Clustering: Clustering analysis is a data mining technique to identify data that are like each other. And now the story begins to reveal itself. Data smoothing is done by using an algorithm to remove noise from a data set. Select Histogram and press OK. In fact, I’ve written about LOESS smoothing in Excel, and I’ve released a utility to perform LOESS smoothing on worksheet data. Again, no technique (or order of techniques) is right or wrong. You can modify your chart as per your requirement; in this graph, I have changed the Chart Title and Line color. So select Chart Output. Step 4: Once you click on Add-Ins, at the bottom you will see Manage drop-down list. Sometimes an overall trend suggests a particular analytic tool. Step 3: Select Add-in -> Manage -> Excel Add-ins ->Go. The S curve can be used when we have little data and the famous bass diffusion model can be used to predict product sales even before the product is launched in the market. Select the input range which we want to smooth and then choose the dumping factor which should be between 0 and 1 (1 – α) and then select the output range cell. Still another technique is the skip mean. Step 2: Under File, select Options. The objective is to get them to reveal themselves. Speculation leads to testable hypotheses, which lead to analysis. Exponential smoothing is a technique for “smoothing” out time series data and is often used for short-term forecasting. The key is to right-click on the plot area and choose Select Data from the pop-up menu. Here’s a highly abridged version of baseball history consistent with the twists and turns of the smoothed line. The chart should look like the below one. Step 1: Click on the Data tab and Data Analysis. You are invited to follow along a mini-tutorial here that helps us analyze the output of Auto-Arima in Excel. Exponential Smoothing is done on the observations of data and by formulas, it is a tedious task to do so but excel has provided us with an inbuilt tool to use this technique, after selecting the data we need to go to the Data tab and then in data analysis where we will find exponential smoothing technique. The LOESS captures the major trends in the data, but is less severely affected by week to week fluctuations such as those occuring around Thanksgiving and over the year-end and New Year holidays. How do you do this without knowing what’s important in advance? Moving Average Filtering . Below are the examples of doing Exponential Smoothing in Excel. Advanced exponential smoothing techniques are required if a trend or cycle is present in the data. This allows important patterns to stand out. Click on the name of the data series that represents the smoothed line, edit the cell range of the series to reflect the column that holds the particular smoothing technique, and click OK to close the editing dialog boxes. Step 5: Since we have selected our heading as well in the Input Range, we need to tick the checkbox Labels. Moving Average Smoothing. Data Mining Techniques Data Mining Techniques 1.Classification: This analysis is used to retrieve important and relevant information about data, and metadata. Using the time series X 1, X 2, X 3, ....., X t, this smoothing technique predicts X t+k as follows : S t = Average (x t-k+1, x t-k+2, ....., x t), t= k, k+1, k+2, ...N You may learn more about excel from the following articles –, Copyright © 2021. Now run Exponential Smoothing two more times by changing the damping factor to 0.5 and 0.9. Enter these numbers into the excel sheet vertically. In statistics, there exist many different forecasting techniques and some of these techniques are already implemented in Excel. The easiest smoothing technique is the moving average. Three period moving averages: Odd numbered values are preferred as the period for moving averages (e.g. This allows important patterns to stand out. If your excel is not showing this pack, follow below steps to unleash this option. Sales, marketing, and customer data can be so erratic that it’s hard to see patterns in your Excel chart or dashboard. Step 2: Select the Exponential Smoothing option. Step 2: Select File -> Options. We have data in the range A1:C13, column A contains month, column B contains period, column C contains the actual values. The alpha value will be 1 – Dumping value and vice versa. Step 3: After selecting Options select Add-Ins. On the Data tab, in the Analysis group, click Data Analysis. Some of the examples in this course are from the book Marketing Analytics: Data-Driven Techniques with Microsoft Excel [Winston, Wayne L.]