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#09 Exploratory Data Analysis in Excel with XLSTAT
 
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Exploratory statistics or how to easily pull information into large datasets. Go further: https://help.xlstat.com/customer/portal/articles/2062361 30-day free trial: https://www.xlstat.com/en/download -- Stat Café - Question of the Day is a playlist aiming at explaining simple or complex statistical features with applications in Excel and XLSTAT based on real life examples. Do not hesitate to share your questions in the comments. We will be happy to answer you. -- Produced by: Addinsoft Directed by: Nicolas Lorenzi Script by: Jean Paul Maalouf
Views: 2213 XLSTAT
Introduction to descriptive statistics illustrated with XLSTAT - XLSTAT Webinars
 
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This Webinar presents descriptive statistical features with applications using the XLSTAT statistical software. Discover our products: https://www.xlstat.com/en/solutions Download the data: https://help.xlstat.com/customer/portal/kb_article_attachments/125605/original.xlsx?1513264876%E2%80%8B 30-day free trial: https://www.xlstat.com/en/download -- Introduction to descriptive statistics - 1 hour Data analysis tools can be grouped into several categories, each category aiming at answering a certain type of questions associated to a certain type of data. Descriptive statistics allow to summarize information contained in datasets using simple numbers such as the mean or the standard deviation; and charts such as box plots and scatter plots. -- Produced by: Addinsoft Directed by: Jean Paul Maalouf
Views: 735 XLSTAT
Introduction to exploratory statistics illustrated with XLSTAT - XLSTAT Webinars
 
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This Webinar presents popular exploratory statistical features with applications using the XLSTAT statistical software. Discover our products: https://www.xlstat.com/en/solutions Download the data: https://help.xlstat.com/customer/portal/kb_article_attachments/125605/original.xlsx?1513264876%E2%80%8B 30-day free trial: https://www.xlstat.com/en/download -- Introduction to exploratory statistics - 1 hour Data analysis tools can be grouped into several categories, each category aiming at answering a certain type of questions associated to a certain type of data. Exploratory statistics allow to summarize information contained in datasets of various volumes using dimension-reduction and segmentation features. -- Produced by: Addinsoft Directed by: Jean Paul Maalouf
Views: 317 XLSTAT
#11 Principal Component Analysis: Example in Excel with XLSTAT
 
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Configure a simple principal component analysis and interpret the outputs. Discover our products: https://www.xlstat.com/en/solutions Go further: https://help.xlstat.com/customer/en/portal/articles/2062222 30-day free trial: https://www.xlstat.com/en/download -- Stat Café - Question of the Day is a playlist aiming at explaining simple or complex statistical features with applications in Excel and XLSTAT based on real life examples. Do not hesitate to share your questions in the comments. We will be happy to answer you. -- Produced by: Addinsoft Directed by: Nicolas Lorenzi Script by: Jean Paul Maalouf
Views: 11733 XLSTAT
#19 K-means Clustering in Excel with XLSTAT
 
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A short and intuitive introduction to k-means clustering, with an application in archaeology Discover our products: https://www.xlstat.com/en/solutions Go further: https://help.xlstat.com/customer/en/portal/articles/2062227 30-day free trial: https://www.xlstat.com/en/download -- The data set was downloaded from the UCI Machine Learning Repository: Owner: Thomas Weber Landesamt für Denkmalpflege und Archäologie Sachsen-Anhalt Richard-Wagner-Str. 9 06114 Halle/Germany Donor: Gunter Ritter University of Passau 94030 Passau/Germany https://archive.ics.uci.edu/ml/datasets/StoneFlakes -- Stat Café - Question of the Day is a playlist aiming at explaining simple or complex statistical features with applications in Excel and XLSTAT based on real life examples. Do not hesitate to share your questions in the comments. We will be happy to answer you. -- Produced by: Addinsoft Directed by: Nicolas Lorenzi Script by: Jean Paul Maalouf
Views: 3528 XLSTAT
#16 Multiple Correspondence Analysis in Excel with XLSTAT
 
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Investigate a data table made of more than two qualitative variables using Multiple Correspondence Analysis. Discover our products: https://www.xlstat.com/en/solutions Go further: https://help.xlstat.com/customer/en/portal/articles/2062224 30-day free trial: https://www.xlstat.com/en/download -- Stat Café - Question of the Day is a playlist aiming at explaining simple or complex statistical features with applications in Excel and XLSTAT based on real life examples. Do not hesitate to share your questions in the comments. We will be happy to answer you. -- Produced by: Addinsoft Directed by: Nicolas Lorenzi Script by: Jean Paul Maalouf
Views: 2560 XLSTAT
JPI EZ Trends Data Transfer and analysis http://www.buyjpi.com/
 
