The document contains data on various industries from 2008-2018 including average rates, monthly rates, and yearly rates. It analyzes the computer systems design industry, which had the highest average rates in recent years, as well as the building inspection industry, which had the lowest. The data shows all industries increased over the 10-year period from 2008 to 2018. The document also notes September had the highest values across industries each year.
Data Analysis and Reporting spreadsheet AlexLeite33
Here is an example of a report, pivot table, and insights, complete with conditional formatting, created for my Data Analysis and Reporting course at Full Sail University.
Data Analysis and Reporting spreadsheet AlexLeite33
Here is an example of a report, pivot table, and insights, complete with conditional formatting, created for my Data Analysis and Reporting course at Full Sail University.
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Empowering the Data Analytics Ecosystem: A Laser Focus on Value
The data analytics ecosystem thrives when every component functions at its peak, unlocking the true potential of data. Here's a laser focus on key areas for an empowered ecosystem:
1. Democratize Access, Not Data:
Granular Access Controls: Provide users with self-service tools tailored to their specific needs, preventing data overload and misuse.
Data Catalogs: Implement robust data catalogs for easy discovery and understanding of available data sources.
2. Foster Collaboration with Clear Roles:
Data Mesh Architecture: Break down data silos by creating a distributed data ownership model with clear ownership and responsibilities.
Collaborative Workspaces: Utilize interactive platforms where data scientists, analysts, and domain experts can work seamlessly together.
3. Leverage Advanced Analytics Strategically:
AI-powered Automation: Automate repetitive tasks like data cleaning and feature engineering, freeing up data talent for higher-level analysis.
Right-Tool Selection: Strategically choose the most effective advanced analytics techniques (e.g., AI, ML) based on specific business problems.
4. Prioritize Data Quality with Automation:
Automated Data Validation: Implement automated data quality checks to identify and rectify errors at the source, minimizing downstream issues.
Data Lineage Tracking: Track the flow of data throughout the ecosystem, ensuring transparency and facilitating root cause analysis for errors.
5. Cultivate a Data-Driven Mindset:
Metrics-Driven Performance Management: Align KPIs and performance metrics with data-driven insights to ensure actionable decision making.
Data Storytelling Workshops: Equip stakeholders with the skills to translate complex data findings into compelling narratives that drive action.
Benefits of a Precise Ecosystem:
Sharpened Focus: Precise access and clear roles ensure everyone works with the most relevant data, maximizing efficiency.
Actionable Insights: Strategic analytics and automated quality checks lead to more reliable and actionable data insights.
Continuous Improvement: Data-driven performance management fosters a culture of learning and continuous improvement.
Sustainable Growth: Empowered by data, organizations can make informed decisions to drive sustainable growth and innovation.
By focusing on these precise actions, organizations can create an empowered data analytics ecosystem that delivers real value by driving data-driven decisions and maximizing the return on their data investment.
Chatty Kathy - UNC Bootcamp Final Project Presentation - Final Version - 5.23...John Andrews
SlideShare Description for "Chatty Kathy - UNC Bootcamp Final Project Presentation"
Title: Chatty Kathy: Enhancing Physical Activity Among Older Adults
Description:
Discover how Chatty Kathy, an innovative project developed at the UNC Bootcamp, aims to tackle the challenge of low physical activity among older adults. Our AI-driven solution uses peer interaction to boost and sustain exercise levels, significantly improving health outcomes. This presentation covers our problem statement, the rationale behind Chatty Kathy, synthetic data and persona creation, model performance metrics, a visual demonstration of the project, and potential future developments. Join us for an insightful Q&A session to explore the potential of this groundbreaking project.
Project Team: Jay Requarth, Jana Avery, John Andrews, Dr. Dick Davis II, Nee Buntoum, Nam Yeongjin & Mat Nicholas
Levelwise PageRank with Loop-Based Dead End Handling Strategy : SHORT REPORT ...Subhajit Sahu
Abstract — Levelwise PageRank is an alternative method of PageRank computation which decomposes the input graph into a directed acyclic block-graph of strongly connected components, and processes them in topological order, one level at a time. This enables calculation for ranks in a distributed fashion without per-iteration communication, unlike the standard method where all vertices are processed in each iteration. It however comes with a precondition of the absence of dead ends in the input graph. Here, the native non-distributed performance of Levelwise PageRank was compared against Monolithic PageRank on a CPU as well as a GPU. To ensure a fair comparison, Monolithic PageRank was also performed on a graph where vertices were split by components. Results indicate that Levelwise PageRank is about as fast as Monolithic PageRank on the CPU, but quite a bit slower on the GPU. Slowdown on the GPU is likely caused by a large submission of small workloads, and expected to be non-issue when the computation is performed on massive graphs.