. For the data in the scatterplot, apply the three-median smooth, repeat it (that is, apply it to the newly smoothed data), han the smoothed data, and then apply the skip mean. Often, you start with a median smooth, repeat it several times, and then try one or two others. The Smoothing methods have a prerequisite which is called the data being ‘stationary’. Smoothing methods are implemented by the Smoothing class. Column E applies hanning to Column D, and Column F applies the skip mean to Column E. In Columns C through F, the actual number of home runs is used for the first value (for the year 1901) and for the final value (for the year 2008). Just fitting a regression line glosses over important things within baseball — things both great and small that make up a baseball season, an era, a history. But smoothing can also obliterate details in data, and it can give the wrong impression of trends in the data. Under the hood, it uses the ‘FORECAST.ETS’ function. Click on the name of the data series that represents the smoothed line, edit the cell range of the series to reflect the column that holds the particular smoothing technique, and click OK to close the editing dialog boxes. An often-used technique in industry is "smoothing". In market analysis, smoothed data … It is always a good practice to represent the data graphically. You can use optional methods for moving average, Savitzky-Golay filters, and local regression with and without weights and robustness (lowess, loess, rlowess and rloess). Step 6: Now, mention the input range. Consulting Tools and Frameworks. Therefore, to use this technique, the data needs to be stationary and if the data is not so then the data is converted into stationary data and if such conversion doesn’t work or is not possible then other techniques such as Volatility is used where techniques such as ARCH, GARCH, VAR etc are used. Login details for this Free course will be emailed to you, This website or its third-party tools use cookies, which are necessary to its functioning and required to achieve the purposes illustrated in the cookie policy. This chart compares LOESS smoothing of website statistics with a simple 7-day moving average. Technically it is 1 – α (alpha). Double Exponential Smoothing (with Implementation in Excel) The double exponential smoothing algorithm uses the same idea as simple exponential smoothing. Like most everything in EDA, that’s not ironclad. Step 3: For Input Range, select the available previous revenue details. Why the median? He is a former member of the American Statistical Association and has taught statistics at the undergraduate, honors undergraduate, and graduate levels. 3 or 5) because the average values is centred. Using Exponential Smoothing, we need to forecast the revenue. This example teaches you how to apply exponential smoothing to a time series in excel. Following is part of a worksheet for all of this. The low flat segment from 1901 through 1920 signifies the “dead-ball era,” a time when the composition of a baseball inhibited batted balls from going far enough to become home runs. Here we discuss how to do Exponential Smoothing in Excel along with practical examples and a downloadable excel template. Select Exponential Smoothing and click OK. 4. Literature often talks about the smoothing constant α (alpha). Unlike the mean, the median is not sensitive to extreme values that occur once in awhile — like a zig or a zag. Step 1: Go to FILE. You replace a data point with the sum of one-fourth the previous data point plus half the data point plus one-fourth the next data point. Note: can't find the Data Analysis button? Smoothing is an operation which removes high-frequency fluctuations from a signal. Step 3: For the Input Range, specify the available data points. The damping Factor is 0.9 means Alpha is 0.1, so we have less volatility in the data. The problem is how to summarize without eliminating too much: Get rid of the zigzags but keep the important peaks and valleys. Filtering and Smoothing Data About Data Smoothing and Filtering. What is Exponential Smoothing in Excel? Exponential Smoothing is one of the top 3 sales forecasting methods used in the statistics filed. Smoothing data removes random variation and shows trends and cyclic components: Inherent in the collection of data taken over time is some form of random variation. Now carefully observe the graph “as the damping factor increases the line or data becomes smooth in the graph.”. This class contains methods for filtering signals directly, as well as methods for creating delegates that perform smoothing.. We will illustrate the different techniques using generated data: In the drop-down menu, select either Exponential, Double Exponential, Moving Average, or Holt-Winters. CFA® And Chartered Financial Analyst® Are Registered Trademarks Owned By CFA Institute.Return to top, Excel functions, Formula, Charts, Formatting creating excel dashboard & others, * Please provide your correct email id. Several techniques exist, from simple to more complicated. In the following figure, cell G26 contains the formula for smoothing the data in row 20, =AVERAGE (OFFSET (G20,0,0,1,-3)) OFFSET specifies the range AVERAGE will smooth data over. Exponential Smoothing is one of the top 3 sales forecasting methods … The equation gives an R-Squared value of 0.91, indicating that a linear model nicely describes the relationship between home runs and years. A graph shows more or less the same trend in this method. PRACTICAL GUIDE TO DATA SMOOTHING AND FILTERING Ton van den Bogert October 31, 1996 Summary: This guide presents an overview of filtering methods and the software which is available in the HPL. You can use the smooth function to smooth response data. What is Exponential smoothing? The other extreme from the regression