As part of the OESON Data Science internship program OGTIP Oeson, I completed my first project. The goal of the project was to conduct a statistical analysis of the stock values of three well-known companies using Advanced Excel. I used descriptive statistics to analyze the data, created charts to visualize the trends and built regression models for each company.
Fandamental Statistics and Data Science Stock_price_analysis_OESON_P1.pptxyabotenoffice
Fandamental Statistics and Data Science.
The scope of this project was to create a statistical report that compiles real- time data on stock prices for prominent US corporations such as Microsoft, Apple and Tesla in order to analyse the performance of their stock, by performing a descriptive and regression analysis.
Database Marketing - Dominick's stores in Chicago districDemin Wang
Determined two courses for the Dominick's transnational database analysis: one performed on a corporate level to facilitate a variety of corporate planning activities; and the other one on a category level to improves sales performance and expand product offerings.
• Extracted one year sales data from 109 Dominick's stores in Chicago district and merged with store demographic data.
• Analysis the data by segmentation analysis (create groups of the stores similar in performance), response analysis (find targetable characteristics of identified groups of stores) and model validation (evaluate performance of the model on a 20% hold-out sample) utilizing SAS
• Explicated the result in 25 pages report, which discussed the evaluation of potential locations for a new store and choice of the stores to test market a new product.
Determine an optimal target to maximize net profit from marketing campaign with the use of a scoring model ablo to predict the client's probability of upselling
Fandamental Statistics and Data Science Stock_price_analysis_OESON_P1.pptxyabotenoffice
Fandamental Statistics and Data Science.
The scope of this project was to create a statistical report that compiles real- time data on stock prices for prominent US corporations such as Microsoft, Apple and Tesla in order to analyse the performance of their stock, by performing a descriptive and regression analysis.
Database Marketing - Dominick's stores in Chicago districDemin Wang
Determined two courses for the Dominick's transnational database analysis: one performed on a corporate level to facilitate a variety of corporate planning activities; and the other one on a category level to improves sales performance and expand product offerings.
• Extracted one year sales data from 109 Dominick's stores in Chicago district and merged with store demographic data.
• Analysis the data by segmentation analysis (create groups of the stores similar in performance), response analysis (find targetable characteristics of identified groups of stores) and model validation (evaluate performance of the model on a 20% hold-out sample) utilizing SAS
• Explicated the result in 25 pages report, which discussed the evaluation of potential locations for a new store and choice of the stores to test market a new product.
Determine an optimal target to maximize net profit from marketing campaign with the use of a scoring model ablo to predict the client's probability of upselling
During the "Data Driven Strategies" course, me and my colleagues have set ourselves the challenge of predicting the probability of upselling through a logistic regression, using a bank dataframe sample, in order to determine an optimal target to maximize net profit from the planned marketing campaign.
Here you can find attached the final presentation of the project!
Walmart Sales Prediction Using Rapidminer Prepared by Naga.docxcelenarouzie
Walmart Sales Prediction Using Rapidminer
Prepared by : Nagarjun Singharavelu
I. Introduction:
Wal-Mart Stores, Inc is an American Multinational retail corporation that
operates a chain of discount department stores and Warehouse Stores. Headquartered in
Bentonville, Arkansas, United States, the company was founded by Sam Walton in 1962 and
incorporated on October 31, 1969. It has over 11,000 stores in 27 countries, under a total 71
banners. Walmart is the world's largest company by revenue, according to the Fortune Global
500 list in 2014, as well as the biggest private employer in the world with 2.2 million employees.
Walmart is a family-owned business, as the company is controlled by the Walton family. Sam
Walton's heirs own over 50 percent of Walmart through their holding company, Walton
Enterprises, and through their individual holdings. The company was listed on the New York
Stock Exchange in 1972. In the late 1980s and early 1990s, the company rose from a regional to
a national giant. By 1988, Walmart was the most profitable retailer in the U.S. Walmart helps
individuals round the world economize and live better.
The main aim of our project is to identify the impact on sales throughout
numerous strategic selections taken by the corporate. The analysis is performed on historical
sales data across 45 Walmart stores located in different regions. The foremost necessary is
Walmart runs many promotional markdown events throughout the year and we have to check
the impact it creates on sales during that particular period. The markdowns precede prominent
holidays, the four largest of which are the Labor Day, Thanksgiving and Christmas. During these
weeks it is noted that there is a tremendous amount of change in the day-to-day sales. Hence
we tend to apply different algorithms which we learnt in class over this dataset to identify the
effect of markdowns on these holiday weeks.
