Fundamental Ways We Use Data Visualizations
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The document discusses 5 fundamental ways that data visualizations are used: 1. To analyze data through visual representations like charts, graphs, maps and plots in order to see trends, anomalies, correlations and patterns. 2. To discover information buried in large datasets through interactive visualizations that allow exploration of data to find unknown information. 3. To support a story by providing context, engaging audiences and emphasizing key points, as effective speakers use visuals to make stories memorable. 4. To tell a story on its own, with some data visualizations serving as the story without text. 5. To teach, as visual learning is more efficient and retains information better than text alone.
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http://www.tableausoftware.com/learn/training.
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These slides are from recent talks by Andy Kirk of visualisingdata.com. The subject refers to the many different mindsets or roles that are required to be fulfilled for the effective design of data visualisation.
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Data Visualization 101: How to Design Charts and Graphs
Data Visualization 101: How to Design Charts and Graphs
From Data to Visualization, what happens in between?
From Data to Visualization, what happens in between?
Tableau Drive, A new methodology for scaling your analytic culture
Tableau Drive, A new methodology for scaling your analytic culture
Learning Tableau - Data, Graphs, Filters, Dashboards and Advanced features
Learning Tableau - Data, Graphs, Filters, Dashboards and Advanced features
Tableau Software - Business Analytics and Data Visualization
Tableau Software - Business Analytics and Data Visualization
Ähnlich wie Fundamental Ways We Use Data Visualizations
4-2 PPT team.pptx
The document discusses a machine learning model for detecting brain stroke from medical images. It presents the existing approaches that use algorithms like logistic regression and naive bayes that require large memory and provide inaccurate results. The proposed system uses an ensemble of machine learning algorithms like KNN, decision tree, random forest, SVM and CatBoost for classification. It standardizes the brain stroke dataset and evaluates the performance of different classifiers. The random forest classifier provided the highest accuracy among the models for detecting brain stroke.
Short story.pptx
This document describes a study that uses a hybrid machine learning model to predict heart disease. It tests three algorithms - Random Forest, Decision Tree, and a hybrid model combining Random Forest and Decision Tree. The hybrid model achieved the highest accuracy rate of 88.7% according to experimental results. The study uses the Cleveland heart disease dataset and implements the algorithms in Python using scikit-learn libraries. It finds that the hybrid and Random Forest models achieve similar high accuracy rates of around 88%, while the Decision Tree model achieves around 79% accuracy. The hybrid model architecture and workflow are described. Results show performance metrics for each model. The study concludes the hybrid model is effective for heart disease prediction and suggests future work exploring deep learning techniques and
Computational Biomedicine Lab: Current Members, pumpsandpipesmdhc
The Computational Biomedicine Lab has the following members: a director, research scientists, PhD students, an MSc student, and undergraduate students. The lab's mission is to develop algorithms to analyze multidimensional data and extract relevant information to aid humans. The lab aims to establish interdisciplinary collaboration and work on "grand challenge problems".
Short story_2.pptx
This document proposes a hybrid machine learning model to predict heart disease. It uses a dataset from UCI with 303 instances and 14 attributes on factors like age, sex, cholesterol levels, etc. It compares the performance of decision tree, random forest, and a hybrid model combining the two. The hybrid model achieves the best accuracy of 88.7% for heart disease prediction. It discusses implementing the models in Python using libraries like sklearn. The results show random forest and hybrid models more accurately detect cardiovascular issues compared to decision trees alone. The proposed hybrid model aims to improve uniqueness and optimization for heart disease risk prediction.
Brain_Stroke_prediction_AIL Presentation_V1.pptx
This document describes a project to develop a machine learning model for predicting the risk of brain stroke. It used a random forest algorithm trained on a dataset of patient attributes. The model achieved promising results in accurately predicting the likelihood of stroke. The project aims to create a user-friendly application with a frontend in Python and backend in MySQL to analyze stroke data and provide risk predictions. This could help enable early detection and prevention of strokes to improve outcomes. Future work may include integrating the model with electronic health records for real-time prediction capabilities.
stroke prediction AIL Presentation_V1.pptx
This document describes a project to develop a machine learning model for predicting the risk of brain stroke. It used a random forest algorithm trained on a dataset of patient attributes. The model achieved promising results in accurately predicting the likelihood of stroke. The project aims to create a user-friendly application with a frontend in Python and backend in MySQL to analyze stroke data and provide risk predictions. This could help enable early detection and prevention of strokes to improve outcomes. Future work may include integrating the model with electronic health records for real-time prediction capabilities.