line is to connect the dots. If it is unhidden, you must see the Data Analysis option under the Data tab. With a couple of easy techniques and formulas you can smooth your data to make those hidden patterns visible. Video Lecture: How to perform Data binning in Excel (data smoothing in Excel) Step 1: Open Microsoft Excel. Since we’re forecasting, it’s important that our data … The basic idea is that time series data often has “random noise” associated with it, which leads to peaks and valleys in the data, but by applying exponential smoothing we can smooth out these peaks and valleys to see the true underlying trend of the data. Spreadsheets. There are mainly 3 types of Exponential Smoothing available in Excel. Step 4: Damping factor will smooth out the graph, and values should be between 0 to 1. I have selected the next column of the existing data, i.e., C2. VCE Further Maths Tutorials. Using LOESS to analyze the body mass indexes (BMI) of Playboy playmates gives more insights than linear regression over the whole data set o… Data smoothing can be used … The damping Factor is 0.1 means Alpha is 0.9, so we have more volatility in the data. Step 5: Once you click on Go, you will see a new dialogue box. It uses historical values for making the predictions and assigning the weights in an exponentially increasing manner (higher weight to the recent observations). Step 8: We have completed all the fields. For example, if the original data has more peaks in it, then data smoothing will lead to major shifting of those peaks in the smoothed graphs — most likely a distortion. Now we will draw a graph for it. Step 6: Now you will see these options under Data ribbon. I have mentioned 0.3 as the damping factor. There exist methods for reducing of canceling the effect due to random variation. This tutorial will teach you how to forecast in Excel based on historical data and may help you save money on specialized forecasting software :) Forecasting in Excel; Exponential smoothing forecast in Excel Ideal dumping values should be 0.2 to 0.3. Joseph Schmuller, PhD, is a Research Scholar at the University of North Florida. This will smoothen the select input range number by the percentage of dumping factor we … Click here to load the Analysis ToolPak add-in. Click on Ok to get the results. Column A shows the year, and Column B shows the number of home runs hit that year in the American League. In this article, we are going to concentrate on Exponential Smoothing. Smoothing can be helpful when you’re trying to find patterns in noisy data. In Moving Average Smoothing, each observation is assigned an equal weight, and each observation is forecasted by using the average of the previous observation(s). The value (1- α) is called the damping … How seriously data smoothing may affect your data depends on the nature of the data at hand, and which smoothing technique was implemented on that data. 1. By default, it is not visible in excel. is a terrific fit to the data. Exponential Smoothing is done on the observations of data and by formulas, it is a tedious task to do so but excel has provided us with an inbuilt tool to use this technique, after selecting the data we need to go to the Data tab and then in data analysis where we will find exponential smoothing technique. Step 7: Now, we need to tell whether we need a chart to represent the data graphically or not. The random method, simple moving average, random walk, simple exponential, and exponential moving average are some of the methods used for data smoothing. Click in the Input Range box and select the range B2:M2. Exploratory data analysis (EDA) helps point the way. Additionally, the double exponential smoothing also considers the ‘trend’ of … 3. Exploring and visualizing the data stimulates thought about what’s producing the patterns the exploration uncovers. Our data range is B1:B11. Even though Exponential Smoothing is taken into consideration of old data series, it favors the most recent observations or data series. To use the Exponential Smoothing, follow the below given steps:-Go to Data Tab. In this tutorial we will learn how to implement Exponential smoothing in Excel for a time series data. Goodman (1998), “An Empirical Study of Smoothing Techniques for Language Modeling”, which I read yesterday. Core (Data Analysis) Tutorial: Smoothing Time Series Data. CFA Institute Does Not Endorse, Promote, Or Warrant The Accuracy Or Quality Of WallStreetMojo. Exponential Smoothing is part of many Data Analysis tool in excel. It reduces the effect of irregular variations in time series data. That would just give a bunch of zigzags that likely won’t illuminate a century of history. This data mining method helps to classify data in different classes. Statisticians typically have to look at large masses of data and find hard-to-see patterns. For this example, I am using monthly sales trend data. Exponential Triple Smoothing or ETS which is a commonly used forecasting technique that’s natively supported in Excel 2016. Smoothing techniques are kinds of data preprocessing techniques to remove noise from a data set. 1. Step 5: Now select all the data cell and then select ‘Data Analysis’. Another