II. Information about dataset:
We had taken four different datasets of Walmart from Kaggle.com
containing the information about the stores, departments, average temperature in that
particular region, CPI, day of the week, sales and mainly indicating if that week was a
holiday. Let us explain each dataset in detail.
Stores:
The no. of attributes in this dataset is 3.
They are store number, type of store and the size of store.
Output attribute is the size of store.
There are 45 stores whose information is collected.
Stores are categorized into three such as A, B and C, which we assume it to be
superstores containing different types of products.
The store size would be calculated by the no. of products available in the particular
store ranging from 34,000 to 210,000.
Train:
This is the historical training data, which covers to 2010-02-05 to 2012-11-01.
It consists of the store and department number.
Date of the week.
Weekl.
Choosing The Right Credit Decisioning ModelExperian
All portfolios are different and exhibit different performance behaviors. How do you know if an industry model/score is the right fit that will predict the behavior of your portfolio? In this session, lead analytics consultant, Marsha Silverman, will share key steps to determine if a generic score will work, or if it is worth investing in a customized solution.
Join us on to learn:
-If an industry-wide, off-the-shelf model work for your portfolio?
-Would a custom model be more valuable and would it yield a high enough return on the investment
-Some key metrics to determine if a model is accurately predicting behavior
Watch the recording of this talk on our archive page:
https://www.experian.com/business-information/landing/sip-and-solve.html
Market Risk And Return PowerPoint Presentation Slides SlideTeam
Presenting this set of slides with name - Market Risk And Return Powerpoint Presentation Slides. Our topic specific Market Risk And Return Powerpoint Presentation Slides presentation deck contains twenty eight slides to formulate the topic with a sound understanding. This PPT deck is what you can bank upon. With diverse and professional slides at your side, worry the least for a powerpack presentation. A range of editable and ready to use slides with all sorts of relevant charts and graphs, overviews, topics subtopics templates, and analysis templates makes it all the more worth. This deck displays creative and professional looking slides of all sorts. Whether you are a member of an assigned team or a designated official on the look out for impacting slides, it caters to every professional field.
2nd Dubai Marketing Club (Pharmaceutical Forecasting) by Dr.Samer SaeedMahmoud Bahgat
2nd Dubai Marketing Club (Pharmaceutical Forecasting) by Dr.Samer Saeed
*#Mahmoud_Bahgat*
*#Marketing_Club*
للاشتراك في نادي التسويق بالشرق الاوسط
*If you are a Marketer now*
To Join our whatsapp &Monthly Meeting in Middle East Cities
Send me ur data on Whatsap
00966569654916
*Fill ur data here as speaker or member*
https://lnkd.in/efkTE7T
Join now
*Marketing Club Facebook Page*
https://lnkd.in/gm4c4hD
*Marketing Club Facebook Group*
https://lnkd.in/gX-5au5
*Egyptian Pharmacists Society Facebook Page*
https://lnkd.in/fucnv_5
•••••••••••••••••••••••••••••
*#Mahmoud_Bahgat*
00966568654916
لخدمات التسويق والدعاية والاعلان
*#Legendary_ADLAND*
Complete Marketing Solutions
*www.TheLegendary.info*
•••••••••••••••••••••••••••••
للحصول على اقامة او شركة في اوروبا
*#Legendary_Europe*
Europe Companies & Residency
*www.LegendaryEurope.Net*
•••••••••••••••••••••••••••••
*Contact Bahgat*
M.Bahgat@TheLegendary.Info
■ *Bahgat Facbook Page*
https://lnkd.in/fVAdubA
■ *Bahgat Linkedin*
https://lnkd.in/fvDQXuG
■ *Bahgat Twitter*
https://lnkd.in/fmNC72T
■ *Bahgat YouTube Channel*
https://www.Youtube.com /mahmoud bahgat
■ *Bahgat Instagram*
https://lnkd.in/fmWPXrY
■ *Bahgat SnapChat*
https://lnkd.in/f6GR-mR
•••••••••••••••••••••••••••••
Why React Native as a Strategic Advantage for Startup Innovation.pdfayushiqss
Do you know that React Native is being increasingly adopted by startups as well as big companies in the mobile app development industry? Big names like Facebook, Instagram, and Pinterest have already integrated this robust open-source framework.