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View and learn about the JP Instruments EZ Trends software. This video will run you through the free software program, making it easier to analyze your EDM data. Part 1 covers transfer and analysis.
Views: 3194 Craig Peyton
#18 Parallel Coordinates Plot in Excel with XLSTAT
 
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Parallel Coordinates Plots are an efficient way to help describing groups of observations. Discover our products: https://www.xlstat.com/en/solutions Go further: https://help.xlstat.com/customer/en/portal/articles/2062061 30-day free trial: https://www.xlstat.com/en/download -- Stat Café - Question of the Day is a playlist aiming at explaining simple or complex statistical features with applications in Excel and XLSTAT based on real life examples. Do not hesitate to share your questions in the comments. We will be happy to answer you. -- Produced by: Addinsoft Directed by: Nicolas Lorenzi Script by: Jean Paul Maalouf
Views: 754 XLSTAT
#15 Correspondence Analysis in Excel with XLSTAT
 
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Investigate the links between the categories of two variables using Correspondence Analysis. Discover our products: https://www.xlstat.com/en/solutions Go further: https://help.xlstat.com/customer/en/portal/articles/2062223 Data can be downloaded here: https://help.xlstat.com/customer/portal/kb_article_attachments/124651/original.xlsx?1511966201 30-day free trial: https://www.xlstat.com/en/download -- Stat Café - Question of the Day is a playlist aiming at explaining simple or complex statistical features with applications in Excel and XLSTAT based on real life examples. Do not hesitate to share your questions in the comments. We will be happy to answer you. -- Produced by: Addinsoft Directed by: Nicolas Lorenzi Script by: Jean Paul Maalouf
Views: 2090 XLSTAT
#17 Agglomerative Hierarchical Clustering - AHC in Excel with XLSTAT
 
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Group consumers into clusters of similar consumption profiles using Agglomerative Hierarchical Clustering or AHC. Discover our products: https://www.xlstat.com/en/solutions Go further: https://help.xlstat.com/customer/en/portal/articles/2062226 30-day free trial: https://www.xlstat.com/en/download -- Stat Café - Question of the Day is a playlist aiming at explaining simple or complex statistical features with applications in Excel and XLSTAT based on real life examples. Do not hesitate to share your questions in the comments. We will be happy to answer you. -- Produced by: Addinsoft Directed by: Nicolas Lorenzi Script by: Jean Paul Maalouf
Views: 2291 XLSTAT
#13 Factor Analysis in Excel with XLSTAT
 
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Summarize personality traits of a group of people in a reduced number of dimensions with Factor Analysis Discover our products: https://www.xlstat.com/en/solutions Go further: https://help.xlstat.com/customer/en/portal/articles/2062222 Data can be downloaded here: https://help.xlstat.com/customer/portal/kb_article_attachments/124726/original.xlsx?1512035189 30-day free trial: https://www.xlstat.com/en/download - The data in this video was used with the kind authorization of its owner, Pr. Bertram Malle, Brown University. -- Stat Café - Question of the Day is a playlist aiming at explaining simple or complex statistical features with applications in Excel and XLSTAT based on real life examples. Do not hesitate to share your questions in the comments. We will be happy to answer you. -- Produced by: Addinsoft Directed by: Nicolas Lorenzi Script by: Jean Paul Maalouf
Views: 8453 XLSTAT
How to get started with XLSTAT?
 
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This short video introduces you to the XLSTAT data analysis software. XLSTAT is the leading data analysis and statistical solution for Microsoft Excel The XLSTAT statistical analysis add-in offers a wide variety of functions to enhance the analytical capabilities of Excel, making it the ideal tool for your everyday data analysis and statistics requirements. XLSTAT's statistical analysis software is compatible with all Excel versions from version 97 to version 2010 (except 2008 for Mac), and is compatible with the Windows 9x till Windows 7 systems, as well as with the PowerPC and Intel based Mac systems. Because it is quick, reliable, easy to install and to use - and well-priced - XLSTAT has grown to be one of the most commonly used statistical software in the market and is used today by more than 25,000 customers in businesses and universities, big and small, in over 100 countries throughout the world. XLSTAT can be purchased online on a highly secured site, anytime, anywhere. Both electronic and CD-Rom versions are available.
Views: 46250 XLSTAT
How to Prepare data set for Trend analysis using Non-Parametric Test (Mann-Kendall and Sen's Slope)
 