Automatic brain tumor detection using adaptive region growing with thresholdi...
Brain cancer affects many people around the world. It's not just limited to the elderly; it is also recognized in children. With the development of image processing, early detection of mental development is possible. Some designers suggest deformable models, histogram averaging, or manual division. Due to constant manual intervention, these cycles can be uncomfortable and tiring. This research introduces a high-level system for the removal of malignant tumors from attractive reverberation images, based on a programmed and rapid distribution strategy for surface extraction and recreation for clinicians. To test the proposed system, acquired tomography images from the Cancer Imaging Archive were used. The results of the study strongly demonstrate that the intended structure is viable in brain tumor detection.
MH_Report
This document describes a degree project that explores using a morphable brain model to detect Alzheimer's disease based on deformation fields from brain scans. The project tested the method on low-quality MRI scans and achieved 94% accuracy, 97% sensitivity, and 92% specificity in classifying diseased and healthy brains, which is comparable to other methods using higher quality images. The morphable model approach has the advantage of being robust to intensity errors, making it applicable to lower quality clinical scans where data is more readily available.
A STUDY OF THE LITERATURE ON CARDIOVASCULAR DISEASE PREDICTION METHODS
1) The document discusses various machine learning and data mining techniques for predicting cardiovascular disease that have been studied in previous literature, including HRFLM, KNN, SVM, ANN, EHR modeling, decision trees, HDFS, and naive Bayes.
2) Accuracy rates from prior studies that used these techniques ranged from 78% to 91.38%. The highest accuracy was obtained using a hybrid of random forest and linear models.
3) Going forward, the authors suggest implementing prediction systems where needed and improving attribute selection to increase accuracy. More research is still needed to better predict early-stage heart disease.
50120140503014
The document describes a study that aims to detect brain tumors and edema in MRI images using MATLAB. It discusses how MRI is commonly used to identify brain anomalies. The proposed methodology uses basic image processing techniques in MATLAB, including preprocessing, enhancement, segmentation, and morphological operations to detect and segment tumors and edema. The final output highlights the boundaries between tumors and edema superimposed on the original MRI image to aid physicians in diagnosis and surgical planning.
MIND READING COMPUTERS PPT
The document discusses a "mind-reading computer" system being developed that can analyze a person's facial expressions in real time to infer their underlying mental state, such as agreement, interest, or confusion. It works by measuring blood volume and oxygen levels around the brain using functional near-infrared spectroscopy sensors in a headband. Potential applications include predicting bankruptcy, facial recognition, marketing, and assisting paralyzed or disabled people by interpreting their thoughts. Challenges include privacy concerns and ensuring it can accurately read many different people. The research aims to enhance human-computer interaction through empathetic responses.
School Stuff - Clip Art Library. Online assignment writing service.
The document provides a descriptive first-person account of waking up on the first December day. The narrator wakes slowly from a deep slumber, with sunlight barely peeking through bamboo blinds, leaving the bed in deep purple shadows. The room is still chilly, and the narrator puts on slipper socks before slowly opening the window blinds with a yawn and stretch, revealing a winter wonderland outside covered in a fresh blanket of snow.
IRJET- Computer vs Human Brain: An Analytical Approach and Overview
This document compares the human brain and computers. It discusses that while computers can outperform humans on tasks like calculations, the human brain has superior adaptability, learning ability, and qualitative analysis. The brain has processing power estimated at 100 million instructions per second, memory capacity of 100 million megabytes, and learns quickly from experiences. Computers are improving in learning but still cannot match human abilities like emotional intelligence. Overall, the human brain remains more advanced than even the most powerful supercomputers in important ways like adaptability, though computers excel at specific quantitative tasks.