In fact, according to a report by Statista, the number of React Native developers has been steadily increasing over the years, reaching an estimated 1.9 million by the end of 2024. This means that the demand for this framework in the job market has been growing making it a valuable skill.
But what makes React Native so popular for mobile application development? It offers excellent cross-platform capabilities among other benefits. This way, with React Native, developers can write code once and run it on both iOS and Android devices thus saving time and resources leading to shorter development cycles hence faster time-to-market for your app.
Let’s take the example of a startup, which wanted to release their app on both iOS and Android at once. Through the use of React Native they managed to create an app and bring it into the market within a very short period. This helped them gain an advantage over their competitors because they had access to a large user base who were able to generate revenue quickly for them.
We describe the deployment and use of Globus Compute for remote computation. This content is aimed at researchers who wish to compute on remote resources using a unified programming interface, as well as system administrators who will deploy and operate Globus Compute services on their research computing infrastructure.
During the "Data Driven Strategies" course, me and my colleagues have set ourselves the challenge of predicting the probability of upselling through a logistic regression, using a bank dataframe sample, in order to determine an optimal target to maximize net profit from the planned marketing campaign.
Here you can find attached the final presentation of the project!
Walmart Sales Prediction Using Rapidminer Prepared by Naga.docxcelenarouzie
Walmart Sales Prediction Using Rapidminer
Prepared by : Nagarjun Singharavelu
I. Introduction:
Wal-Mart Stores, Inc is an American Multinational retail corporation that
operates a chain of discount department stores and Warehouse Stores. Headquartered in
Bentonville, Arkansas, United States, the company was founded by Sam Walton in 1962 and
incorporated on October 31, 1969. It has over 11,000 stores in 27 countries, under a total 71
banners. Walmart is the world's largest company by revenue, according to the Fortune Global
500 list in 2014, as well as the biggest private employer in the world with 2.2 million employees.
Walmart is a family-owned business, as the company is controlled by the Walton family. Sam
Walton's heirs own over 50 percent of Walmart through their holding company, Walton
Enterprises, and through their individual holdings. The company was listed on the New York
Stock Exchange in 1972. In the late 1980s and early 1990s, the company rose from a regional to
a national giant. By 1988, Walmart was the most profitable retailer in the U.S. Walmart helps
individuals round the world economize and live better.
The main aim of our project is to identify the impact on sales throughout
numerous strategic selections taken by the corporate. The analysis is performed on historical
sales data across 45 Walmart stores located in different regions. The foremost necessary is
Walmart runs many promotional markdown events throughout the year and we have to check
the impact it creates on sales during that particular period. The markdowns precede prominent
holidays, the four largest of which are the Labor Day, Thanksgiving and Christmas. During these
weeks it is noted that there is a tremendous amount of change in the day-to-day sales. Hence
we tend to apply different algorithms which we learnt in class over this dataset to identify the
effect of markdowns on these holiday weeks.
II. Information about dataset:
We had taken four different datasets of Walmart from Kaggle.com
containing the information about the stores, departments, average temperature in that
particular region, CPI, day of the week, sales and mainly indicating if that week was a
holiday. Let us explain each dataset in detail.
Stores:
The no. of attributes in this dataset is 3.
They are store number, type of store and the size of store.
Output attribute is the size of store.
There are 45 stores whose information is collected.
Stores are categorized into three such as A, B and C, which we assume it to be
superstores containing different types of products.
The store size would be calculated by the no. of products available in the particular
store ranging from 34,000 to 210,000.
Train:
This is the historical training data, which covers to 2010-02-05 to 2012-11-01.
It consists of the store and department number.
Date of the week.
Weekl.
Choosing The Right Credit Decisioning ModelExperian
All portfolios are different and exhibit different performance behaviors. How do you know if an industry model/score is the right fit that will predict the behavior of your portfolio? In this session, lead analytics consultant, Marsha Silverman, will share key steps to determine if a generic score will work, or if it is worth investing in a customized solution.
Join us on to learn:
-If an industry-wide, off-the-shelf model work for your portfolio?