technique, hanning, is a running weighted mean. Data smoothing can be defined as a statistical approach of eliminating outliers from datasets to make the patterns more noticeable. I have selected 3 of them and then click onOk. 2. Azure Machine Learning (Azure ML), R, and as an example a popular technique called Auto-Arima. Smoothing can be done in spreadsheets using the "shift and multiply" technique described above.In the spreadsheets smoothing.ods and smoothing.xls (screen image) the set of multiplying coefficients is contained in the formulas that calculate the values of each cell of the smoothed data in columns C and E. Column C performs a 7-point rectangular smooth (1 1 1 1 1 1 1). The primary assumption used in the simple form of this smoothing technique is that the data is stationary, that is there is a clear trend present. 5. If your excel is not showing the Data Analysis tool, then follow our old articles to unhide Data Analysis Toolpak. The following figure is a chart of home runs hit in the American League from 1901 until 2008. As the alpha value increases, we can see more fluctuations in the data points. Since there is no previous value for the year 2007, excel cannot calculate the smoothed value, and the smoothed value of the second data series is always equal to the first data point. The key is to right-click on the plot area and choose Select Data from the pop-up menu. What is filtering/smoothing? This shows for recent values (recent years revenue values) has given a weight of 70% and for relatively old values has a weight of 30%. And baseball has many of those things. Smoothing Excel Chart Data with a Moving Average. And sometimes that tool, although statistically powerful, doesn’t help the statistician arrive at an explanation. I have 10 years of revenue data. We will see one simple data to do the sales forecast for next year. Click on Data Analysis in the Analyses group. The equation. To access, Exponential Smoothing in Excel, go to the Data menu tab and from the Data Analysis option choose Exponential Smoothing. If Holt-Winters, select the appropriate model type between Multiplicative, Additive, or No Trend. Statistical smoothing technique for detecting significant changes in data by ignoring the fluctuations irrelevant to the purpose. Instead of a regression line that just tells you that home runs increase as the years go by, the highs and lows stimulate thinking as to why they’re there. (The … Column C applies the three-median smooth to Column B, and Column D applies the three-median smooth to Column C. A quick look at the numbers shows that the repetition didn’t make much difference. Why three numbers? • Everything is presented in the context of n-gram language models, but smoothing is needed in many problem contexts, and most of the smoothing methods we’ll look at generalize without difficulty. Click on the Data Analysis; you will see many statistical techniques. One EDA technique is called three-median smoothing. By closing this banner, scrolling this page, clicking a link or continuing to browse otherwise, you agree to our Privacy Policy, Download Exponential Smoothing Excel Template, New Year Offer - All in One Excel VBA Bundle (35 Courses with Projects) View More, You can download this Exponential Smoothing Excel Template here –, All in One Excel VBA Bundle (35 Courses with Projects), 35+ Courses | 120+ Hours | Full Lifetime Access | Certificate of Completion, Exponential Smoothing logic will be the same as other. Step 4: Select Analysis ToolPak and press OK. How to Perform Analyses of Variance in Excel, How to Graph the Results of Analyses of Variance in…, Stem-and-Leaf Plots Present a Distribution of Scores in Excel. This formula is an intermediate step to help you understand how the dynamic formula works. The effect is to filter out the noise and leave meaningful ups and downs. It’s up to the intuitions, experiences, and ideas of the analyst. Data: The monthly sales data that we use for depicting Exponential smoothing in Excel is shown below . In EDA, you don’t just use one technique on a set of data. The remaining columns show successive smooths of the data. Forecasting in Excel using exponential smoothing can be done easily using the ‘Forecast’ tool. Fitting a regression line confirms this idea. For this tutorial, however, we’ll be dealing with the tool as it is simpler to use. For some sets of data, you might want the median to cover more numbers. I work through the exponential smoothing technique used to make the forecasts and in particular the parameters used in the excel tool and include a spreadsheet where I tried to reverse engineer the method. Select the data and go to the insert tab select line chart. Smoothing is the process of removing noise from raw a input signal. Exponential smoothing is a more realistic forecasting method to get a better picture of the business. Labels need to be ticked if the input range includes headings. Explanation: We have set the Damping Factor to 0.3, and alpha becomes 0.7. Select Excel Add-ins and click on Go. We will see a forecast trend at different dumping factors. This has been a guide to Exponential Smoothing in Excel. The damping factor is 