Essay On Image Processing
The document discusses image processing techniques for measuring dimensions from images. It proposes using image processing to determine lengths, diameters, splines, and caliper measurements by acquiring an image, smoothing it, segmenting it, and applying the Euclidean algorithm to find exact measurements in pixels. The approach could provide more accurate measurements than physical scales or tapes by marking individual pixel endpoints rather than human-visible lengths.
Research on Haberman dataset also business required document
- The document provides an analysis of the Haberman's breast cancer survival dataset which contains information on 306 female patients who underwent breast cancer surgery between 1958-1970.
- Exploratory data analysis techniques like univariate analysis, multivariate analysis, and data visualization using ggplot were used to understand relationships between age, year of operation, lymph node status and survival outcome.
- Key visualizations included bar plots to show survival rates, scatter plots to examine relationships between age and year of operation colored by survival status, and identifying trends over time.
BRAIN PORTION EXTRACTION USING HYBRID CONTOUR TECHNIQUE USING SETS FOR T1 WEI...
Brain portion extraction from magnetic resonance image (MRI) of human head scan is an important
process in medical image analysis. In this paper, we propose a computationally simple and a robust brain
segmentation method. This method is based on forming a contour using the intensity values that satisfy a
set property and detect the boundary of the brain. After detecting the brain boundary the brain portion is
segmented. Experiments were conducted by applying the method on 3 volumes of T1 MRI data set collected
from Internet Brain Segmentation Repository(IBSR) and compared the results with that of the popular
skull stripping method Brain Extraction Tool (BET). The experimental results show that the proposed
algorithm gives better results than that of BET.
BRAIN PORTION EXTRACTION USING HYBRID CONTOUR TECHNIQUE USING SETS FOR T1 WEI...
Brain portion extraction from magnetic resonance image (MRI) of human head scan is an important process in medical image analysis. In this paper, we propose a computationally simple and a robust brain segmentation method. This method is based on forming a contour using the intensity values that satisfy a set property and detect the boundary of the brain. After detecting the brain boundary the brain portion is segmented. Experiments were conducted by applying the method on 3 volumes of T1 MRI data set collected
from Internet Brain Segmentation Repository(IBSR) and compared the results with that of the popular skull stripping method Brain Extraction Tool (BET). The experimental results show that the proposed algorithm gives better results than that of BET.
Survey of various methods used for integrating machine learning into brain tu...
This document surveys various machine learning methods used for integrating machine learning into brain tumor detection and classification from MRI images. It discusses preprocessing techniques like median filtering, Gaussian high pass filtering, and morphology dilation to enhance images. Segmentation techniques covered include thresholding, edge detection, region-based, watershed, Berkeley wavelet transform, K-means clustering, and neural networks. Feature extraction calculates correlation, skewness. Classification algorithms discussed are multi-layer perceptron, naive Bayes, and support vector machines. The document provides an overview of key steps and methods for machine learning-based brain tumor detection and segmentation from MRI images.
Classification of Abnormalities in Brain MRI Images Using PCA and SVM
The impact of digital image processing is increasing by the day for its use in the medical and research areas. Medical image classification scheme has been on the increase in order to help physicians and medical practitioners in their evaluation and analysis of diseases. Several classification schemes such as Artificial Neural Network (ANN), Bayes Classification, Support Vector Machine (SVM) and K-Means Nearest Neighbor have been used. In this paper, we evaluate and compared the performance of SVM and PCA by analyzing diseased image of the brain (Alzheimer) and normal (MRI) brain. The results show that Principal Components Analysis outperforms the Support Vector Machine in terms of training time and recognition time.
20120140506005
This document summarizes a study that used artificial neural networks (ANN) to segment MRI brain images into gray matter, white matter, and cerebrospinal fluid in order to analyze and classify three neurodegenerative diseases: Alzheimer's disease, Parkinson's disease, and epilepsy. Real MRI data from patients with these diseases was preprocessed, features were extracted using Gabor filters, and ANN was used to classify tissues. The ANN approach achieved 96.13% accuracy for Alzheimer's classification, 93.26% for Parkinson's, and 91.33% for epilepsy. The study demonstrated that ANN is effective for automated brain tissue segmentation and shows potential for assisting in diagnosis of neurological diseases.