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In this video, I have briefly shown how to prepare a dataset for trend analysis using non-parametric approach. https://drive.google.com/file/d/1HVP81cxEpkPwfJ9qksCiV7WrM9p9bwXJ/view?usp=drive_web #SharingisCaring #PleaseSubscribe Check this link to watch similar videos: https://www.youtube.com/user/fitsalem/videos?view_as=subscriber
#08 Ternary Diagram in Excel with XLSTAT
 
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Here is a way to examine the link between three quantitative variables using ternary diagrams. Go further: https://help.xlstat.com/customer/portal/articles/2062361 30-day free trial: https://www.xlstat.com/en/download -- Stat Café - Question of the Day is a playlist aiming at explaining simple or complex statistical features with applications in Excel and XLSTAT based on real life examples. Do not hesitate to share your questions in the comments. We will be happy to answer you. -- Produced by: Addinsoft Directed by: Nicolas Lorenzi Script by: Jean Paul Maalouf
Views: 10946 XLSTAT
What is a heat map?
 
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30 day free trial right here! https://www.xlstat.com/en/download Here's a short video explaining how heat maps are built in an OMICs world, and what kind of information heat maps provide. Everything is explained through a mini - tutorial using the OMICs module of the XLSTAT statistical software for Microsoft Excel. A link to the XLSTAT Biomed product description page: https://www.xlstat.com/en/solutions/biomed Like us on facebook: https://www.facebook.com/Xlstat?ref=br_tf Follow us on Twitter: https://twitter.com/XLSTAT Join us on LinkedIn: https://www.linkedin.com/groups/XLSTAT-2160205?gid=2160205&mostPopular=&trk=tyah&trkInfo=tarId%3A1415382136264%2Ctas%3Axlstat%2Cidx%3A1-1-1 We are very grateful to the PAPPSO platform (Gif-Sur-Yvette, France) which provided the dataset, which was used in a paper published in Proteomics: Langella O, Valot B, Jacob D, Balliau T, Flores R, Hoogland C, Joets J, Zivy M(2013) Management and dissemination of MS proteomic data with PROTICdb: example of a quantitative comparison between methods of protein extraction, Proteomics. 2013 May;13(9):1457-66.
Views: 14804 XLSTAT
Data Mining using the Excel Data Mining Addin
 
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The Excel Data Mining Addin can be used to build predictive models such as Decisions Trees within Excel. The Excel Data Mining Addin sends data to SQL Server Analysis Services (SSAS) where the models are built. The completed model is then rendered within Excel. I also have a comprehensive 60 minute T-SQL course available at Udemy : https://www.udemy.com/t-sql-for-data-analysts/?couponCode=ANALYTICS50%25OFF
Views: 72813 Steve Fox
kNN Machine Learning Algorithm - Excel
 
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kNN, k Nearest Neighbors Machine Learning Algorithm tutorial. Follow this link for an entire Intro course on Machine Learning using R, did I mention it's FREE: https://www.youtube.com/playlist?list=PLjPbBibKHH18I0mDb_H4uP3egypHIsvMn Also, be sure to check out my channel for over 300 tutorials on Excel, R, Statistics, basic Math, and more.
Views: 58830 Jalayer Academy
#01 Variables, Individuals, Population and Sample in Excel
 
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Here are a couple of elementary definitions in the world of statistics illustrated with Excel. Go further: https://help.xlstat.com/customer/en/portal/articles?b_id=9283 30-day free trial: https://www.xlstat.com/en/download -- Stat Café - Question of the Day is a playlist aiming at explaining simple or complex statistical features with applications in Excel and XLSTAT based on real life examples. Do not hesitate to share your questions in the comments. We will be happy to answer you. -- Produced by: Addinsoft Directed by: Nicolas Lorenzi Script by: Jean Paul Maalouf
Views: 3983 XLSTAT
Kaplan-Meier Survival Analysis in Excel
 
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Learn Data Viz - https://www.udemy.com/tableau-acceler... Github link where you can download the plugin: https://github.com/lukashalim/ExcelSurvival
Views: 54089 Data Analysis Videos
Metabolomic Data Analysis Using MetaboAnalyst
 