Adjusting primitives for graph : SHORT REPORT / NOTESSubhajit Sahu
Graph algorithms, like PageRank Compressed Sparse Row (CSR) is an adjacency-list based graph representation that is
Multiply with different modes (map)
1. Performance of sequential execution based vs OpenMP based vector multiply.
2. Comparing various launch configs for CUDA based vector multiply.
Sum with different storage types (reduce)
1. Performance of vector element sum using float vs bfloat16 as the storage type.
Sum with different modes (reduce)
1. Performance of sequential execution based vs OpenMP based vector element sum.
2. Performance of memcpy vs in-place based CUDA based vector element sum.
3. Comparing various launch configs for CUDA based vector element sum (memcpy).
4. Comparing various launch configs for CUDA based vector element sum (in-place).
Sum with in-place strategies of CUDA mode (reduce)
1. Comparing various launch configs for CUDA based vector element sum (in-place).
Explore our comprehensive data analysis project presentation on predicting product ad campaign performance. Learn how data-driven insights can optimize your marketing strategies and enhance campaign effectiveness. Perfect for professionals and students looking to understand the power of data analysis in advertising. for more details visit: https://bostoninstituteofanalytics.org/data-science-and-artificial-intelligence/
Opendatabay - Open Data Marketplace.pptxOpendatabay
Opendatabay.com unlocks the power of data for everyone. Open Data Marketplace fosters a collaborative hub for data enthusiasts to explore, share, and contribute to a vast collection of datasets.
First ever open hub for data enthusiasts to collaborate and innovate. A platform to explore, share, and contribute to a vast collection of datasets. Through robust quality control and innovative technologies like blockchain verification, opendatabay ensures the authenticity and reliability of datasets, empowering users to make data-driven decisions with confidence. Leverage cutting-edge AI technologies to enhance the data exploration, analysis, and discovery experience.
From intelligent search and recommendations to automated data productisation and quotation, Opendatabay AI-driven features streamline the data workflow. Finding the data you need shouldn't be a complex. Opendatabay simplifies the data acquisition process with an intuitive interface and robust search tools. Effortlessly explore, discover, and access the data you need, allowing you to focus on extracting valuable insights. Opendatabay breaks new ground with a dedicated, AI-generated, synthetic datasets.
Leverage these privacy-preserving datasets for training and testing AI models without compromising sensitive information. Opendatabay prioritizes transparency by providing detailed metadata, provenance information, and usage guidelines for each dataset, ensuring users have a comprehensive understanding of the data they're working with. By leveraging a powerful combination of distributed ledger technology and rigorous third-party audits Opendatabay ensures the authenticity and reliability of every dataset. Security is at the core of Opendatabay. Marketplace implements stringent security measures, including encryption, access controls, and regular vulnerability assessments, to safeguard your data and protect your privacy.
1. Summary report
Ali David
Date created: 12/14/18
Date opened: 12/15/18
Industry Series ID
Professional and technical services CEU6054000003
Building inspection, surveying, and mapping services CEU6054137003
Computer systems design and related services CEU6054150003
Management and technical consulting services CEU6054160003
Advertising and related services CEU6054180003
I chose these industries because I believe they are
highly essential for a specific business company,
such as the advertisement, management
strategies, computers system and services, and
have an efficient professional service.
Additional insight from Main Data Conditional
Format: While analyzing the data, I think I should
be focusing on the building inspection,
surveying, and mapping service since is the only
one that has a value below 40 while the other
industries have it much higher in the last update
(September 2018).
Industry with the highest Average Rates for most
recent years: Computer systems design and
related services.
consisent high/low month: September
Industry with the lowest Average Rates for most
recent years: building inspection, surveying, and
related services.
Month pivot table insight: I did notice that the
month of September on all the industries have
the highest values. So my best interest is trying to
get into these industries on that specific month.