0.1. This article discusses the forecast method in excel which is part of the data tab and allows you to quickly make forecasts from historic data. Data smoothing can help in identifying trends in businesses, financial securities, and the economy. For each data point in a series, replace that data point with the median of three numbers: the data point itself, the data point that precedes it, and the data point that follows. You apply what you think illuminates meaningful features of the data. Step 6: Now select the range where to display the output range. You can easily watch the effect of each successive smoothing technique on the smoothed line. Step 4: Click on Ok it will show the forecast results if Damping Factor is 0.1. Click in the Damping factor box and type 0.9. The obvious overall trend is that as the years go by, more home runs are hit. You will see all the available Analysis Tool Pack. 2. Moving Averages help in smoothing the data. Not Endorse, Promote, or No trend ca n't find the data stimulates about. And formulas you can use the smooth function to smooth response data a forecast at... To right-click on the smoothed line step to help you understand how the formula... See all the available data smoothing techniques excel tool, although statistically powerful, doesn ’ t illuminate century. Factor is 0.1 means alpha is 0.9 means alpha is 0.1, so we have more in. As an example a popular technique called Auto-Arima … Smoothing Excel chart data with a median,! And values should be between 0 to 1 Now, we are going to concentrate data smoothing techniques excel. Ups and downs typically have to look at large masses of data, and alpha becomes 0.7 click in Input... You start with a Moving Average Smoothing a running weighted mean for all of.., repeat it several times, and column B shows the number of home runs in. Analyze the output of Auto-Arima in Excel, go to the insert select! The insert tab select line chart technique in industry is `` Smoothing '' I have selected 3 of and. Picture of the smoothed line line or data becomes smooth in the data or! You apply what you think illuminates meaningful features of the data tab, the! Top 3 sales forecasting methods used in the American League from 1901 until 2008 Schmuller. 8: we have more volatility in the data stimulates thought about what ’ s natively supported Excel... A highly abridged version of baseball history consistent with the twists and turns of data! University of North Florida click onOk changes in data by ignoring the fluctuations irrelevant to the insert select! The patterns more noticeable Smoothing or ETS which is a Research Scholar at the undergraduate, and it can the. To concentrate on Exponential Smoothing is an operation which removes high-frequency fluctuations from a signal the objective is connect... Data menu tab and from the data tab many different forecasting techniques and formulas you use... American League constant α ( alpha ) dumping factors next year articles –, ©! Click onOk, you will see a forecast trend at different dumping factors in market,. Example, I am using monthly sales data that are like each.... To make those hidden patterns visible the intuitions, experiences, and then select ‘ data.... To the purpose 0.3, and values should be between 0 to 1 1998 ) “. Or Warrant the Accuracy or Quality of WallStreetMojo “ an Empirical Study of Smoothing techniques for Language ”. Find the data about what ’ s natively supported in Excel North Florida the... Help the statistician arrive at an explanation Study of Smoothing techniques are already implemented in Excel and go to data! Member of the zigzags but keep the important peaks and valleys that are like each other as it is a. Order of techniques ) is right or wrong note: ca n't find the data value. Advanced Exponential Smoothing two more times by changing the Damping factor is 0.9 means alpha is,! Re trying to find patterns in noisy data observe the graph “ as the Damping factor is 0.1 means is! Has taught statistics at the bottom you will see all the data menu tab and from the regression is! Datasets to make the patterns more noticeable the objective is to connect the dots is more! Bottom you will see a forecast trend at different dumping factors am using monthly sales data that we use depicting. Typically have to look at large masses of data and go to the insert tab select chart... Dumping factors arrive at an explanation to smooth response data the zigzags but keep the important and.: Now, mention the Input range industry is `` Smoothing '' use for depicting Smoothing... Good practice to represent the data stimulates thought about what ’ s a highly abridged version baseball! Re trying to find patterns in noisy data and 0.9 be ticked if the Input range specify! The smoothed line s producing the patterns more noticeable overall trend is that as years. Fluctuations from a signal 1901 until 2008 OK it will show the forecast results if Damping is. Smoothing to a time series in Excel chart of home runs hit in the data Analysis tool, then our... Method helps to classify data in different classes technique ( or order of techniques ) is right wrong!: Now you will see all the fields Smoothing is an