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This is the fifth module in the 2016 Informatics and Statistics for Metabolomics workshop hosted by the Canadian Bioinformatics Workshops. This lecture is by David Wishart from the University of Alberta. How it Begins by Kevin MacLeod is licensed under a Creative Commons Attribution license (https://creativecommons.org/licenses/by/4.0/) Source: http://incompetech.com/music/royalty-free/index.html?isrc=USUAN1100200 Artist: http://incompetech.com/ Table of Contents: 00:10 - 00:56 - Learning Objectives 01:15 - A Typical Metabolomics Experiment 03:16 - 2 Routes to Metabolomics 03:31 - Metabolomics Data Workflow 05:11 - Data Integrity/Quality 06:46 - Data/Spectral Alignment 07:28 - Binning (3000 pts to 14 bins) 07:53 - Data Normalization/Scaling 09:40 - Data Normalization/Scaling 10:20 - Data QC, Outlier Removal & Data Reduction 12:08 - MetaboAnalyst 13:25 - MetaboAnalyst History 14:37 - MetaboAnalyst Overview 16:00 - MetaboAnalyst Modules 17:00 - MetaboAnalyst Modules 18:03 - Example Datasets 19:09 - Example Datasets 19:34 - Metabolomic Data Processing 19:44 - Example Datasets 19:45 - Example Datasets 19:45 - MetaboAnalyst Modules 19:48 - Example Datasets 19:48 - Example Datasets 19:49 - Metabolomic Data Processing 19:51 - Common Tasks 20:38 - Select a Module (Statistical Analysis) 20:48 - Common Tasks 20:49 - Metabolomic Data Processing 20:49 - Example Datasets 20:49 - Example Datasets 20:55 - Example Datasets 20:55 - Metabolomic Data Processing 20:56 - Common Tasks 20:56 - Select a Module (Statistical Analysis) 21:07 - Data Upload 21:37 - Alternatively … 22:18 - Data Set Selected 23:24 - Data Integrity Check 24:11 - Data Normalization 25:51 - Data Normalization 26:28 - Data Normalization 27:40 - Normalization Result 29:49 - Data Normalization 29:59 - Normalization Result 30:03 - Data Normalization 30:14 - Normalization Result 30:15 - Data Normalization 30:15 - Data Normalization 30:16 - Data Normalization 30:21 - Data Normalization 30:21 - Data Normalization 30:36 - Normalization Result 31:24 - Data Normalization 31:26 - Next Steps 31:37 - Quality Control 32:41 - Visual Inspection 33:36 - Outlier Removal (Data Editor) 34:01 - Noise Reduction (Data Filtering) 35:09 - Noise Reduction (cont.) 35:36 - Data Reduction and Statistical Analysis 36:07 - Common Tasks 36:30 - 37:00 - ANOVA 37:31 - ANOVA 38:58 - View Individual Compounds 39:46 - What’s Next? 40:06 - Overall Correlation Pattern 41:20 - High Resolution Image 41:53 - What’s Next? 42:40 - Pattern Matching 43:29 - Pattern Matching (cont.) 44:57 - 45:16 - Pattern Matching (cont.) 45:17 - Pattern Matching 45:32 - Pattern Matching (cont.) 45:34 - 45:55 - Multivariate Analysis 46:58 - PCA Scores Plot 47:40 - PCA Loading Plot 47:58 - PCA Scores Plot 48:15 - PCA Loading Plot 49:14 - 3D Score Plot 50:28 - 51:06 - 3D Score Plot 51:07 - PCA Loading Plot 51:08 - PCA Scores Plot 51:46 - PCA Loading Plot 51:47 - 3D Score Plot 51:49 - 52:30 - Multivariate Analysis 52:54 - PLS-DA Score Plot 53:23 - Evaluation of PLS-DA Model 55:19 - Important Compounds 57:07 - Model Validation 58:07 - 58:16 - Hierarchical Clustering (Heat Maps) 58:34 - Heatmap Visualization 58:48 - Heatmap Visualization (cont.) 59:16 - What’s Next? 59:28 - Heatmap Visualization (cont.) 59:29 - Heatmap Visualization 59:32 - Heatmap Visualization (cont.) 01:00:18 - What’s Next? 01:02:45 - Download Results 01:02:56 - Analysis Report 01:03:21 - Select a Module (Enrichment Analysis) 01:03:29 - Metabolite Set Enrichment Analysis (MSEA) 01:04:18 - Enrichment Analysis 01:04:56 - MSEA 01:05:09 - The MSEA Approach 01:05:18 - Data Set Selected 01:06:02 - Start with a Compound List for ORA 01:06:10 - Upload Compound List 01:06:38 - Perform Compound Name Standardization 01:06:55 - Name Standardization (cont.) 01:07:11 - Select a Metabolite Set Library 01:07:46 - Result 01:08:39 - Result (cont.) 01:09:04 - The Matched Metabolite Set 01:09:18 - Phenylalanine and Tyrosine Metabolism in SMPDB 01:09:42 - Single Sample Profiling (SSP) (Basically used by a physician to analyze a patient) 01:10:14 - Concentration Comparison 01:10:34 - Concentration Comparison (cont.) 01:11:13 - Quantitative Enrichment Analysis (QEA) 01:11:30 - Result 01:11:47 - The Matched Metabolite Set 01:12:02 - Select a Module (Pathway Analysis) 01:12:09 - Pathway Analysis 01:12:57 - Data Set Selected 01:13:03 - Pathway Analysis Module 01:13:09 - Data Upload 01:13:22 - Perform Data Normalization 01:13:38 - Select Pathway Libraries 01:13:54 - Perform Network Topology Analysis 01:14:04 - Pathway Position Matters 01:14:44 - Which Node is More Important? 01:14:54 - Pathway Position Matters 01:14:56 - Which Node is More Important? 01:15:01 - Pathway Visualization 01:17:15 - Pathway Visualization (cont.) 01:17:28 - Pathway Impact 01:17:43 - Result 01:17:54 - Select a Module (Biomarker Analysis) 01:18:58 - Biomarker Analysis 01:19:37 - Select Test Data Set 1 01:19:42 - Data Set Selected 01:20:34 - Perform Data Integrity Check
Views: 8491 Bioinformatics DotCa
#14 Multidimensional Scaling (or MDS) in Excel with XLSTAT
 