Industries with similar pay: Professional and
technical services, and the management and
technical consulting services.
Year pivot table insight: The years of each of the
industries start to increase slowly as they go by.
From 2008 having all the industries with the
lowest value to 2018 having the highest value
between all of them which showed a significant
impact by those 10 years.
2. Pivot tables
Ali David
Date created: 12/14/18
Date opened: 12/15/18
Row Labels
Average of Professional
and technical services
Average of Building inspection,
surveying, and mapping services
Average of Computer systems
design and related services
Average of Management and
technical consulting services
Average of Advertising
and related services
Jan 36.67 27.36 42.54 36.84 35.18
Feb 36.59 27.64 42.65 36.95 35.30
Mar 36.60 27.44 42.57 37.00 35.16
Apr 36.72 27.51 42.72 37.13 35.39
May 37.05 27.32 42.65 37.11 35.53
Jun 36.90 27.20 42.48 36.94 35.25
Jul 37.08 27.42 42.75 36.96 35.47
Aug 37.03 27.51 42.68 36.96 35.48
Sep 37.27 27.68 42.86 37.23 35.78
Oct 36.92 27.38 42.53 36.82 35.42
Nov 37.04 27.50 42.69 36.98 35.59
Dec 37.09 27.58 42.66 36.96 35.68
Grand Total 36.91 27.46 42.65 36.99 35.43
Row Labels
Average of Professional
and technical services
Average of Building inspection,
surveying, and mapping services
Average of Computer systems
design and related services
Average of Management and
technical consulting services
Average of Advertising
and related services
2008 33.21 24.70 40.23 32.71 29.78
2009 34.09 26.20 40.39 33.41 30.50
2010 34.64 26.04 40.17 34.58 31.89
2011 35.21 25.64 40.62 35.85 33.83
2012 35.95 26.59 41.18 36.39 34.94
2013 36.57 26.41 41.91 37.07 35.88
2014 37.54 26.64 42.71 38.13 37.08
2015 38.67 27.64 44.07 38.65 38.21
2016 39.50 30.75 45.21 39.33 39.19
2017 40.45 30.77 46.26 40.96 39.36
2018 41.29 31.76 47.62 40.80 40.32
Grand Total 36.91 27.46 42.65 36.99 35.43
3. Main data
Ali David
Date created: 12/14/18
Date opened: 12/15/18
Year Month
Professional and
technical services
Building inspection,
surveying, and mapping
services
Computer systems
design and related
services
Management and
technical consulting
services
Advertising and
related services
2008 Jan $32.46 $24.21 $39.89 $32.22 $29.44
2008 Feb $32.41 $24.56 $39.65 $32.12 $29.42
2008 Mar $32.84 $24.26 $40.26 $32.50 $29.77
2008 Apr $32.60 $24.37 $39.96 $32.43 $29.27
2008 May $33.00 $24.30 $39.88 $32.26 $29.45
2008 Jun $33.39 $24.19 $40.59 $32.83 $29.80
2008 Jul $33.15 $24.58 $40.19 $32.38 $29.82
2008 Aug $33.26 $25.03 $40.14 $32.78 $29.84
2008 Sep $33.54 $24.91 $40.17 $33.47 $29.91
2008 Oct $33.61 $25.17 $40.27 $32.84 $30.32
2008 Nov $34.25 $25.29 $41.17 $33.28 $30.30
2008 Dec $34.06 $25.57 $40.56 $33.36 $30.05
