Pdf data analysis and presentations

Use of atomic pair distribution function pdf and xray. Quantitative data analysis, sascha oberhuber, iris maurer. Results spray dried api synchrotron data laboratory data conclusion pdf analysis was used to confirm the comparability of the amorphous drug prepared by different spray drying processes and gave insight to their degree of molecular order which can be impactful to their physical stability. Quantitative data means data, or evidence, based on numbers.

But if your organization is at terrible risk, now is the time to use our templates. Having to look over your data to check where you missed some points is complex. This chapter discusses the data analysis and findings from 107 questionnaires completed by adolescent mothers who visited one of the two participating well baby. Presentations, analysis and interpretation of data 125 chapter4 presentation, analysis and interpretation of data data analysis is the process of bringing order, structure and meaning to. Youll learn how to structure a presentation, to include insights and supporting data. It is a messy, ambiguous, time consuming, creative, and fascinating. However, this document and process is not limited to. Machine log data application logs, event logs, server data, cdrs, clickstream data etc. Descriptive statistics are numerical values obtained from the sample that gives meaning to the data. It is a messy, ambiguous, timeconsuming, creative, and fascinating process. Analysis of 2014 crash data with special emphasis on. A range of disciplines are applied for effective data management that may include governance, data modelling, data engineering, and analytics. A pdf copy of the presentation shown is also available. Analysis comes at the end when there is data to analyze.

Purpose of this training to increase your skills in analysis and interpretation of the information you collect to increase your ability to report your findings to a variety of audiences to learn how to make evaluation results actionable three steps to data analysis keep it simple aim for a systematic effort keep your audience in mind pay attention. Qualitative data analysis qualitative data analysis procedures are described in chapter 3 of the applied dissertation proposal. Data visualization refers to the techniques used to communicate data or information by encoding it as visual objects e. So, here is a list of some best data science presentations i have come across on slideshare. These presentations allow you to achieve much more in less time. Nov 26, 2017 troy magennis discusses the top three reasons forecasts fail to match reality, and challenges the assumption that work complexity and effort correlates with delivery time. Analysis of secondary data, where secondary data can include any data that are examined to answer a research question other than the questions for which the data were initially collected p. Analytics is the scientific component applied in data analysis.

Results spray dried api synchrotron data laboratory data conclusion pdf analysis was used to confirm the comparability of the amorphous. For a novice, there is no difference between a static presentation and a data driven presentation. Qualitative analysis is easier than quantitative analysis data have their own meaning stating limitations weakens the evaluation computer analysis is always easier and better. As with qualitative methods for data analysis, the purpose of conducting a quantitative. Presentations, analysis and interpretation of data 125 chapter4 presentation, analysis and interpretation of data data analysis is the process of bringing order, structure and meaning to the mass of collected data. After qualitative data are collected via interviews, focus groups, or openended questions on surveys, the researcher must make sense of the findings through a rigorous data analysis process. Sans concentrated particle solutions an explanation of the correlation between particle interactions and sans data. The presentations below provide examples of sol content identified by this analysis. Adding visual aspect to data or sorting it using grouping and presenting it in the form of table is a part of the presentation. The mean represents the central tendency of the data set.

Qda qualitative data analysis rfp request for proposals sage strategic advisory group of experts sars severe acute respiratory syndrome smart specific, measurable, achievable, realistic and timebound sop standard operating procedure swot strengths, weaknesses, opportunities and threats tb tuberculosis tdr special programme for research and. Since your data wont be straightforward numbers, youll have an opportunity to get creative with your presentations. Rechtsteiner powerpoint presentation cdcppt ppt 566 kb sas exercises cdcpdf. Program staff are urged to view this handbook as a beginning resource, and to supplement their. Sans data analysis a general stepbystep guide on analyzing sans data.

The presentation of data when significant amounts of quantitative data are presented in a report or publication, it is most effective to use tables andor graphs. Data analysis powerpoint by mamanamsai on envato elements. Of course, the key idea of this post is not limited to data science projects only, hence someone coming from outside of the field may find it useful as well. Download data analysis powerpoint templates and backgrounds for presentations in microsoft powerpoint. This course is all about presenting the story of the data, using powerpoint. Document data including original documents, data model diagram, spds data dictionary, history, file variations and structural changes, revisions and common problems and data quality report, where available 4. Big data analytics powerpoint ppt presentations powershow. The emphasis of the camp is to understand what is big data data analysis beyond the marketing hype of the 3vs of. Diehl vicki childers and sandra preaux 20091218 san francisco, ca american geophysical union fall meeting airborne gravity, gravd, geodesy, tectonics, alaska show abstract.

Pdf qualitative data collection, analysis and presentation. Primavera data management plan was developed to allow the model data to be transferred to jasmin, stored there and catalogued so that each file can be tracked and searched as it was moved between tape and disk. Make smarter business decisions with data analysis. After qualitative data are collected via interviews, focus groups, or openended. The grantee presentation and summary meeting will no longer occur. Qualitative analysis data analysis is the process of bringing order, structure and meaning to the mass of collected data. These two go hand in hand, and it will be difficult to provide a complete differentiation between the two. Presenting the results of your data analysis need not be a hair pulling experience. If the data and methods of data analysis plan are right, it will have numerous benefits, including taking the right decisions. Qualitative data analysis is a search for general statements about relationships among. Data analysis boot camp we will cover aspects common to all big data investigations, including.