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Evaluate the relative distances between objects on a chart using Multidimensional Scaling. Discover our products: https://www.xlstat.com/en/solutions Go further: https://help.xlstat.com/customer/en/portal/articles/2062228 30-day free trial: https://www.xlstat.com/en/download -- Stat Café - Question of the Day is a playlist aiming at explaining simple or complex statistical features with applications in Excel and XLSTAT based on real life examples. Do not hesitate to share your questions in the comments. We will be happy to answer you. -- Produced by: Addinsoft Directed by: Nicolas Lorenzi Script by: Jean Paul Maalouf
Views: 2565 XLSTAT
Logistic Regression Using Excel
 
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Predict who survives the Titanic disaster using Excel. Logistic regression allows us to predict a categorical outcome using categorical and numeric data. For example, we might want to decide which college alumni will agree to make a donation based on their age, gender, graduation date, and prior history of donating. Or we might want to predict whether or not a loan will default based on credit score, purpose of the loan, geographic location, marital status, and income. Logistic regression will allow us to use the information we have to predict the likelihood of the event we're interested in. Linear Regression helps us answer the question, "What value should we expect?" while logistic regression tells us "How likely is it?" Given a set of inputs, a logistic regression equation will return a value between 0 and 1, representing the probability that the event will occur. Based on that probability, we might then choose to either take or not take a particular action. For example, we might decide that if the likelihood that an alumni will donate is below 5%, then we're not going to ask them for a donation. Or if the probability of default on a loan is above 20%, then we might refuse to issue a loan or offer it at a higher interest rate. How we choose the cutoff depends on a cost-benefit analysis. For example, even if there is only a 10% chance of an alumni donating, but the call only takes two minutes and the average donation is 100 dollars, it is probably worthwhile to call.
Views: 164092 Data Analysis Videos
How to fit the best distribution to your data
 
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In this module, we will cover how to find the best distribution that fits a given data set using the Sigma Magic software. For more details visit http://www.sigmamagic.com.
Views: 9184 Veena Jayaram
Performing a chi squared test in Excel
 
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An updated version of this video is available here: http://mtweb.mtsu.edu/kblake/excelstats_2sampchisq.html ... along with a dataset that you can download and practice with. The video is part of the free "Excel Stats" online minicourse, which also covers one- and two-sample t-tests, a once-sample chi-square test, and bivariate regression. See: http://mtweb.mtsu.edu/kblake/excelstats.html
Views: 394938 Ken Blake
NCSS Getting Started Tutorial
 