Ähnlich wie Fundamental Ways We Use Data Visualizations (20)
Computational Biomedicine Lab: Current Members, pumpsandpipesmdhc
Computational Biomedicine Lab: Current Members, pumpsandpipesmdhc
Automatic brain tumor detection using adaptive region growing with thresholdi...
Automatic brain tumor detection using adaptive region growing with thresholdi...
A STUDY OF THE LITERATURE ON CARDIOVASCULAR DISEASE PREDICTION METHODS
A STUDY OF THE LITERATURE ON CARDIOVASCULAR DISEASE PREDICTION METHODS
School Stuff - Clip Art Library. Online assignment writing service.
School Stuff - Clip Art Library. Online assignment writing service.
IRJET- Computer vs Human Brain: An Analytical Approach and Overview
IRJET- Computer vs Human Brain: An Analytical Approach and Overview
Research on Haberman dataset also business required document
Research on Haberman dataset also business required document
BRAIN PORTION EXTRACTION USING HYBRID CONTOUR TECHNIQUE USING SETS FOR T1 WEI...
BRAIN PORTION EXTRACTION USING HYBRID CONTOUR TECHNIQUE USING SETS FOR T1 WEI...
BRAIN PORTION EXTRACTION USING HYBRID CONTOUR TECHNIQUE USING SETS FOR T1 WEI...
BRAIN PORTION EXTRACTION USING HYBRID CONTOUR TECHNIQUE USING SETS FOR T1 WEI...
Survey of various methods used for integrating machine learning into brain tu...
Survey of various methods used for integrating machine learning into brain tu...
Classification of Abnormalities in Brain MRI Images Using PCA and SVM
Classification of Abnormalities in Brain MRI Images Using PCA and SVM
Kürzlich hochgeladen
DSSML24_tspann_CodelessGenerativeAIPipelines
Codeless Generative AI Pipelines
(GenAI with Milvus)
https://ml.dssconf.pl/user.html#!/lecture/DSSML24-041a/rate
Discover the potential of real-time streaming in the context of GenAI as we delve into the intricacies of Apache NiFi and its capabilities. Learn how this tool can significantly simplify the data engineering workflow for GenAI applications, allowing you to focus on the creative aspects rather than the technical complexities. I will guide you through practical examples and use cases, showing the impact of automation on prompt building. From data ingestion to transformation and delivery, witness how Apache NiFi streamlines the entire pipeline, ensuring a smooth and hassle-free experience.
Timothy Spann
https://www.youtube.com/@FLaNK-Stack
https://medium.com/@tspann
https://www.datainmotion.dev/
milvus, unstructured data, vector database, zilliz, cloud, vectors, python, deep learning, generative ai, genai, nifi, kafka, flink, streaming, iot, edge
一比一原版(UO毕业证)渥太华大学毕业证如何办理
UO毕业证录取书【微信95270640】购买（渥太华大学毕业证成绩单硕士学历）Q微信95270640代办UO学历认证留信网伪造渥太华大学学位证书精仿渥太华大学本科/硕士文凭证书补办渥太华大学 diplomaoffer,Transcript购买渥太华大学毕业证成绩单购买UO假毕业证学位证书购买伪造渥太华大学文凭证书学位证书,专业办理雅思、托福成绩单，学生ID卡，在读证明，海外各大学offer录取通知书，毕业证书，成绩单，文凭等材料:1:1完美还原毕业证、offer录取通知书、学生卡等各种在读或毕业材料的防伪工艺（包括 烫金、烫银、钢印、底纹、凹凸版、水印、防伪光标、热敏防伪、文字图案浮雕，激光镭射，紫外荧光，温感光标）学校原版上有的工艺我们一样不会少，不论是老版本还是最新版本，都能保证最高程度还原，力争完美以求让所有同学都能享受到完美的品质服务。
文凭办理流程：
1客户提供办理信息：姓名生日专业学位毕业时间等（如信息不确定可以咨询顾问：微信95270640我们有专业老师帮你查询）；
2开始安排制作毕业证成绩单电子图；
3毕业证成绩单电子版做好以后发送给您确认；
4毕业证成绩单电子版您确认信息无误之后安排制作成品；
5成品做好拍照或者视频给您确认；
6快递给客户（国内顺丰国外DHLUPS等快读邮寄）。
7完成交易删除客户资料
高精端提供以下服务：
一：渥太华大学渥太华大学毕业证文凭证书全套材料从防伪到印刷水印底纹到钢印烫金
二：真实使馆认证（留学人员回国证明）使馆存档
三：真实教育部认证教育部存档教育部留服网站可查
四：留信认证留学生信息网站可查
五：与学校颁发的相关证件1:1纸质尺寸制定（定期向各大院校毕业生购买最新版本毕,业证成绩单保证您拿到的是鲁昂大学内部最新版本毕业证成绩单微信95270640）
A.为什么留学生需要操作留信认证?