The increase was from 40 to 44 fatal crashes per 100,000 licensed drivers for the. In fact, analytics include analysis of data within its procedures. My recommendation of slideshare presentations in data science. The goal is to communicate information clearly and efficiently to users. The range is the difference between the highest and lowest values in a set of data. Here you can find the presentations of the speakers from the joint workshop on conservation principles, data and uncertainty in atmosphereocean modelling, who sent us their presentation and allowed it to.

Vdoe standards of learning using statewide sol test. Best practices for the national vital statistics birth, fetal death, and linked birth and infant health data sets cdcpdf pdf 5. Data collection and analysis methods in impact evaluation page 2 outputs and desired outcomes and impacts see brief no. Program staff are urged to view this handbook as a beginning resource, and to supplement their knowledge of data analysis procedures and methods over time as part of their ongoing professional development.

Effective business presentations with powerpoint coursera. Presentations, analysis and interpretation of data chapter4 presentation, analysis and interpretation of data. Release data to analysts and researchers meet with programmers and researchers to present data structure and content 5. Log data sensor data data storages rdbms, nosql, hadoop, file systems etc. Subscribe to envato elements for unlimited presentation templates downloads for a single monthly fee. Presentations program pdf presentations posters speakers. Analyzing data from the namcs and the nhamcs by linda mccaig and david woodwell.

Data analysis, interpretation, and presentation pcori. Feb 25, 2014 introduction to data analysis central office edit more complete and exacting edit best performed by a number of editors, each looking at one part of the data decision on how to handle item nonresponse and other omissions need to be made listwise deletion drop for all analyses vs. Second, it is usually the best way to show the data to others. Sensor data smart electric meters, medical devices, car sensors, road cameras etc. Learn effective business presentations with powerpoint from pwc. Data presentation and analysis or data analysis and presentation. Managing data and values summary data management is a painstaking task for the organizations. Data presentation the purpose of putting results of experiments into graphs, charts and tables is twofold.

There are many ways to show off the data you choose to present, and you can see a partial list here. Actions to mitigate the 2019 novel coronavirus disease covid19 have caused daily weekday electricity demand in new york city to decrease by 16% in april compared with expected. Beautiful data science presentations towards data science. This chapter discusses the data analysis and findings from 107 questionnaires completed by adolescent mothers who visited one of the two participating wellbaby. Descriptive analysis refers to the description of the data from a particular sample. This means that analytics helps an analysis method to be understood easier, and to be more effective. However, this document and process is not limited to educational activities and circumstances as a data analysis is also necessary for businessrelated undertakings. Data collection and analysis methods should be chosen to match the particular evaluation in terms of its key evaluation questions keqs and the resources available. Transfer data is transferred to the primavera group workspaces at jasmin.

The decision is based on the scale of measurement of the data. Data analysis process data collection and preparation collect data prepare codebook set up structure of data enter data screen data for errors exploration of data descriptive statistics graphs analysis. To lead a data and big data analytics domain, proficiency in big data and its. But alone it does not really gives us an idea of how the data is distributed. Data analysis communication presentation design presentation. Nov 24, 2017 the intended audience of this short blog post is someone who is interested in putting together presentations for 3 different purposes. First, it is a visual way to look at the data and see what happened and make interpretations. Any sample questions provided in these presentations are not sol test items and are not meant to mimic. Presenting your data clearly and effectively is essential to a successful survey experience. The presentation itself is mostly the same, and the data on it. Qda qualitative data analysis rfp request for proposals sage strategic advisory group of experts sars severe acute respiratory syndrome smart specific, measurable, achievable, realistic and timebound. The primavera data management tool dmt is the software developed to implement the data management plan at jasmin. Ppt presentation, analysis and interpretation of data.

Jul 23, 2019 presenting the results of your data analysis need not be a hair pulling experience. In 2014 the data show an increase of this crash rate for the age groups 1821 and 2124 compared to 20. We want to have indications of the data variability. New survey data from the 2014 national study of longterm care providers nsltcp.

Youll be able to focus on what matters most ensuring the integrity of your data and its analysis. Understand data, apply data analytics tools and create effective business intelligence presentations. Analytics covers a broader scope of knowledge areas and processes. The purpose of this study was to identify factors contributing to. Well chosen and well implemented methods for data collection and analysis. Impact evaluations should make maximum use of existing data and then fill gaps with new. Reading lots of numbers in the text puts people to sleep and does little to convey. Data analysis, interpretation, and presentation anna loparev intro hci 022620 qualitative vs. It is a messy, ambiguous, time consuming, creative, and fascinating process. Data was collected on a panalytical empyrean diffractometer. Analyzing and interpreting data 2 myths complex analysis and big words impress people. For conducting data analysis for any research, it is also important to have the right methodology.

Pdf presentations, analysis and interpretation of data. It is one of the steps in data analysis or data science. Since qualitative analysis is more about the meaning of the analysis, it is too confusing with unstructured and huge data. Generate seven different climate models are run on hpcs across europe. Nchs 2015 national conference on health statistics. Graphic data presentation, visual data analysis, and singlesubject designs have each achieved a unique prominence in the experimental and applied analysis of behavior. Ensuring data quality also extends to ensuring appropriate data analysis and presentation of the data in. Its overall emphasis has been on the processes, stages, and goals of conventional ethnographic research, qualitative data analysis and their presentation in the. Rechtsteiner powerpoint presentation cdcppt ppt 566 kb sas exercises cdcpdf pdf 100 kb 2006 data users conference presentations. This chapter comprises the analysis, presentation and interpretation of the findings resulting from this study.