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In this video we'll highlight some of the capabilities and features of NCSS software using a couple of illustrative examples. In the first example, we'll analyze a dataset that includes height and weight measurements from 14 men and 6 women. The dataset is stored in an Excel file, so we'll need to import the data before performing the analysis. The goal of the analysis will be to create a regression model that can be used to predict a male's weight based on his height. The dataset includes records for both males and females, so we'll need to exclude the females before running the analysis. NCSS imports all major statistical and data file formats. To import an Excel file, click File then Import and select Excel Spreadsheet. Choose a file and click Open to start the Import Wizard. The wizard will guide you through the process of importing the file, but you can click Finish at any time to import the data using the default specifications. Let's save the imported data as an NCSS Data File so we don't have to import it again next time we want to use it. NCSS data files are stored with the extension ".NCSS". In this dataset, gender is stored in the 3rd column. Let's open the column info table and rename column 3 so that the name matches the contents. Now we'll set a filter there using the simple point-and-click tools to include only males in the analysis. Notice that the display changes to indicate that some rows are now being excluded. NCSS includes a comprehensive list of statistics and graphics procedures. To perform a simple linear regression, select Analysis then Regression then Linear Regression and Correlation. All of the options are located on a single input screen. As you mouse over the various options, the help pane provides in-depth information. Since our goal is to predict Weight based on Height we'll select Weight as the dependent variable and Height as the independent variable. On the reports tab, let's select the reports to include in the output. Now let's go to the Plots tab to edit the Y versus X scatterplot. We could click on the Plot Format button to edit the plot right now, but instead we'll check the Edit during Run box to edit it while the analysis is running. This will allow us to see the plot with the actual data while we're editing it. Click the green "Run" button to start the analysis. We'll choose new colors and include prediction-limit lines on the scatterplot. Notice that the plot displayed on the window is updated each time we make a change. The report is displayed in the output window. Use the navigation pane to quickly jump to various sections in the report. The regression estimation section of this report shows the model we can use to make predictions about a man's weight using height. The scatterplot gives a graphical representation of this relationship. Double-click the graph to enlarge it. All plots can easily be saved to any one of several file formats. You can also save the entire report or easily cut and paste individual sections into a document or presentation. For our next example, suppose that we want to perform a Mann-Whitney test in NCSS, but don't know where to find it. The Procedure Navigator was specially designed for this scenario. We could browse through the Category Tree to try to locate the procedure, but we'll use the search utility to find it. Simply type the test name in the search box and then click Search. The results indicate that the Mann-Whitney test is part of the Two-Sample T-Test Procedure. Since we're not really familiar with this procedure, let's load the help documentation and find an example that will show us how to proceed. Example 1 includes a Mann-Whitney test in the report, so that will work perfectly. The example instructs us to load the Yield2 example dataset, so let's do that first. Click File then Open Example Data on the Data Window. It also outlines the procedure options to select, but we'll simply load the example template that comes with the software by clicking File then Open Example Template. On the reports tab, we can see that the Nonparametric (Mann-Whitney) Test is selected. Now let's run the analysis. The P-Value for the Mann-Whitney test indicates that there is no significant difference between the two groups. This is also apparent from the box plot. Let's go ahead and save this output to the gallery so that we can compare it to other analyses later on in this session. The output window is cleared each time a report is generated, but the gallery is not. We hope you have found this short introduction helpful so that you can get up and running quickly on your own statistical analyses with NCSS. If you ever have any questions, our support team of Ph.D. statisticians will be happy to assist you! If you are using the free trial of NCSS, your analyses will be limited to 100 rows of data during the trial period. To purchase a full license, visit ncss.com.
Excel - Time Series Forecasting - Part 1 of 3
 
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Part 2: http://www.youtube.com/watch?v=5C012eMSeIU&feature=youtu.be Part 3: http://www.youtube.com/watch?v=kcfiu-f88JQ&feature=youtu.be This is Part 1 of a 3 part "Time Series Forecasting in Excel" video lecture. Be sure to watch Parts 2 and 3 upon completing Part 1. The links for 2 and 3 are in the video as well as above.
Views: 759244 Jalayer Academy
Download the New Distribution Fitting Tool for Excel
 
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Download Risk Solver, the New Distribution Fitting Tool for Excel. Automatic Distribution Fitting with over 30 Distributions. Full compatibility with Excel 2993 and 2007, Stunning Graphics. Download a Free Trial of Risk Solver today.
Views: 1034 solvermark
Cara Mudah Mengerjakan Algoritma K-Means Di Excel
 
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Selamat datang di channel anak itlabs. Kalau kalian suka videonya, jangan lupa Like, Share, Comment, dan Subscribe untuk membantu kami mengembangkan channel ini. --------------------------------------------------------------------- Di video kali ini kita akan belajar Cara Mudah Mengerjakan Algoritma K-Means di Excel Untuk download sourcenya subscribe channel anak itlabs, Tulis email kalian di kolom komentar. --------------------------------------------------------------------- Ikuti videonya, semoga dapat bermanfaat dan menambah wawasan teman-teman serta dapat dengan mudah dipahami. Part 1 Cara Mudah Mengerjakan Algoritma K Means Di Exel https://youtu.be/-lAgH8mObZM Instagram https://www.instagram.com/anakutlabs/ ***Support Your Local Creator*** Excel, Algoritma, K Means, cara menentukan cluster, belajar excel, microsoft excel, dbi k-means excel, tutorial, cara mudah, office, microsoft excel, #Part2
Views: 930 anak itlabs
How to run cluster analysis in Excel
 
