tipo_lugar':0␣
,
→,'identidad_genero_suicida otro_tipo_lugar':0,'identidad_genero_suicida ':0␣
,
→})
[9]: df_sin_nan
[9]: id_hecho federal Cod_INDEC_Prov provincia agrupacion
0 8529 No 42 LA PAMPA Norte (General Pico)
1 8530 No 42 LA PAMPA Sur (General Acha)
2 8569 No 78 SANTA CRUZ Güer Aike
3 8705 No 58 NEUQUEN Confluencia
4 8706 No 58 NEUQUEN Confluencia
… … … … … …
13805 28234 No 6 BUENOS AIRES General Alvear
13806 28235 No 6 BUENOS AIRES Laprida
13807 28236 No 6 BUENOS AIRES Bahía Blanca
13808 28237 No 6 BUENOS AIRES Marcos Paz
13809 28238 No 6 BUENOS AIRES Lobos
codigo_agrupacion codigo_departamento Cod_INDEC departamento
0 2 2 42002 Norte (General Pico)
1 3 3 42003 Sur (General Acha)
2 21 21 78021 Güer Aike
3 35 35 58035 Confluencia
4 35 35 58035 Confluencia
… … … … …
13805 287 287 6287 General Alvear
13806 448 448 6448 Laprida
13807 56 56 6056 Bahía Blanca
13808 525 525 6525 Marcos Paz
13809 483 483 6483 Lobos
localidad … otro_tipo_lugar modalidad
0 General Pico … 0 Ahorcamiento
1 Guatraché … 0 Arma de fuego
2 28 de Noviembre … 0 Ahorcamiento
3 Neuquén … Hospedaje temporario Arma de fuego
4 Plottier … 0 Ahorcamiento
… … … … …
13805 General Alvear … 0 Ahorcamiento
4
5. 13806 Laprida … 0 Ahorcamiento
13807 Bahía Blanca … 0 Ahorcamiento
13808 Marcos Paz … 0 Ahorcamiento
13809 Lobos … 0 Ahorcamiento
modalidad_ampliado otro_modalidad motivo_origen_registro
0 Ahorcamiento 0 Intervención policial
1 Arma de fuego 0 Intervención policial
2 Ahorcamiento 0 Denuncia particular
3 Arma de fuego 0 Intervención policial
4 Ahorcamiento 0 Intervención policial
… … … …
13805 Ahorcamiento 0 Intervención policial
13806 Ahorcamiento 0 Intervención policial
13807 Ahorcamiento 0 Denuncia particular
13808 Ahorcamiento 0 Intervención policial
13809 Ahorcamiento 0 Intervención policial
otro_motivo_origen_registro sexo_suicida tr_edad_suicida
0 NaN Masculino 20-24
1 NaN Masculino 55-59
2 NaN Masculino 15-19
3 NaN Masculino 20-24
4 NaN Masculino 20-24
… … … …
13805 NaN Masculino 70-74
13806 NaN Masculino 70-74
13807 NaN Masculino 25-29
13808 NaN Masculino 15-19
13809 NaN Masculino 20-24
identidad_genero_suicida otro_identidad_genero_suicida
0 NaN NaN
1 NaN NaN
2 NaN NaN
3 NaN NaN
4 NaN NaN
… … …
13805 NaN NaN
13806 NaN NaN
13807 NaN NaN
13808 NaN NaN
13809 NaN NaN
[13810 rows x 30 columns]
[10]: df1=pd.DataFrame(df_sin_nan)
5
6. [11]: df1.isnull().sum()
[11]: id_hecho 0
federal 0
Cod_INDEC_Prov 0
provincia 0
agrupacion 0
codigo_agrupacion 0
codigo_departamento 0
Cod_INDEC 0
departamento 0
localidad 0
codigo_localidad 0
seccional 0
codigo_seccional 0
anio 0
mes 0
numero_sumario 0
fecha_hecho 0
hora_hecho 0
tipo_lugar 0
tipo_lugar_ampliado 0
otro_tipo_lugar 0
modalidad 0
modalidad_ampliado 0
otro_modalidad 0
motivo_origen_registro 0
otro_motivo_origen_registro 13801
sexo_suicida 0
tr_edad_suicida 0
identidad_genero_suicida 13810
otro_identidad_genero_suicida 13810
dtype: int64
[12]: df1.head()
[12]: id_hecho federal Cod_INDEC_Prov provincia agrupacion
0 8529 No 42 LA PAMPA Norte (General Pico)
1 8530 No 42 LA PAMPA Sur (General Acha)
2 8569 No 78 SANTA CRUZ Güer Aike
3 8705 No 58 NEUQUEN Confluencia
4 8706 No 58 NEUQUEN Confluencia
codigo_agrupacion codigo_departamento Cod_INDEC departamento