-Would a custom model be more valuable and would it yield a high enough return on the investment
-Some key metrics to determine if a model is accurately predicting behavior
Watch the recording of this talk on our archive page:
https://www.experian.com/business-information/landing/sip-and-solve.html
Market Risk And Return PowerPoint Presentation Slides SlideTeam
Presenting this set of slides with name - Market Risk And Return Powerpoint Presentation Slides. Our topic specific Market Risk And Return Powerpoint Presentation Slides presentation deck contains twenty eight slides to formulate the topic with a sound understanding. This PPT deck is what you can bank upon. With diverse and professional slides at your side, worry the least for a powerpack presentation. A range of editable and ready to use slides with all sorts of relevant charts and graphs, overviews, topics subtopics templates, and analysis templates makes it all the more worth. This deck displays creative and professional looking slides of all sorts. Whether you are a member of an assigned team or a designated official on the look out for impacting slides, it caters to every professional field.
2nd Dubai Marketing Club (Pharmaceutical Forecasting) by Dr.Samer SaeedMahmoud Bahgat
2nd Dubai Marketing Club (Pharmaceutical Forecasting) by Dr.Samer Saeed
*#Mahmoud_Bahgat*
*#Marketing_Club*
للاشتراك في نادي التسويق بالشرق الاوسط
*If you are a Marketer now*
To Join our whatsapp &Monthly Meeting in Middle East Cities
Send me ur data on Whatsap
00966569654916
*Fill ur data here as speaker or member*
https://lnkd.in/efkTE7T
Join now
*Marketing Club Facebook Page*
https://lnkd.in/gm4c4hD
*Marketing Club Facebook Group*
https://lnkd.in/gX-5au5
*Egyptian Pharmacists Society Facebook Page*
https://lnkd.in/fucnv_5
•••••••••••••••••••••••••••••
*#Mahmoud_Bahgat*
00966568654916
لخدمات التسويق والدعاية والاعلان
*#Legendary_ADLAND*
Complete Marketing Solutions
*www.TheLegendary.info*
•••••••••••••••••••••••••••••
للحصول على اقامة او شركة في اوروبا
*#Legendary_Europe*
Europe Companies & Residency
*www.LegendaryEurope.Net*
•••••••••••••••••••••••••••••
*Contact Bahgat*
M.Bahgat@TheLegendary.Info
■ *Bahgat Facbook Page*
https://lnkd.in/fVAdubA
■ *Bahgat Linkedin*
https://lnkd.in/fvDQXuG
■ *Bahgat Twitter*
https://lnkd.in/fmNC72T
■ *Bahgat YouTube Channel*
https://www.Youtube.com /mahmoud bahgat
■ *Bahgat Instagram*
https://lnkd.in/fmWPXrY
■ *Bahgat SnapChat*
https://lnkd.in/f6GR-mR
•••••••••••••••••••••••••••••
Why React Native as a Strategic Advantage for Startup Innovation.pdfayushiqss
Do you know that React Native is being increasingly adopted by startups as well as big companies in the mobile app development industry? Big names like Facebook, Instagram, and Pinterest have already integrated this robust open-source framework.
In fact, according to a report by Statista, the number of React Native developers has been steadily increasing over the years, reaching an estimated 1.9 million by the end of 2024. This means that the demand for this framework in the job market has been growing making it a valuable skill.
But what makes React Native so popular for mobile application development? It offers excellent cross-platform capabilities among other benefits. This way, with React Native, developers can write code once and run it on both iOS and Android devices thus saving time and resources leading to shorter development cycles hence faster time-to-market for your app.
Let’s take the example of a startup, which wanted to release their app on both iOS and Android at once. Through the use of React Native they managed to create an app and bring it into the market within a very short period. This helped them gain an advantage over their competitors because they had access to a large user base who were able to generate revenue quickly for them.
We describe the deployment and use of Globus Compute for remote computation. This content is aimed at researchers who wish to compute on remote resources using a unified programming interface, as well as system administrators who will deploy and operate Globus Compute services on their research computing infrastructure.
How Recreation Management Software Can Streamline Your Operations.pptxwottaspaceseo
Recreation management software streamlines operations by automating key tasks such as scheduling, registration, and payment processing, reducing manual workload and errors. It provides centralized management of facilities, classes, and events, ensuring efficient resource allocation and facility usage. The software offers user-friendly online portals for easy access to bookings and program information, enhancing customer experience. Real-time reporting and data analytics deliver insights into attendance and preferences, aiding in strategic decision-making. Additionally, effective communication tools keep participants and staff informed with timely updates. Overall, recreation management software enhances efficiency, improves service delivery, and boosts customer satisfaction.