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A step by step guide of how to run k-means clustering in Excel. Please note that more information on cluster analysis and a free Excel template is available at http://www.clusteranalysis4marketing.com
Views: 81380 MktgStudyGuide
Solving Problems with Large Data
 
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This video was introduced in the May 2013 NeuroSolutions Newsletter as a NeuroSolutions Tip Box. In this NeuroSolutions Tip Box we will be discussing how to solve problems with large data sets. The focal point of this tip box will revolve around Online versus Batch Training and when and where to use it.
Views: 1075 NeuroDimension
Variation partitioning with two sets of explanatory variables - RDA parcial
 
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Download script: https://mega.nz/#!DAd2SbJL!JrKFpaFVELBiPk0x3-HVKLOWaHdgfukD8c0byNp-mqE Borcard, D., Gillet, F., Legendre, P., 2011. Numerical Ecology with R, Media, Use R! Springer New York #####....free data available at: http://adn.biol.umontreal.ca/~numericalecology/numecolR/
Views: 1480 Alfonso Pineda
How to update Microsoft Excel? From the Microsoft update website
 
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This video shows how to update Microsoft Excel from the Microsoft update website.
Views: 5344 XLSTAT
NCSS Statistical Software (Product Demo)
 
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In this video we'll show you how easy it is to perform a statistical analysis with NCSS. As an example, we'll analyze a dataset that includes height and weight measurements from 14 men and 6 women. The goal of the analysis will be to create a model that can be used to predict a male's weight based on his height. The dataset includes records for both males and females, so we'll need to exclude the females before running the analysis. To open the dataset, click Open on the toolbar and then select the file. We'll load a dataset called "Regression" for this example. If your data are stored in another format like Excel or Access, that's no problem because NCSS imports all major statistical and data file formats. In this dataset, gender is stored in the 3rd column, so we'll set a filter there so that only males are included in the analysis. Simple point-and-click tools make this easy! Notice that the display changes to indicate that some rows are now being excluded. NCSS includes a comprehensive list of statistics and graphic procedures. To perform a simple linear regression, select Analysis then Regression then Linear Regression and Correlation. The procedure window makes it easy to set up the analysis because all of the options are located on a single input screen. As you mouse over the various options, the help pane provides in-depth information. If you'd like more help, click on the "Help" button to display the procedure documentation, which contains technical details and examples. Each procedure in NCSS is fully documented! Since our goal is to predict Weight based on Height we'll select Weight as the dependent variable and Height as the independent variable. By default, all of the reports and plots we probably need are already selected, but let's go to the Plots tab to edit the Y versus X scatterplot. We'll choose new plot colors and include prediction-limit lines. Notice that the format window displays a sample graph so we can see how each option change affects the plot. With the options specified, click the green "Run" button to perform the analysis. The report is displayed in the output window. Use the navigation pane to quickly jump to various sections in the report. The regression estimation section of this report states the model we can use to make predictions about a man's weight using height. The scatter plot gives a graphical representation of this relationship. Double-click the graph to enlarge it. All plots can easily be saved to any one of several file formats. You can also save the entire report or easily cut and paste individual sections into a document or presentation. As you can see, it's easy to perform a statistical analysis and create compelling graphs in NCSS, all in a matter of minutes. NCSS is powerful, comprehensive, and easy-to-use... and if you ever have any questions, our support team of Ph.D. statisticians will be happy to assist you! To purchase NCSS or to obtain a no-obligation, free trial, visit ncss.com.
Panel Data Models with Individual and Time Fixed Effects
 
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An introduction to basic panel data econometrics. Also watch my video on "Fixed Effects vs Random Effects". As always, I am using R for data analysis, which is available for free at r-project.org Link to the data: http://www.burkeyacademy.com/my-forms/Panel%20Data.xlsx Link to previous video: http://www.youtube.com/watch?v=ySTb5Nrhc8g Support this project on Patreon! https://www.patreon.com/burkeyacademy Or, a one-time donation on PayPal is appreciated! http://paypal.me/BurkeyAcademy My Website: http://www.burkeyacademy.com/ Talk to me on my SubReddit: https://www.reddit.com/r/BurkeyAcademy/
Views: 188656 BurkeyAcademy
Descriptive Statistics in Excel
 
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made with ezvid, free download at http://ezvid.com Basic single variable descriptive statistics in Excel using the Data Analysis Add-in
Views: 90210 Alex Vernon
Time Series analysis
 