留信认证全称全国留学生信息服务网认证,隶属于北京中科院。①留信认证门槛条件更低,费用更美丽,并且包过,完单周期短,效率高②留信认证虽然不能去国企,但是一般的公司都没有问题,因为国内很多公司连基本的留学生学历认证都不了解。这对于留学生来说,这就比自己光拿一个证书更有说服力,因为留学学历可以在留信网站上进行查询!
B.为什么我们提供的毕业证成绩单具有使用价值？
查询留服认证是国内鉴别留学生海外学历的唯一途径但认证只是个体行为不是所有留学生都操作所以没有办理认证的留学生的学历在国内也是查询不到的他们也仅仅只有一张文凭。所以这时候我们提供的和学校颁发的一模一样的毕业证成绩单就有了使用价值。只硕大的蛇皮袋手里拎着长铁钩正站在门口朝黑色的屋内张望不好坏人小偷山娃一怔却也灵机一动立马仰起头双手拢在嘴边朝楼上大喊：“爸爸爸——有人找——那人一听朝山娃尴尬地笑笑悻悻地走了山娃立马“嘭的一声将铁门锁死心却咚咚地乱跳当山娃跟父亲说起这事时父亲很吃惊抚摸着山娃的头说还好醒得及时要不家早被人掏空了到时连电视也没得看啰不过父亲还是夸山娃能临危不乱随机应变有胆有谋山娃笑笑说那都是书上学的看童话和小说时多
Beyond the Basics of A/B Tests: Highly Innovative Experimentation Tactics You...
This webinar will explore cutting-edge, less familiar but powerful experimentation methodologies which address well-known limitations of standard A/B Testing. Designed for data and product leaders, this session aims to inspire the embrace of innovative approaches and provide insights into the frontiers of experimentation!
University of New South Wales degree offer diploma Transcript
澳洲UNSW毕业证书制作新南威尔士大学假文凭定制Q微168899991做UNSW留信网教留服认证海牙认证改UNSW成绩单GPA做UNSW假学位证假文凭高仿毕业证申请新南威尔士大学University of New South Wales degree offer diploma Transcript
Global Situational Awareness of A.I. and where its headed
You can see the future first in San Francisco.
Over the past year, the talk of the town has shifted from $10 billion compute clusters to $100 billion clusters to trillion-dollar clusters. Every six months another zero is added to the boardroom plans. Behind the scenes, there’s a fierce scramble to secure every power contract still available for the rest of the decade, every voltage transformer that can possibly be procured. American big business is gearing up to pour trillions of dollars into a long-unseen mobilization of American industrial might. By the end of the decade, American electricity production will have grown tens of percent; from the shale fields of Pennsylvania to the solar farms of Nevada, hundreds of millions of GPUs will hum.
The AGI race has begun. We are building machines that can think and reason. By 2025/26, these machines will outpace college graduates. By the end of the decade, they will be smarter than you or I; we will have superintelligence, in the true sense of the word. Along the way, national security forces not seen in half a century will be un-leashed, and before long, The Project will be on. If we’re lucky, we’ll be in an all-out race with the CCP; if we’re unlucky, an all-out war.
Everyone is now talking about AI, but few have the faintest glimmer of what is about to hit them. Nvidia analysts still think 2024 might be close to the peak. Mainstream pundits are stuck on the wilful blindness of “it’s just predicting the next word”. They see only hype and business-as-usual; at most they entertain another internet-scale technological change.