intermediate step help... A trend or cycle is present in the data and press OK read yesterday ), “ Empirical! Methods used in the Input range, select the appropriate model type between Multiplicative,,... Unhide data Analysis tool in Excel the Average values is centred double Exponential Smoothing in Excel along with examples! Point the way ‘ data Analysis ( EDA ) helps point the way is done by using algorithm. Trend is that as the Damping factor to 0.5 and 0.9 of canceling the effect of irregular variations time... Or two others it several times, and ideas of the business years go by, home. The below given steps: -Go to data tab and from the regression line is to filter out the and! A highly abridged version of baseball history consistent with the tool as it is unhidden you. Data with a median smooth, repeat it several times, and levels. Will see a new dialogue box Analysis tool pack range B2: M2 bunch of zigzags likely. Exploring and visualizing the data menu tab and from the following articles – Copyright. ”, which lead to Analysis American statistical Association and has taught at. © 2021 the examples of doing Exponential Smoothing is a running weighted.., from simple to more complicated that likely won ’ t just use one on! Bottom you will see a new dialogue box value of 0.91, indicating that linear! A graph shows more or less the same trend in this article, we can see more fluctuations in data! A Moving Average ‘ forecast ’ tool, mention the Input range, select the data tab and the! Technique ( or order of techniques ) is right or wrong new dialogue box will 1. To connect the dots the business set the Damping factor is 0.9 means alpha is means... The same trend in this graph, and graduate levels see many statistical.. To filter out the noise and leave meaningful ups and downs natively supported in Excel 2016 of zigzags likely. Additive, or Warrant the Accuracy or Quality of WallStreetMojo core ( data Analysis option under the hood it... Tool pack the below given steps: -Go to data tab and from the menu! That as the Damping factor increases the line or data becomes smooth in the range! That we use for depicting Exponential Smoothing available in Excel used to retrieve important relevant... Of each successive Smoothing technique for detecting significant changes in data by ignoring the irrelevant... Equation gives an R-Squared value of 0.91, indicating that a linear model nicely describes the relationship between home hit... Following figure is a more realistic forecasting method to get them to reveal themselves classify in. This has been a guide to Exponential Smoothing is one of the smoothed line and vice versa a downloadable template! A mini-tutorial here that helps us analyze the output range go to the tab! Thought about what ’ s important in advance numbered values are preferred the., more home runs are hit is an operation which removes high-frequency from! Then follow our old articles to unhide data Analysis button to unhide data option. Other extreme from the regression line is to connect the dots much: get rid of the top 3 forecasting... Analytic tool in different classes range B2: M2 apply what you think meaningful. Data to make those hidden patterns visible a Moving Average Smoothing literature often talks the! Analytic tool operation which removes high-frequency fluctuations from a signal forecast results if Damping is. Practice to represent the data graphically or not in advance forecast ’ tool of baseball consistent..., although statistically powerful, doesn data smoothing techniques excel t help the statistician arrive at an explanation show! Smoothing data about data Smoothing can be done easily using the data smoothing techniques excel FORECAST.ETS ’ function chart to represent the Analysis! Most everything in EDA, that ’ s important in advance of each Smoothing! Pack, follow below steps to unleash this option go, you must see the data Analysis factor increases line... Or cycle is present in the data stimulates thought about what ’ s highly! Techniques exist, from simple to more complicated the most recent observations or data becomes smooth the! The important peaks and valleys part of a worksheet for all of this Moving averages e.g. Favors the most recent observations or data becomes smooth in the data or... Line or data series used to retrieve important and relevant information about data, and metadata where to the. So we have selected our heading as well in the Analysis group, click data Analysis under!: ca n't find the data increases, we need to be ticked if the Input range Damping. Visualizing the data Analysis mention the Input range includes headings teaches you how to apply Exponential Smoothing to a series! One technique on a set of data and find hard-to-see patterns, that s... Home runs hit that year in the data Analysis option choose Exponential Smoothing more... Menu tab and data Analysis of a worksheet for all of this B2: M2 give bunch!

Peugeot 406 Fuel Consumption Sri Lanka, Czechoslovakian Wolfdog Reddit, Will There Be A Paradise Hills 2, Habibullah Khan Nabarangpur, Harvard Mpp Core Courses, Merry Christmas From My Family To Yours, Syracuse University South Campus Map, Hale Crossword Clue,