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Watch this brief (10 minutes or so!!) video tutorial on how to do all the calculations required for a Time Series analysis of data on Microsoft Excel. Try and do your best to put up with the pommie accent. The data for this video can be accessed at https://sites.google.com/a/obhs.school.nz/level-3-statistics-and-modelling/time-series
Views: 104160 mrmathshoops
Drought Trend Analysis using DrinC, Mann-Kendall and Sen's Slope Programs:: Part 2
 
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In this video, I have clearly shown the steps required to do Drought Trend Analysis using DrinC and Mann Kendall Programs. #SharingisCaring #PleaseSubscribe Check this link to watch similar videos: https://www.youtube.com/user/fitsalem/videos?view_as=subscriber
How To Install The Free R Statistical Package
 
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In this video snippet, I'm going to show you how to install the free R statistics package and calculate some basic statistics. This clip is referenced in my blog entitled, How To Quickly Install The Free Statistics Package R. This clip was hijacked from my OraPub Online Institute seminar, Using Skewed Performance Data To Your Advantage. https://resources.orapub.com/OraPub_Online_Training_About_Oracle_Database_Tuning_s/100.htm#skew
Views: 284 OraPub, Inc.
How to run a one-way ANOVA followed by multiple comparisons tests with XLSTAT?
 
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This video show how to run the following tutorial that is on our website: http://www.xlstat.com/en/support/tutorials/ano.htm The data correspond to an experiment where 4 new toothpaste formulas were each tested on 6 different patients in order to measure their effect on the whiteness of teeth. All patients had previously used the same toothpaste. Using the ANOVA function of XLSTAT we want to find out if the results differ according to the formula used and, if so, which formula is the most effective. The case is a one-way balanced ANOVA because there is only one factor - the formula - and the number of repetitions is the same for each formula.
Views: 42242 XLSTAT
Population Genetics & Statistics 2007 pt.2
 
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Part of the free DNA Initiative online training on "Population Genetics and Statistics" at the NFSTC - http://projects.nfstc.org/popgen/
Views: 248 NFSTC at FIU
Part 1 - Using Excel for Open-ended Question Data Analysis
 
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Completing data analysis on open-ended questions using Excel. For analyzing multiple responses to an open-ended question see Part 2: https://youtu.be/J_whxIVjNiY Note: Selecting "HD" in the video settings (click on the "gear" icon) makes it easier to view the data entries
Views: 155135 Jacqueline C
How to use StatView 5.0 english version
 
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Video tutorial how to use StatView for Sceffe's and Tukey-Kramer Free download click http://nazroel.id/2016/08/24/cara-mudah-gunakan-statview-untuk-analisis-statistik-di-publikasi-jurnal-internasional/
Views: 2600 Nazroel Famz
D3 - Parallel coordinates
 
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made with ezvid, free download at http://ezvid.com UTS - MDSI - 36104 Data Visualisation and Narratives - Assessment 1 - by William Azevedo 12227435
Views: 393 willmack100
USA Counties connected to Excel data in SpatialXL
 
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www.PrimeThought.biz: USA GIS demo of SpatialXL, loading shape files and linking to a spreadsheet. PrimeThought Software Solutions is the sellers of SpatialXL; an add-in to Microsoft Excel 2007/2010 which gives Excel graphics capability. Used in mining, engineering, GIS, tracking and logistics.
t-test in Microsoft Excel
 
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How to perform a simple t-test in Microsoft Excel
Views: 1107665 Jim Grange
Teste não paramétrico de Mann-Kendall no XLSTAT
 
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Aplicação do teste de tedência temporal.
Big Data Course - Clustering in General. Spring 2014 Unit 20 Lesson 5. MOOC - Unit 16 Lesson 5.
 
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Lesson Overview: The two different applications of clustering are described. First find geometrically distinct regions and secondly divide spaces into geometrically compact regions that may have no ''thin air'' between them. Generalizations such as mixture models and latent factor methods are just mentioned. The important distinction between applications in vector spaces and those where only inter-point distances are defined is described. Examples are then given using PlotViz from 2D clustering of a mass spectrometry example and the results of clustering genomic data mapped into 3D with Multi Dimensional Scaling MDS. Enroll in this course at https://bigdatacourse.appspot.com/ and download course material, see information on badges and more. It's all free and only takes you a few seconds.
Following trend up Rise and Fall  IMACROS PDFX
 
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IMACROSS PDFX http://pdcfx.blogspot.co.id
Views: 36 Doel Gembhuk

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