Before long, the world will wake up. But right now, there are perhaps a few hundred people, most of them in San Francisco and the AI labs, that have situational awareness. Through whatever peculiar forces of fate, I have found myself amongst them. A few years ago, these people were derided as crazy—but they trusted the trendlines, which allowed them to correctly predict the AI advances of the past few years. Whether these people are also right about the next few years remains to be seen. But these are very smart people—the smartest people I have ever met—and they are the ones building this technology. Perhaps they will be an odd footnote in history, or perhaps they will go down in history like Szilard and Oppenheimer and Teller. If they are seeing the future even close to correctly, we are in for a wild ride.
Let me tell you what we see.
一比一原版(harvard毕业证书）哈佛大学毕业证如何办理
一模一样【微信：A575476】【(harvard毕业证书）哈佛大学毕业证成绩单Offer】【微信：A575476】（留信学历认证永久存档查询）采用学校原版纸张、特殊工艺完全按照原版一比一制作（包括：隐形水印，阴影底纹，钢印LOGO烫金烫银，LOGO烫金烫银复合重叠，文字图案浮雕，激光镭射，紫外荧光，温感，复印防伪）行业标杆！精益求精，诚心合作，真诚制作！多年品质 ,按需精细制作，24小时接单,全套进口原装设备，十五年致力于帮助留学生解决难题，业务范围有加拿大、英国、澳洲、韩国、美国、新加坡，新西兰等学历材料，包您满意。
【业务选择办理准则】
一、工作未确定，回国需先给父母、亲戚朋友看下文凭的情况，办理一份就读学校的毕业证【微信：A575476】文凭即可
二、回国进私企、外企、自己做生意的情况，这些单位是不查询毕业证真伪的，而且国内没有渠道去查询国外文凭的真假，也不需要提供真实教育部认证。鉴于此，办理一份毕业证【微信：A575476】即可
三、进国企，银行，事业单位，考公务员等等，这些单位是必需要提供真实教育部认证的，办理教育部认证所需资料众多且烦琐，所有材料您都必须提供原件，我们凭借丰富的经验，快捷的绿色通道帮您快速整合材料，让您少走弯路。
留信网认证的作用:
1:该专业认证可证明留学生真实身份
2:同时对留学生所学专业登记给予评定
3:国家专业人才认证中心颁发入库证书
4:这个认证书并且可以归档倒地方
5:凡事获得留信网入网的信息将会逐步更新到个人身份内，将在公安局网内查询个人身份证信息后，同步读取人才网入库信息
6:个人职称评审加20分
7:个人信誉贷款加10分
8:在国家人才网主办的国家网络招聘大会中纳入资料，供国家高端企业选择人才
→ 【关于价格问题（保证一手价格）
我们所定的价格是非常合理的，而且我们现在做得单子大多数都是代理和回头客户介绍的所以一般现在有新的单子 我给客户的都是第一手的代理价格，因为我想坦诚对待大家 不想跟大家在价格方面浪费时间
对于老客户或者被老客户介绍过来的朋友，我们都会适当给一些优惠。
选择实体注册公司办理，更放心，更安全！我们的承诺：可来公司面谈，可签订合同，会陪同客户一起到教育部认证窗口递交认证材料，客户在教育部官方认证查询网站查询到认证通过结果后付款，不成功不收费！
Predictably Improve Your B2B Tech Company's Performance by Leveraging Data
Harness the power of AI-backed reports, benchmarking and data analysis to predict trends and detect anomalies in your marketing efforts.
Peter Caputa, CEO at Databox, reveals how you can discover the strategies and tools to increase your growth rate (and margins!).
From metrics to track to data habits to pick up, enhance your reporting for powerful insights to improve your B2B tech company's marketing.
- - -
This is the webinar recording from the June 2024 HubSpot User Group (HUG) for B2B Technology USA.