2009 Jan $33.78 $26.16 $40.50 $33.66 $30.23
2009 Feb $34.06 $26.45 $40.96 $33.80 $31.17
2009 Mar $34.06 $25.86 $40.77 $33.43 $30.65
2009 Apr $33.71 $25.87 $40.17 $33.46 $30.07
2009 May $33.97 $25.83 $39.96 $33.58 $29.96
2009 Jun $33.84 $25.59 $39.79 $33.21 $29.93
2009 Jul $34.01 $26.19 $40.05 $33.05 $30.48
2009 Aug $34.32 $26.35 $40.49 $33.44 $30.70
2009 Sep $34.11 $26.23 $40.26 $33.35 $30.33
2009 Oct $34.21 $26.25 $40.41 $33.23 $30.52
2009 Nov $34.69 $27.04 $40.89 $33.70 $31.24
2009 Dec $34.31 $26.54 $40.41 $33.05 $30.72
2010 Jan $34.16 $26.07 $40.48 $33.91 $30.36
2010 Feb $34.18 $26.51 $40.25 $34.36 $30.66
2010 Mar $34.02 $26.56 $39.92 $33.93 $30.44
2010 Apr $34.23 $26.22 $39.99 $34.47 $31.21
2010 May $35.16 $25.76 $40.37 $34.92 $32.59
2010 Jun $34.58 $25.97 $39.86 $34.56 $31.35
2010 Jul $34.66 $25.70 $40.02 $34.33 $32.13
2010 Aug $35.00 $25.48 $40.40 $34.71 $32.63
2010 Sep $34.76 $26.04 $40.04 $34.48 $32.26
2010 Oct $34.97 $26.22 $40.15 $35.02 $32.77
2010 Nov $34.91 $25.95 $40.22 $35.11 $32.96
2010 Dec $35.02 $26.02 $40.29 $35.12 $33.31
2011 Jan $35.34 $25.20 $40.94 $35.76 $33.67
2011 Feb $34.82 $25.55 $40.60 $35.60 $32.97
2011 Mar $34.61 $25.36 $40.30 $35.44 $32.78
2011 Apr $34.79 $25.54 $40.40 $35.75 $33.15
2011 May $35.44 $25.44 $40.80 $36.17 $34.18
2011 Jun $34.92 $25.24 $40.10 $35.63 $32.90
2011 Jul $35.23 $26.03 $40.62 $35.92 $33.41
2011 Aug $35.08 $25.88 $40.28 $35.70 $33.76
2011 Sep $35.36 $25.54 $40.64 $35.91 $34.60
2011 Oct $35.91 $25.78 $41.24 $36.26 $35.07
2011 Nov $35.45 $25.98 $40.78 $35.84 $34.26
2011 Dec $35.62 $26.09 $40.76 $36.20 $35.24
2012 Jan $35.98 $26.47 $41.39 $36.80 $35.64
2012 Feb $35.46 $26.51 $41.09 $36.65 $34.78
2012 Mar $35.37 $26.64 $40.77 $36.36 $34.47
2012 Apr $35.88 $26.65 $41.46 $36.52 $35.45
2012 May $35.78 $26.52 $40.97 $35.83 $34.99
2012 Jun $35.71 $26.47 $40.73 $36.01 $34.00
2012 Jul $36.24 $26.46 $41.37 $36.33 $35.16
2012 Aug $35.71 $26.50 $40.79 $35.72 $34.55
2012 Sep $36.46 $26.66 $41.48 $36.87 $35.28
2012 Oct $36.00 $26.83 $41.00 $36.37 $34.42
2012 Nov $36.08 $26.52 $41.23 $36.37 $34.84
2012 Dec $36.67 $26.88 $41.92 $36.89 $35.72
2013 Jan $36.25 $26.72 $41.49 $36.86 $35.20
2013 Feb $36.22 $26.71 $41.79 $36.98 $35.70
2013 Mar $36.14 $26.32 $41.65 $36.74 $35.65
2013 Apr $36.29 $26.12 $42.00 $36.82 $35.75
2013 May $36.50 $25.93 $41.87 $36.79 $35.75
2013 Jun $36.84 $25.96 $42.14 $37.32 $36.47
2013 Jul $36.46 $26.54 $41.81 $36.84 $35.62
2013 Aug $36.43 $26.67 $41.70 $37.06 $35.73
2013 Sep $37.03 $26.48 $42.24 $37.63 $36.66
2013 Oct $36.61 $26.39 $41.85 $37.03 $35.61
2013 Nov $36.73 $26.37 $41.90 $37.17 $35.85
2013 Dec $37.28 $26.76 $42.46 $37.61 $36.53
2014 Jan $36.86 $26.78 $42.02 $37.45 $36.07
2014 Feb $37.21 $27.15 $42.77 $38.22 $36.86