0 2 2 42002 Norte (General Pico)
1 3 3 42003 Sur (General Acha)
2 21 21 78021 Güer Aike
6
7. 3 35 35 58035 Confluencia
4 35 35 58035 Confluencia
localidad … otro_tipo_lugar modalidad
0 General Pico … 0 Ahorcamiento
1 Guatraché … 0 Arma de fuego
2 28 de Noviembre … 0 Ahorcamiento
3 Neuquén … Hospedaje temporario Arma de fuego
4 Plottier … 0 Ahorcamiento
modalidad_ampliado otro_modalidad motivo_origen_registro
0 Ahorcamiento 0 Intervención policial
1 Arma de fuego 0 Intervención policial
2 Ahorcamiento 0 Denuncia particular
3 Arma de fuego 0 Intervención policial
4 Ahorcamiento 0 Intervención policial
otro_motivo_origen_registro sexo_suicida tr_edad_suicida
0 NaN Masculino 20-24
1 NaN Masculino 55-59
2 NaN Masculino 15-19
3 NaN Masculino 20-24
4 NaN Masculino 20-24
identidad_genero_suicida otro_identidad_genero_suicida
0 NaN NaN
1 NaN NaN
2 NaN NaN
3 NaN NaN
4 NaN NaN
[5 rows x 30 columns]
Cantidad y Porcentaje de victimas por año. Años 2017,2018,2019,2020
[13]: cantidad_victimas=df1.anio.value_counts()
[15]: cantidad_victimas
[15]: 2018 3788
2019 3567
2017 3284
2020 3171
Name: anio, dtype: int64
[16]: explode=[0.05, 0.05,0.05,0.05]
7
9. [ ]: null_columns=df1.columns[df_data.isnull().any()]
df_data[null_columns].isnull().sum()
Cantidad de suicidios segun sexo y franja etaria.
[18]: type(df_data['identidad_genero_suicida'])
[18]: pandas.core.series.Series
[19]: df_data.
,
→drop(columns=['identidad_genero_suicida','otro_identidad_genero_suicida'])
[19]: id_hecho federal Cod_INDEC_Prov provincia agrupacion
0 8529 No 42 LA PAMPA Norte (General Pico)
1 8530 No 42 LA PAMPA Sur (General Acha)
2 8569 No 78 SANTA CRUZ Güer Aike
3 8705 No 58 NEUQUEN Confluencia
4 8706 No 58 NEUQUEN Confluencia
… … … … … …
13805 28234 No 6 BUENOS AIRES General Alvear
13806 28235 No 6 BUENOS AIRES Laprida
13807 28236 No 6 BUENOS AIRES Bahía Blanca
13808 28237 No 6 BUENOS AIRES Marcos Paz
13809 28238 No 6 BUENOS AIRES Lobos
codigo_agrupacion codigo_departamento Cod_INDEC departamento
0 2 2 42002 Norte (General Pico)
1 3 3 42003 Sur (General Acha)
2 21 21 78021 Güer Aike
3 35 35 58035 Confluencia
4 35 35 58035 Confluencia
… … … … …
13805 287 287 6287 General Alvear
13806 448 448 6448 Laprida
13807 56 56 6056 Bahía Blanca
13808 525 525 6525 Marcos Paz
13809 483 483 6483 Lobos
localidad … tipo_lugar
0 General Pico … Vía pública
1 Guatraché … Domicilio particular
2 28 de Noviembre … Vía pública
3 Neuquén … Otro Lugar ( Especificar )
4 Plottier … Domicilio particular
… … … …
13805 General Alvear … Domicilio particular
13806 Laprida … Domicilio particular
9
10. 13807 Bahía Blanca … Domicilio particular
13808 Marcos Paz … Domicilio particular
13809 Lobos … Sin determinar
tipo_lugar_ampliado otro_tipo_lugar modalidad
0 Vía pública NaN Ahorcamiento
1 Domicilio particular NaN Arma de fuego
2 Vía pública NaN Ahorcamiento
3 Otro Lugar ( Especificar ) Hospedaje temporario Arma de fuego
4 Domicilio particular NaN Ahorcamiento
… … … …
13805 Domicilio particular NaN Ahorcamiento
13806 Domicilio particular NaN Ahorcamiento
13807 Domicilio particular NaN Ahorcamiento
13808 Domicilio particular NaN Ahorcamiento
13809 Sin determinar NaN Ahorcamiento
modalidad_ampliado otro_modalidad motivo_origen_registro
