DAGINATSUKO /
www-rpcs3
This is a responsive website designed to house and promote the progress of RPCS3, an open-source PlayStation 3 emulator and debugger written in C++. This repository is regularly updated.
85/100 healthLoading repository data…
MKG0007 / repository
A regularly updated archive of Data Structures & Algorithms problems solved in C++, including solutions from LeetCode, GFG, and more. Part of my daily problem-solving journey since Jan 2025.
A transparent discovery signal based on current public GitHub metadata.
This score does not audit code, security, maintainers, documentation quality, or suitability. Verify the repository and its current documentation before adoption.
Welcome to my curated collection of LeetCode and GeeksforGeeks problems that I’ve been solving consistently since January 2025.
This repo is my personal space to:
| Problem Name | Difficulty |
|---|---|
| 0064-minimum-path-sum | Medium |
| Problem Name | Difficulty |
|---|---|
| 0062-unique-paths | Medium |
| 0064-minimum-path-sum | Medium |
| Problem Name | Difficulty |
|---|---|
| 0064-minimum-path-sum | Medium |
| Problem Name | Difficulty |
|---|---|
| 0062-unique-paths | Medium |
| Problem Name | Difficulty |
|---|---|
| 0062-unique-paths | Medium |
Selected from shared topics, language and repository description—not editorial ratings.
DAGINATSUKO /
This is a responsive website designed to house and promote the progress of RPCS3, an open-source PlayStation 3 emulator and debugger written in C++. This repository is regularly updated.
85/100 healthNestieGuilas /
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Sawyerdub37 /
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50/100 healthCodeLifeITs /
PRIVACY POLICY MODEL FOR MOBILE APPLICATIONS This privacy policy governs your use of the software application “Health Meter” for mobile devices that was created by Code Life IT Solutions. The Application is used to monitor your Health and fitness by calculating different health related things like BMI,Heart BPM,BEE,IBW and you also can make diet plans for your daily life. What information does the Application obtain and how is it used? User Provided Information The Application obtains the information you provide when you download and register the Application. Registration with us is optional. However, please keep in mind that you may not be able to use some of the features offered by the Application unless you register with us. When you register with us and use the Application, you generally provide (a) your name, email address, age, user name, password and other registration information; (b) transaction-related information, such as when you make purchases, respond to any offers, or download or use applications from us; (c) information you provide us when you contact us for help; (d) credit card information for purchase and use of the Application, and; (e) information you enter into our system when using the Application, such as contact information and project management information. We may also use the information you provided us to contact your from time to time to provide you with important information, required notices and marketing promotions. Does the Application collect precise real time location information of the device? This Application does not collect precise information about the location of your mobile device. Do third parties see and/or have access to information obtained by the Application? Only aggregated, anonymised data is periodically transmitted to external services to help us improve the Application and our service. We will share your information with third parties only in the ways that are described in this privacy statement. We may disclose User Provided and Automatically Collected Information: as required by law, such as to comply with a subpoena, or similar legal process; when we believe in good faith that disclosure is necessary to protect our rights, protect your safety or the safety of others, investigate fraud, or respond to a government request; with our trusted services providers who work on our behalf, do not have an independent use of the information we disclose to them, and have agreed to adhere to the rules set forth in this privacy statement. if Code Life IT Solution is involved in a merger, acquisition, or sale of all or a portion of its assets, you will be notified via email and/or a prominent notice on our Web site of any change in ownership or uses of this information, as well as any choices you may have regarding this information. What are my opt-out rights? You can stop all collection of information by the Application easily by uninstalling the Application. 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29/100 healthSarveshCS /
A collection of C programming workshop exercises and assignments from my college sessions. This repository includes daily practice files, covering topics like loops, arrays, functions, and more, updated regularly to track my learning progress.