4. Main data
Ali David
Date created: 12/14/18
Date opened: 12/15/18
Year Month
Professional and
technical services
Building inspection,
surveying, and mapping
services
Computer systems
design and related
services
Management and
technical consulting
services
Advertising and
related services
2014 Mar $37.31 $27.08 $42.74 $38.36 $37.27
2014 Apr $37.02 $26.92 $42.60 $37.94 $36.91
2014 May $37.47 $26.20 $42.51 $38.23 $36.60
2014 Jun $37.80 $26.57 $43.00 $38.15 $37.71
2014 Jul $37.51 $26.48 $42.66 $37.96 $36.76
2014 Aug $37.49 $26.26 $42.46 $37.94 $36.77
2014 Sep $37.70 $26.46 $42.56 $38.31 $36.94
2014 Oct $37.72 $26.54 $42.70 $38.11 $37.16
2014 Nov $38.40 $26.55 $43.53 $38.74 $38.40
2014 Dec $38.02 $26.68 $43.02 $38.11 $37.49
2015 Jan $38.18 $27.20 $43.23 $38.54 $37.74
2015 Feb $38.53 $27.35 $44.00 $39.17 $38.46
2015 Mar $38.56 $27.21 $43.96 $39.31 $38.51
2015 Apr $38.28 $27.33 $43.57 $38.82 $37.94
2015 May $38.60 $27.13 $43.67 $38.82 $38.04
2015 Jun $38.35 $26.86 $43.48 $38.49 $37.81
2015 Jul $38.52 $26.94 $43.89 $38.45 $37.55
2015 Aug $38.95 $27.41 $44.61 $38.52 $38.31
2015 Sep $38.66 $27.86 $44.13 $37.92 $37.86
2015 Oct $38.89 $28.34 $44.51 $38.13 $38.28
2015 Nov $39.47 $28.95 $45.21 $39.03 $39.40
2015 Dec $39.03 $29.12 $44.62 $38.61 $38.60
2016 Jan $39.15 $30.46 $45.04 $39.06 $38.79
2016 Feb $38.97 $30.84 $44.96 $39.11 $38.83
2016 Mar $38.89 $30.52 $44.72 $38.89 $38.45
2016 Apr $39.14 $30.96 $45.10 $39.13 $38.83
2016 May $39.97 $31.24 $45.71 $39.68 $39.98
2016 Jun $39.30 $30.65 $44.91 $38.84 $38.85
2016 Jul $39.52 $30.14 $45.16 $39.14 $38.86
2016 Aug $39.35 $30.52 $44.89 $39.13 $39.03
2016 Sep $39.67 $30.72 $45.17 $39.33 $39.69
2016 Oct $40.23 $31.02 $45.99 $39.91 $40.28
2016 Nov $39.78 $30.86 $45.37 $39.71 $39.38
2016 Dec $39.99 $31.07 $45.50 $39.97 $39.33
2017 Jan $40.33 $30.60 $46.08 $40.48 $39.91
2017 Feb $39.85 $31.08 $45.77 $39.96 $39.44
2017 Mar $39.99 $30.55 $45.92 $41.39 $38.98
2017 Apr $40.52 $31.03 $46.45 $41.90 $39.94
2017 May $40.35 $30.31 $45.83 $41.07 $39.16
2017 Jun $40.07 $29.87 $45.38 $40.76 $38.69
2017 Jul $40.74 $30.53 $46.39 $41.30 $39.44
2017 Aug $40.26 $30.37 $46.01 $40.64 $38.85
2017 Sep $40.66 $31.11 $46.52 $41.18 $39.06
2017 Oct $41.05 $31.28 $47.14 $41.30 $39.81
2017 Nov $40.65 $31.45 $46.61 $40.81 $39.23
2017 Dec $40.87 $31.10 $47.01 $40.69 $39.77
2018 Jan $40.83 $31.07 $46.92 $40.54 $39.90
2018 Feb $40.75 $31.38 $47.36 $40.50 $40.04
2018 Mar $40.82 $31.49 $47.21 $40.67 $39.81
2018 Apr $41.45 $31.59 $48.19 $41.16 $40.79
2018 May $41.32 $31.83 $47.57 $40.87 $40.08
2018 Jun $41.15 $31.84 $47.30 $40.55 $40.20
2018 Jul $41.83 $32.03 $48.11 $40.90 $40.98
2018 Aug $41.43 $32.14 $47.70 $40.93 $40.16
2018 Sep $42.01 $32.48 $48.24 $41.08 $40.95