Climate Science Flows: Enabling Petabyte-Scale Climate Analysis with the Eart...Globus
The Earth System Grid Federation (ESGF) is a global network of data servers that archives and distributes the planet’s largest collection of Earth system model output for thousands of climate and environmental scientists worldwide. Many of these petabyte-scale data archives are located in proximity to large high-performance computing (HPC) or cloud computing resources, but the primary workflow for data users consists of transferring data, and applying computations on a different system. As a part of the ESGF 2.0 US project (funded by the United States Department of Energy Office of Science), we developed pre-defined data workflows, which can be run on-demand, capable of applying many data reduction and data analysis to the large ESGF data archives, transferring only the resultant analysis (ex. visualizations, smaller data files). In this talk, we will showcase a few of these workflows, highlighting how Globus Flows can be used for petabyte-scale climate analysis.
First Steps with Globus Compute Multi-User EndpointsGlobus
In this presentation we will share our experiences around getting started with the Globus Compute multi-user endpoint. Working with the Pharmacology group at the University of Auckland, we have previously written an application using Globus Compute that can offload computationally expensive steps in the researcher's workflows, which they wish to manage from their familiar Windows environments, onto the NeSI (New Zealand eScience Infrastructure) cluster. Some of the challenges we have encountered were that each researcher had to set up and manage their own single-user globus compute endpoint and that the workloads had varying resource requirements (CPUs, memory and wall time) between different runs. We hope that the multi-user endpoint will help to address these challenges and share an update on our progress here.
Software Engineering, Software Consulting, Tech Lead.
Spring Boot, Spring Cloud, Spring Core, Spring JDBC, Spring Security,
Spring Transaction, Spring MVC,
Log4j, REST/SOAP WEB-SERVICES.
Your Digital Assistant.
Making complex approach simple. Straightforward process saves time. No more waiting to connect with people that matter to you. Safety first is not a cliché - Securely protect information in cloud storage to prevent any third party from accessing data.
Would you rather make your visitors feel burdened by making them wait? Or choose VizMan for a stress-free experience? VizMan is an automated visitor management system that works for any industries not limited to factories, societies, government institutes, and warehouses. A new age contactless way of logging information of visitors, employees, packages, and vehicles. VizMan is a digital logbook so it deters unnecessary use of paper or space since there is no requirement of bundles of registers that is left to collect dust in a corner of a room. Visitor’s essential details, helps in scheduling meetings for visitors and employees, and assists in supervising the attendance of the employees. With VizMan, visitors don’t need to wait for hours in long queues. VizMan handles visitors with the value they deserve because we know time is important to you.
Feasible Features
One Subscription, Four Modules – Admin, Employee, Receptionist, and Gatekeeper ensures confidentiality and prevents data from being manipulated
User Friendly – can be easily used on Android, iOS, and Web Interface
Multiple Accessibility – Log in through any device from any place at any time
One app for all industries – a Visitor Management System that works for any organisation.
Stress-free Sign-up
Visitor is registered and checked-in by the Receptionist
Host gets a notification, where they opt to Approve the meeting
Host notifies the Receptionist of the end of the meeting
Visitor is checked-out by the Receptionist
Host enters notes and remarks of the meeting
Customizable Components
Scheduling Meetings – Host can invite visitors for meetings and also approve, reject and reschedule meetings
Single/Bulk invites – Invitations can be sent individually to a visitor or collectively to many visitors
VIP Visitors – Additional security of data for VIP visitors to avoid misuse of information
Courier Management – Keeps a check on deliveries like commodities being delivered in and out of establishments
Alerts & Notifications – Get notified on SMS, email, and application
Parking Management – Manage availability of parking space
Individual log-in – Every user has their own log-in id
Visitor/Meeting Analytics – Evaluate notes and remarks of the meeting stored in the system
Visitor Management System is a secure and user friendly database manager that records, filters, tracks the visitors to your organization.
"Secure Your Premises with VizMan (VMS) – Get It Now"
SOCRadar Research Team: Latest Activities of IntelBrokerSOCRadar
The European Union Agency for Law Enforcement Cooperation (Europol) has suffered an alleged data breach after a notorious threat actor claimed to have exfiltrated data from its systems. Infamous data leaker IntelBroker posted on the even more infamous BreachForums hacking forum, saying that Europol suffered a data breach this month.
The alleged breach affected Europol agencies CCSE, EC3, Europol Platform for Experts, Law Enforcement Forum, and SIRIUS. Infiltration of these entities can disrupt ongoing investigations and compromise sensitive intelligence shared among international law enforcement agencies.