28/100 healthLspringer24 /
# Tableau Homework - Citi Bike Analytics ### Before You Begin * This assignment will be saved to your tableau public account rather than github. * If you haven't already, be sure to create a tableau public account [here](https://public.tableau.com/s/). * The free tier of tableau only lets you save to their public server. This means that each time you save your file it will be uploaded to your tableau public profile. * You are able to load and continue working on the same workbook. * When you are finished with your assignment, you will turn in the URL to your tableau public workbook along with any additional files used for your analysis. ## Background  Congratulations on your new job! As the new lead analyst for the [New York Citi Bike](https://en.wikipedia.org/wiki/Citi_Bike) Program, you are now responsible for overseeing the largest bike sharing program in the United States. In your new role, you will be expected to generate regular reports for city officials looking to publicize and improve the city program. Since 2013, the Citi Bike Program has implemented a robust infrastructure for collecting data on the program's utilization. Through the team's efforts, each month bike data is collected, organized, and made public on the [Citi Bike Data](https://www.citibikenyc.com/system-data) webpage. However, while the data has been regularly updated, the team has yet to implement a dashboard or sophisticated reporting process. City officials have a number of questions on the program, so your first task on the job is to build a set of data reports to provide the answers. ## Task **Your task in this assignment is to aggregate the data found in the Citi Bike Trip History Logs and find two unexpected phenomena.** **Design 2-5 visualizations for each discovered phenomena (4-10 total). You may work with a timespan of your choosing. Optionally, you may merge multiple datasets from different periods.** **The following are some questions you may wish to tackle. Do not limit yourself to these questions; they are suggestions for a starting point. Be creative!** * How many trips have been recorded total during the chosen period? * By what percentage has total ridership grown? * How has the proportion of short-term customers and annual subscribers changed? * What are the peak hours in which bikes are used during summer months? * What are the peak hours in which bikes are used during winter months? * Today, what are the top 10 stations in the city for starting a journey? (Based on data, why do you hypothesize these are the top locations?) * Today, what are the top 10 stations in the city for ending a journey? (Based on data, why?) * Today, what are the bottom 10 stations in the city for starting a journey? (Based on data, why?) * Today, what are the bottom 10 stations in the city for ending a journey (Based on data, why?) * Today, what is the gender breakdown of active participants (Male v. Female)? * How effective has gender outreach been in increasing female ridership over the timespan? * How does the average trip duration change by age? * What is the average distance in miles that a bike is ridden? * Which bikes (by ID) are most likely due for repair or inspection in the timespan? * How variable is the utilization by bike ID? **Next, as a chronic over-achiever:** * Use your visualizations (does not have to be all of them) to design a dashboard for each phenomena. * The dashboards should be accompanied with an analysis explaining why the phenomena may be occuring. **City officials would also like to see one of the following visualizations:** * **Basic:** A static map that plots all bike stations with a visual indication of the most popular locations to start and end a journey with zip code data overlaid on top. * **Advanced:** A dynamic map that shows how each station's popularity changes over time (by month and year). Again, with zip code data overlaid on the map. * The map you choose should also be accompanied by a write-up unveiling any trends that were noticed during your analysis. **Finally, create your final presentation** * Create a Tableau story that brings together the visualizations, requested maps, and dashboards. * This is what will be presented to the officials, so be sure to make it professional, logical, and visually appealing. ## Considerations Remember, the people reading your analysis will **NOT** be data analysts. Your audience will be city officials, public administrators, and heads of New York City departments. Your data and analysis needs to be presented in a way that is focused, concise, easy-to-understand, and visually compelling. Your visualizations should be colorful enough to be included in press releases, and your analysis should be thoughtful enough for dictating programmatic changes. ## Submission Your final submission should include: * A link to your Tableau Public workbook that includes: * 4-10 Total "Phenomenon" Visualizations * 2 Dashboards * 1 City Official Map * 1 Story * A text or markdown file with your analysis on the phenomenons you uncovered from the data. ## Assessment Your final product will be assessed on the following metrics: * Analytic Rigor * Readability * Visual Attraction ## Hints * You may need to get creative in how you combine each of the CSV files. Don't just assume Tableau is the right tool for the job. At this point, you have a wealth of technical skills and research abilities. Dig for an approach that works and just go with it. * Don't just assume the CSV format hasn't changed since 2013. Subtle changes to the formats in any of your columns can blockade your analysis. Ensure your data is consistent and clean throughout your analysis. (Hint: Start and End Time change at some point in the history logs). * Consider building your visualizations with small extracts of the data (i.e. single files) before attempting to import the whole thing. What you will find is that importing all 20+ million records of data will create performance issues quickly. Welcome to "Big Data." * While utilizing all of the data may seem like a nice power play, consider the time-course in making your analysis. Is data from 2013 the most relevant for making bike replacement decisions today? Probably not. Don't let overwhelming data fool you. Ground your analysis in common sense. * Remember, data alone doesn't "answer" anything. You will need to accompany your data visualizations with clear and directed answers and analysis. * As is often the case, your clients are asking for a LOT of answers. Be considerate about their need-to-know and the importance of not "cramming in everything". Of course, answer each question, but do so in a way that is organized and presentable. * Since this is a project for the city, spend the appropriate time thinking through decisions on color schemes, fonts, and visual story-telling. The Citi Bike program has a clear visual footprint. As a suggestion, look for ways to have your data visualizations match their aesthetic tones. * Pay attention to labels. What exactly is "time duration"? What's the value of "age of birth"? You will almost certainly need calculated fields to get what you need. * Keep a close eye for obvious outliers or false data. Not everyone who signs up for the program is answering honestly. * In answering the question of "why" a phenomenon is occurring, consider adding other pieces of information on socioeconomic or other geographic data. Tableau has a map "layer" feature that you may find handy. * Don't be afraid to manipulate your data and play with settings in Tableau. Tableau is meant to be explored. We haven't covered all that you need -- so you will need to keep an eye out for new tricks. * Treat this as a serious endeavor! This is an opportunity to show future employers that you have what it takes to be a top-notch analyst. * Good luck! ### Copyright Data Boot Camp (C) 2019. All Rights Reserved.
28/100 health