0 Ahorcamiento NaN Intervención policial
1 Arma de fuego NaN Intervención policial
2 Ahorcamiento NaN Denuncia particular
3 Arma de fuego NaN Intervención policial
4 Ahorcamiento NaN Intervención policial
… … … …
13805 Ahorcamiento NaN Intervención policial
13806 Ahorcamiento NaN Intervención policial
13807 Ahorcamiento NaN Denuncia particular
13808 Ahorcamiento NaN Intervención policial
13809 Ahorcamiento NaN Intervención policial
otro_motivo_origen_registro sexo_suicida tr_edad_suicida
0 NaN Masculino 20-24
1 NaN Masculino 55-59
2 NaN Masculino 15-19
3 NaN Masculino 20-24
4 NaN Masculino 20-24
… … … …
13805 NaN Masculino 70-74
13806 NaN Masculino 70-74
13807 NaN Masculino 25-29
13808 NaN Masculino 15-19
13809 NaN Masculino 20-24
[13810 rows x 28 columns]
[20]: s_edad_año=df1.groupby(['tr_edad_suicida','anio']).size()
10
13. Establecimiento de salud 20
Geriátrico/Hogar ancianos 4
Hotel/Motel 8
Otro Lugar ( Especificar ) 47
Río/canal/arroyo/mar/dique 22
Sin determinar 83
Vía pública 234
Vías del FF.CC. 48
Masculino Campo/descampado/zona rural 218
Cárcel o comisaría 146
Domicilio particular 8320
Establecimiento de salud 34
Geriátrico/Hogar ancianos 15
Hotel/Motel 25
Otro Lugar ( Especificar ) 352
Río/canal/arroyo/mar/dique 47
Sin determinar 376
Vía pública 1319
Vías del FF.CC. 134
Sin determinar Domicilio particular 34
Establecimiento de salud 1
Sin determinar 10
Vía pública 7
Vías del FF.CC. 2
dtype: int64
[27]: df1.groupby(['sexo_suicida','tipo_lugar'] ).size().unstack().
,
→plot(kind="bar",stacked=False)
plt.title('Nº de victimas por sexo segun lugar de ocurrencia')
plt.show()
plt.savefig("cantidad de victimas segun luguar de ocurrencia.png")
13
14. <Figure size 640x480 with 0 Axes>
[28]: cant_provincia=df1.pivot_table(index='provincia',␣
,
→columns='anio',values='id_hecho',aggfunc='count')
[29]: cant_provincia
[29]: anio 2017 2018 2019 2020
provincia
BUENOS AIRES 1032 1393 999 850
CATAMARCA 38 44 32 48
CHACO 100 108 90 102
CHUBUT 53 69 56 71
CIUDAD DE BUENOS AIRES 157 123 150 123
14
15. CORDOBA 231 255 263 197
CORRIENTES 48 83 119 36
ENTRE RIOS 159 234 252 198
FORMOSA 60 65 64 66
JUJUY 38 28 77 65
LA PAMPA 31 40 34 43
LA RIOJA 13 47 49 45
MENDOZA 194 198 197 194
MISIONES 80 70 84 120
NEUQUEN 67 70 63 52
RIO NEGRO 47 43 60 35
SALTA 192 160 168 195
SAN JUAN 56 51 65 54
SAN LUIS 38 52 75 62
SANTA CRUZ 41 39 39 33
SANTA FE 390 368 360 328
SANTIAGO DEL ESTERO 113 118 136 119
TIERRA DEL FUEGO 13 14 15 9
TUCUMÁN 93 116 120 126
Distribución territorial
[30]: sns.heatmap(cant_provincia,center=0,annot=True,fmt="d", cmap='inferno')
[30]: <AxesSubplot: xlabel='anio', ylabel='provincia'>
15
16. Nro de victimas correspondientes al año 2020 según franja etaria
[31]: df1_año20202=df1[df1.anio==2020]
[32]: df1_año20202
[32]: id_hecho federal Cod_INDEC_Prov provincia agrupacion
8624 20284 No 18 CORRIENTES Capital
8625 20285 No 18 CORRIENTES Paso de los Libres
8626 20286 No 18 CORRIENTES Mercedes
8627 20287 No 18 CORRIENTES Capital
8628 20288 No 18 CORRIENTES Santo Tomé
… … … … … …
13805 28234 No 6 BUENOS AIRES General Alvear
13806 28235 No 6 BUENOS AIRES Laprida
13807 28236 No 6 BUENOS AIRES Bahía Blanca
13808 28237 No 6 BUENOS AIRES Marcos Paz