However, this is neither the first nor the last activity of IntekBroker. We have compiled for you what happened in the last few days. To track such hacker activities on dark web sources like hacker forums, private Telegram channels, and other hidden platforms where cyber threats often originate, you can check SOCRadar’s Dark Web News.
Stay Informed on Threat Actors’ Activity on the Dark Web with SOCRadar!
Large Language Models and the End of ProgrammingMatt Welsh
Talk by Matt Welsh at Craft Conference 2024 on the impact that Large Language Models will have on the future of software development. In this talk, I discuss the ways in which LLMs will impact the software industry, from replacing human software developers with AI, to replacing conventional software with models that perform reasoning, computation, and problem-solving.
Paketo Buildpacks : la meilleure façon de construire des images OCI? DevopsDa...Anthony Dahanne
Les Buildpacks existent depuis plus de 10 ans ! D’abord, ils étaient utilisés pour détecter et construire une application avant de la déployer sur certains PaaS. Ensuite, nous avons pu créer des images Docker (OCI) avec leur dernière génération, les Cloud Native Buildpacks (CNCF en incubation). Sont-ils une bonne alternative au Dockerfile ? Que sont les buildpacks Paketo ? Quelles communautés les soutiennent et comment ?
Venez le découvrir lors de cette session ignite
Unleash Unlimited Potential with One-Time Purchase
BoxLang is more than just a language; it's a community. By choosing a Visionary License, you're not just investing in your success, you're actively contributing to the ongoing development and support of BoxLang.
Strategies for Successful Data Migration Tools.pptxvarshanayak241
Data migration is a complex but essential task for organizations aiming to modernize their IT infrastructure and leverage new technologies. By understanding common challenges and implementing these strategies, businesses can achieve a successful migration with minimal disruption. Data Migration Tool like Ask On Data play a pivotal role in this journey, offering features that streamline the process, ensure data integrity, and maintain security. With the right approach and tools, organizations can turn the challenge of data migration into an opportunity for growth and innovation.
Advanced Flow Concepts Every Developer Should KnowPeter Caitens
Tim Combridge from Sensible Giraffe and Salesforce Ben presents some important tips that all developers should know when dealing with Flows in Salesforce.
Listen to the keynote address and hear about the latest developments from Rachana Ananthakrishnan and Ian Foster who review the updates to the Globus Platform and Service, and the relevance of Globus to the scientific community as an automation platform to accelerate scientific discovery.
Globus Connect Server Deep Dive - GlobusWorld 2024Globus
We explore the Globus Connect Server (GCS) architecture and experiment with advanced configuration options and use cases. This content is targeted at system administrators who are familiar with GCS and currently operate—or are planning to operate—broader deployments at their institution.
Understanding Globus Data Transfers with NetSageGlobus
NetSage is an open privacy-aware network measurement, analysis, and visualization service designed to help end-users visualize and reason about large data transfers. NetSage traditionally has used a combination of passive measurements, including SNMP and flow data, as well as active measurements, mainly perfSONAR, to provide longitudinal network performance data visualization. It has been deployed by dozens of networks world wide, and is supported domestically by the Engagement and Performance Operations Center (EPOC), NSF #2328479. We have recently expanded the NetSage data sources to include logs for Globus data transfers, following the same privacy-preserving approach as for Flow data. Using the logs for the Texas Advanced Computing Center (TACC) as an example, this talk will walk through several different example use cases that NetSage can answer, including: Who is using Globus to share data with my institution, and what kind of performance are they able to achieve? How many transfers has Globus supported for us? Which sites are we sharing the most data with, and how is that changing over time? How is my site using Globus to move data internally, and what kind of performance do we see for those transfers? What percentage of data transfers at my institution used Globus, and how did the overall data transfer performance compare to the Globus users?
Experience our free, in-depth three-part Tendenci Platform Corporate Membership Management workshop series! In Session 1 on May 14th, 2024, we began with an Introduction and Setup, mastering the configuration of your Corporate Membership Module settings to establish membership types, applications, and more. Then, on May 16th, 2024, in Session 2, we focused on binding individual members to a Corporate Membership and Corporate Reps, teaching you how to add individual members and assign Corporate Representatives to manage dues, renewals, and associated members. Finally, on May 28th, 2024, in Session 3, we covered questions and concerns, addressing any queries or issues you may have.