Watch the video recording at https://youtu.be/5vjwGfPN9lw
Sign up for future HUG events at https://events.hubspot.com/b2b-technology-usa/
Intelligence supported media monitoring in veterinary medicine
Media monitoring in veterinary medicien
06-12-2024-BudapestDataForum-BuildingReal-timePipelineswithFLaNK AIM
06-12-2024-BudapestDataForum-BuildingReal-timePipelineswithFLaNK AIM
by
Timothy Spann
Principal Developer Advocate
https://budapestdata.hu/2024/en/
https://budapestml.hu/2024/en/
tim.spann@zilliz.com
https://www.linkedin.com/in/timothyspann/
https://x.com/paasdev
https://github.com/tspannhw
https://www.youtube.com/@flank-stack
milvus
vector database
gen ai
generative ai
deep learning
machine learning
apache nifi
apache pulsar
apache kafka
apache flink
"Financial Odyssey: Navigating Past Performance Through Diverse Analytical Lens"
Embark on a captivating financial journey with 'Financial Odyssey,' our hackathon project. Delve deep into the past performance of two companies as we employ an array of financial statement analysis techniques. From ratio analysis to trend analysis, uncover insights crucial for informed decision-making in the dynamic world of finance."
End-to-end pipeline agility - Berlin Buzzwords 2024
We describe how we achieve high change agility in data engineering by eliminating the fear of breaking downstream data pipelines through end-to-end pipeline testing, and by using schema metaprogramming to safely eliminate boilerplate involved in changes that affect whole pipelines.
A quick poll on agility in changing pipelines from end to end indicated a huge span in capabilities. For the question "How long time does it take for all downstream pipelines to be adapted to an upstream change," the median response was 6 months, but some respondents could do it in less than a day. When quantitative data engineering differences between the best and worst are measured, the span is often 100x-1000x, sometimes even more.
A long time ago, we suffered at Spotify from fear of changing pipelines due to not knowing what the impact might be downstream. We made plans for a technical solution to test pipelines end-to-end to mitigate that fear, but the effort failed for cultural reasons. We eventually solved this challenge, but in a different context. In this presentation we will describe how we test full pipelines effectively by manipulating workflow orchestration, which enables us to make changes in pipelines without fear of breaking downstream.
Making schema changes that affect many jobs also involves a lot of toil and boilerplate. Using schema-on-read mitigates some of it, but has drawbacks since it makes it more difficult to detect errors early. We will describe how we have rejected this tradeoff by applying schema metaprogramming, eliminating boilerplate but keeping the protection of static typing, thereby further improving agility to quickly modify data pipelines without fear.
Analysis insight about a Flyball dog competition team's performance
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STATATHON: Unleashing the Power of Statistics in a 48-Hour Knowledge Extravag...
"Join us for STATATHON, a dynamic 2-day event dedicated to exploring statistical knowledge and its real-world applications. From theory to practice, participants engage in intensive learning sessions, workshops, and challenges, fostering a deeper understanding of statistical methodologies and their significance in various fields."
原版一比一弗林德斯大学毕业证(Flinders毕业证书)如何办理
原版制作【微信:41543339】【弗林德斯大学毕业证(Flinders毕业证书)】【微信:41543339】《成绩单、外壳、雅思、offer、真实留信官方学历认证（永久存档/真实可查）》采用学校原版纸张、特殊工艺完全按照原版一比一制作（包括：隐形水印，阴影底纹，钢印LOGO烫金烫银，LOGO烫金烫银复合重叠，文字图案浮雕，激光镭射，紫外荧光，温感，复印防伪）行业标杆！精益求精，诚心合作，真诚制作！多年品质 ,按需精细制作，24小时接单,全套进口原装设备，十五年致力于帮助留学生解决难题，业务范围有加拿大、英国、澳洲、韩国、美国、新加坡，新西兰等学历材料，包您满意。