13809 28238 No 6 BUENOS AIRES Lobos
codigo_agrupacion codigo_departamento Cod_INDEC departamento
8624 21 21 18021 Capital
8625 119 119 18119 Paso de los Libres
8626 105 105 18105 Mercedes
8627 21 21 18021 Capital
8628 168 168 18168 Santo Tomé
… … … … …
13805 287 287 6287 General Alvear
13806 448 448 6448 Laprida
13807 56 56 6056 Bahía Blanca
13808 525 525 6525 Marcos Paz
13809 483 483 6483 Lobos
localidad … otro_tipo_lugar
8624 Corrientes … 0
8625 Paso de los Libres … Campo/descampado/zona rural
8626 Mercedes … 0
8627 Corrientes … Interior de rodado
8628 Santo Tomé … 0
… … … …
13805 General Alvear … 0
13806 Laprida … 0
13807 Bahía Blanca … 0
13808 Marcos Paz … 0
13809 Lobos … 0
modalidad modalidad_ampliado otro_modalidad
8624 Se arroja al vacío Se arroja al vacío 0
16
17. 8625 Ahorcamiento Ahorcamiento 0
8626 Arma de fuego Arma de fuego 0
8627 Arma de fuego Arma de fuego 0
8628 Arma de fuego Arma de fuego 0
… … … …
13805 Ahorcamiento Ahorcamiento 0
13806 Ahorcamiento Ahorcamiento 0
13807 Ahorcamiento Ahorcamiento 0
13808 Ahorcamiento Ahorcamiento 0
13809 Ahorcamiento Ahorcamiento 0
motivo_origen_registro otro_motivo_origen_registro sexo_suicida
8624 Intervención policial NaN Masculino
8625 Intervención policial NaN Masculino
8626 Intervención policial NaN Masculino
8627 Intervención policial NaN Masculino
8628 Intervención policial NaN Masculino
… … … …
13805 Intervención policial NaN Masculino
13806 Intervención policial NaN Masculino
13807 Denuncia particular NaN Masculino
13808 Intervención policial NaN Masculino
13809 Intervención policial NaN Masculino
tr_edad_suicida identidad_genero_suicida otro_identidad_genero_suicida
8624 30-34 NaN NaN
8625 55-59 NaN NaN
8626 35-39 NaN NaN
8627 50-54 NaN NaN
8628 50-54 NaN NaN
… … … …
13805 70-74 NaN NaN
13806 70-74 NaN NaN
13807 25-29 NaN NaN
13808 15-19 NaN NaN
13809 20-24 NaN NaN
[3171 rows x 30 columns]
[33]: df1_año20202.tr_edad_suicida.value_counts()
[33]: 20-24 408
25-29 373
15-19 370
30-34 276
35-39 262
40-44 229
17
18. 45-49 171
60-64 158
55-59 147
50-54 139
65-69 130
Sin determinar 121
70-74 110
75-79 99
80-84 71
10-14 49
85-89 38
90 y más 17
5-9 3
Name: tr_edad_suicida, dtype: int64
[34]: df1_año20202.tr_edad_suicida.value_counts().plot(kind='bar')
plt.title('Nº de victimas año 2020 según franja etaria')
plt.show()
plt.savefig("Nº de victimas año 2020 según franja etaria.png")
18
19. <Figure size 640x480 with 0 Axes>
Esta grafica muestra que en el año 2020 la mayor cantidad de victimas se encontraban en la franja
etaria edad de 20 a 24 años, luego van disminuyendo.
[35]: df1_año20202.modalidad_ampliado.value_counts()
[35]: Ahorcamiento 2307
Arma de fuego 452
Sin determinar 103
Envenenamiento 86
Se arroja al vacío 85
Arma blanca / elemento cortante 34
Sumersión en piscina / mar / río 32
Se arroja a las vías de FF.CC. 32
Se incinera 23
19
21. <Figure size 640x480 with 0 Axes>
Se muestra que la cantidad de victimas de personas de sexo masculino es mayor que la del femenino.
En mujeres la mayor cantidad se registra en la franja de 15 a 19 años, continuando de 20 a29, y el
sexo masculino presenta una franja mayor en la franja de 20 a 24. Tener en cuenta que estos datos
son solos los que maneja el SINC-SAT.
21