For more Tendenci AMS events, check out www.tendenci.com/events
Code reviews are vital for ensuring good code quality. They serve as one of our last lines of defense against bugs and subpar code reaching production.
Yet, they often turn into annoying tasks riddled with frustration, hostility, unclear feedback and lack of standards. How can we improve this crucial process?
In this session we will cover:
- The Art of Effective Code Reviews
- Streamlining the Review Process
- Elevating Reviews with Automated Tools
By the end of this presentation, you'll have the knowledge on how to organize and improve your code review proces
3. Project Overview
• Market Performance: Analysing the market price of
S&P500 big companies Microsoft, Tesla & Apple from
2018 to 2023 and studying the behavior of company
stock price fluctuation and statistical analysis.
• Forseeing the investment: Developing the regression
models against the S&P500 to gain the beta coefficient
and assessing the risk in investing in the company stock.
• Discovering the Patterns and Trends: Utilizing the
charts and plots, histograms to get a visual
demonstration of the stock price distribution over the
time.
3
4. Introduction to Data
• The dataset consists of the current stock prices of
three major companies: Microsoft, Apple, and
Tesla.
• Live data have been extracted from Yahoo Finance
and include their stock values from 2018 to 2023.
The data analysis goal is to identify various trends
and patterns in stock prices, specifically in terms of
percentage changes.
• Individuals can align their investments with market
dynamics and position themselves for strategic
success.
4
5. Introduction to Data
Date:The data on which the stock market ata was recorded.
Open:The opening price of the stock on the given date.
High:The highest price stock reached during the trading day.
Low:The lowest price the stock reached during the trading day.
Close:The closing price of the stock on the given date.
Adjusted Close:The adjusted closing price.
Volume:The total trading volume for the stock on the given date.
%chng:The percentage chance in company stock’s closing price compare
to the pevious day.
5
6. Results:Descriptive Analysis
6
Descriptive Statistics on Close Value of Tesla (2018-2023)
Mean 131.7902812
Standard Error 3.272219195
Median 97.6400035
Mode 23.620667
Standard Deviation 116.9789759
Sample Variance 13684.08079
Kurtosis -1.260371058
Skewness 0.468792298
Range 398.038668
Minimum 11.931333
Maximum 409.970001
Sum 168427.9793
Count 1278
Confidence Level(95.0%) 6.419516211
Descriptive Statistics on Close Value of Tesla (2018-223)
Mean 98.64651602
Standard Error 1.292090365
Median 95.6150015
Mode 145.860001
Standard Deviation 46.19110109
Sample Variance 2133.61782
Kurtosis -1.579983416
Skewness 0.121783854
Range 146.462494
Minimum 35.547501
Maximum 182.009995
Sum 126070.2475
Count 1278
Confidence Level(95.0%) 2.534853123
Descriptive Statistics on Close Value of MSFT(2018-2023)
Mean 194.5105477
Standard Error 2.076748161
Median 203.050003
Mode 92.330002
Standard
Deviation 74.2419314
Sample Variance 5511.864378
Kurtosis -1.290677547
Skewness 0.147216579
Range 258.099983
Minimum 85.010002
Maximum 343.109985
Sum 248584.4799
Count 1278
Confidence
Level(95.0%) 4.074213154
Mean: MSFT>Tesla>Apple MSFT: Highest averaged close value Median variance
Median: MSFT>>Tesla> Apple Tesla: Median averaged close value high variance.
SD: Apple<MSFT<Tesla Apple: Smallest averaged close value low variance.
7. 7
0
50
100
150
200
250
300
350
400
450
2017-09-22 2019-02-04 2020-06-18 2021-10-31 2023-03-15 2024-07-27
Closed Prices of MSFT, Tesla, Apple
MSFT Tesla Apple
Results
Microsoft has the highest value among the companies compared. Tesla's risk has been
increasing since late 2020, and its close value has been highly variable.
In July 2020, Tesla exceeded Apple's close value, indicating rapid improvement. closely to
ensure that we are adequately prepared to address any potential risks.
8. Results: Descriptive Analysis
8
• The given histograms have horizontal ranges from
0 to 500 with a bin size of 5.The vertical axis shoes
the frequency.
• Overall, all the Microsoft contributes with the
largest average (~194), wheras Apple has the
smallest valeur of 98.Regaring Tesla, it covers a
huge range of stock values from 12 to 411.The
smallest range covere by Apple which ranges 35-
182.