【我们承诺采用的是学校原版纸张（纸质、底色、纹路）我们拥有全套进口原装设备，特殊工艺都是采用不同机器制作，仿真度基本可以达到100%，所有工艺效果都可提前给客户展示，不满意可以根据客户要求进行调整，直到满意为止！】
【业务选择办理准则】
一、工作未确定，回国需先给父母、亲戚朋友看下文凭的情况，办理一份就读学校的毕业证【微信41543339】文凭即可
二、回国进私企、外企、自己做生意的情况，这些单位是不查询毕业证真伪的，而且国内没有渠道去查询国外文凭的真假，也不需要提供真实教育部认证。鉴于此，办理一份毕业证【微信41543339】即可
三、进国企，银行，事业单位，考公务员等等，这些单位是必需要提供真实教育部认证的，办理教育部认证所需资料众多且烦琐，所有材料您都必须提供原件，我们凭借丰富的经验，快捷的绿色通道帮您快速整合材料，让您少走弯路。
留信网认证的作用:
1:该专业认证可证明留学生真实身份
2:同时对留学生所学专业登记给予评定
3:国家专业人才认证中心颁发入库证书
4:这个认证书并且可以归档倒地方
5:凡事获得留信网入网的信息将会逐步更新到个人身份内，将在公安局网内查询个人身份证信息后，同步读取人才网入库信息
6:个人职称评审加20分
7:个人信誉贷款加10分
8:在国家人才网主办的国家网络招聘大会中纳入资料，供国家高端企业选择人才
留信网服务项目：
1、留学生专业人才库服务（留信分析）
2、国（境）学习人员提供就业推荐信服务
3、留学人员区块链存储服务
【关于价格问题（保证一手价格）】
我们所定的价格是非常合理的，而且我们现在做得单子大多数都是代理和回头客户介绍的所以一般现在有新的单子 我给客户的都是第一手的代理价格，因为我想坦诚对待大家 不想跟大家在价格方面浪费时间
对于老客户或者被老客户介绍过来的朋友，我们都会适当给一些优惠。
选择实体注册公司办理，更放心，更安全！我们的承诺：客户在留信官方认证查询网站查询到认证通过结果后付款，不成功不收费！
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Fundamental Ways We Use Data Visualizations
- 4. the connection the eye between and brain ... fast
- 5. the brain receives Mb/s 8.96 megabits of data8.96 from the eye every second Koch, K., (2006). How Much the Eye Tells the Brain. Current Biology, 16(14), 1428-1434 Retrieved from http://www.sciencedirect.com/science/article/pii/S0960982206016393
- 6. the speed of sight 8.96Mb/s
- 7. the average person comprehends 120 wordsper minute reading
- 8. that is equivalent to b/s 81.6 bits of data81.6 per second
- 9. let’s compare reading comprehension speed visual comprehension speed *not close to fitting on this chart
- 10. we are not wired to read fast
- 11. we are wired to visualize fast
- 12. data visualizations when used can be Awesome right way Tools the
- 13. there are five we use fundamental ways data visualizations 5effectively
- 14. Bike Rides and Running Routes Heat Map from Strava Labs Retrieved from http://labs.strava.com/heatmap/#6/-83.63437/39.30140/blue/both 1To analyze
- 16. these tools help us trendssee anomalies correlations patterns
- 17. Waves Interactive Data Visualization From Initial State Retrieved from https://initialstate.com/Tools/Waves
- 19. Student Performance Dashboard by Stephen Few Retrieved from http://www.perceptualedge.com/blog/?p=1466 a well-designed dashboardallows you to Analyzemassive datasets At-a-glance
- 20. Student Performance Dashboard by Stephen Few Retrieved from http://www.perceptualedge.com/blog/?p=1466
- 21. 2To discover
- 22. if you need to find something buried inside data points1,000,000
- 23. would you rather reador 1,000,000 data points See ?
- 24. what if you don’t know exactly what it is you are even looking for?
- 25. you can’t build a dashboard for that!
- 26. interactive data visualizations Lines Interactive Data Visualization From Initial State Retrieved from https://initialstate.com/Tools/Lines let you mine data to discover information
- 28. the right data visualization can contextprovide engagethe audience emphasizekey points
- 29. great speakers use visuals to make their memorable story
- 30. 4To Tell A Story By Itself
- 31. sometimes story the data visualization is the ... a story without a sentence
- 32. Brazil World Cup 2014: Who’s Your Pick? by InfographicBox IDS Retrieved from http://visual.ly/brazil-world-cup-2014-who’s-your-pick
- 33. 5To teach
- 34. our brains perform and more efficiently more information is retained when we learn from visuals
- 35. to analyze to discover to support a story to tell a story to teach 1 2 3 4 5 the fundamental ways we use data visualizations
- 36. https://www.initialstate.com we build data visualizations for product debug