• Kurtosis is also an important parameter to which is
all negative (normal distribution is kurtosis=0),
represents the board distirbutions.
9. 9
• Minor ups&downs throught the
period of time(5 years) which is
~0.08.
• Greater positive/negative %
chance in 2020.
-0.1
-0.08
-0.06
-0.04
-0.02
0
0.02
0.04
0.06
0.08
0.1
MS%chng(2018-2023)
2-1-
2 2-1-2019 2-1-2020 2-01-2021 2-1-2022 2-1-20223
2-1-2018
Results
12. Relative Risk of Stocks
• The Capital Asset Pricing Model suggests that the
risk of a stock can be determined by calculating
the coefficient of a simple regression that
measures the excess return of the stock.
• For instance the MS% change, against the stock's
return on the market, represented by the SP%
change. A higher coefficient value indicates a risk
and a potential for higher returns.
12
13. Regression Analysis
13
Regression Statistics (MSFT)
Multiple R 0.777267351
R Square 0.604144535
Adjusted R Square 0.603833817
Standard Error 0.011344282
Observations 1276
Regression Statistics (Apple)
Multiple R 0.741061097
R Square 0.549171549
Adjusted R Square 0.54881768
Standard Error 0.013906498
Observations 1276
Regression Statistics (Tesla)
Multiple R 0.481253891
R Square 0.231605308
Adjusted R Square 0.231002172
Standard Error 0.038258302
Observations 1276
We conducted a regression analysis for Microsoft, Apple, and Tesla against the S&P500. Our findings
indicate that Microsoft and Apple have a correlation of approximately 78% and 74% respectively with the
S&P500. This suggests that they are likely to follow the market trend and will gain or lose as the market
fluctuates. In contrast, Tesla's performance is less correlated with the S&P500, and its results are more
independent from the overall market. This unique characteristic may lead to higher fluctuations and
presents risks that could impact the portfolio sensitivity balance of investors.
Upon analysis of the Adjusted R Square, it appears that a mere 23% of Tesla's stock can be attributed to changes in
the S&P 500. Conversely, Microsoft boasts the highest Adjusted R Square, nearing 1.000.
14. Regression Analysis
14
MS%chng vs SP%chng Coefficients Standard Error t Stat P-value Lower 95% Upper 95% Lower 95.0% Upper 95.0%
Intercept 0.000511957 0.000317757 1.611156 0.107393404 -0.000111428 0.001135342 -0.000111428 0.001135
SP%chng 1.221720353 0.027706712 44.09474 1.2283E-258 1.167364555 1.27607615 1.167364555 1.276076
Tesl%chng Coefficients Standard Error t Stat P-value Lower 95% Upper 95% Lower 95.0% Upper 95.0%
Intercept 0.001900944 0.001071628 1.773884 0.076321168 -0.0002 0.004003 -0.0002 0.004003
SP%chng 1.83105102 0.093440178 19.59597 6.06749E-75 1.647737 2.014365 1.647737 2.014365
App%chng vs SP%chng Coefficients Standard Error t Stat P-value Lower 95%
Upper
95%
Lower
95.0% Upper 95.0%
Intercept 0.000650919 0.000389526 1.671054 0.094956559 -0.00011 0.001415 -0.00011 0.001415
SP%chng 1.338008286 0.03396454 39.39427 1.2144E-222 1.271376 1.404641 1.271376 1.404641
As shown in the tables, Tesl%chng has the highest risk and return compared to SP%chng.
16. Regression Analysis:Beta Coefficient
• Based on the beta coefficient of the S&P500, it is observed
that Microsoft has the lowest market risk, whereas Tesla has
high market risk with high returns.
• This conclusion is supported by previous plots and Line Fit
plots. Although Microsoft and Apple have the lowest beta
coefficient, they can still be good investment options with less
risk involved in the long run.
• On the other hand, Tesla is a high-risk investment option, but it
also yields high returns in the short term.
16
17. Conclusion
• For investors looking for quick buy and sell options,
Tesla is a suitable choice as it offers high growth of
profits. On the other hand, Apple and Microsoft are
ideal for long-term investments as they are more
stable and less volatile compared to the S&P500,
which means less risk but long-term profits.
• It s worth noting that events like pandemics affect the
stock prices of all companies, but Tesla experiences
high price fluctuations, which could be attributed to
its future market vision of EV cars and battery-
powered equipment.
17