I am trying to generate a heat map from given data. i Need to analyze where participants came from and how far they were from the event. i Am trying to visualize this in excel and so far have been unsuccessful.
So far I've tried creating each column into a Formula so that I could generate the map via a YouTube tutorial but haven't been able to get it to work. There are international Zip Codes which I feel might be throwing off the map.
I was attempting to use the OFFSET Function to make the data linear and more easier to analyze
=OFFSET(Table1[[#Headers];[Country]];1;0;COUNTA(Sheet1!$A:$A)-1
Any suggestions on the best way to do this in excel? Or how to fix the code so it fits for the analysis. I'll post a bit of the data below.
"Customer Id","City","Region Code","Postal Code","Country","Product Membership Description"
"123","Jacksonville","FL","32256","United States","Metro Magazine;NEWS-MET-Express"
"456","HARTFORD","KY","423471178","United States","Government Fleet;Metro Magazine;Work Truck Magazine;NEWS-GF-Enews;NEWS-GF-EquipmentGuide;NEWS-GF-TopNews;NEWS-MET-Blogs;NEWS-MET-Express;NEWS-MET-Rail;NEWS-MET-Trending;Z3 Metro Transit Accessibility - 6193;NEWS-WT-Utility"
"789","TALLAHASSEE","FL","32301","United States","Metro Magazine;NEWS-MET-Express"
So, just played with your data and set this up. You can expand as you wish, use the city or the region code or post code as you wish.
You can decide what distance data you want to use, perhaps circles of distance from your location may be interesting...
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I have a data set (I have provided a link to a photo of the first 10 lines of the data). For my project I need to filter the “MS” column for “ES” (Spain) and I need to analyze the data and get some conclusions about the data and graphs, Visualizations ect.
But my problem is by looking at the data I just don’t know where to start because it’s just seems like there is nothing to do with the data that is there.
So I have come to all of you to see if you can give em some suggestions and to see if anyone can see any sort of starting point.
These are the details of my project if it helps
Objectives: Represent the protected spaces of Spain and explain the data
Evaluation criteria: Representation is comprehensive, “nice looking” (Visualizations), use of analytics (sql, python, excel ect). Adding to this a report with resources and the conclusion of the análisis with adición representation.
Notes: it’s importe that the cliente “ teachers” (also people from company’s in Spain) can understand the analysis with the report and Visualizations.
Thanks! I have 1863 lines of data (already filtered to ES (SPAIN))
I have data about Hungarian addresses, cities and postal codes in Excel (Office 365) which I want to visualize with 3D Maps. Last week I could visualize similar data, but now I have a problem with that, the program doesn't show locations based on cities. Interesting thing is that if I add latitude and longitude coordinates to my table, it is perfectly working.
In addition I got a pop up message when I open 3d Maps - "3D Maps encountered an error while contacting Microsoft Bing mapping services. Functionality may be limited. (Status Code: 4)"
Do you have any idea about that? What am I doing wrong?
The good news is that it's not something you are doing wrong.
The bad news is that it appears to a much larger issue with Excel 3D Maps that is being reported in several places.
Hopefully Microsoft will pay attention to these reports and come up with a fix quickly.
I am new to Alteryx and am trying to use it for analysing unstructured data. I have a column of description in text form and I intend to use the K-Means Clustering tool for topic modelling. For K-means to work on text, I will need to convert my text into a Document Term Matrix (DTM) so that they appear as continuous variables to the clustering tool. However, I am struggling to find a way I can convert my text to a DTM.
Does anyone know a way to do so? I am currently looking at the R tool but am not exactly sure how to start too. Hoping that all of you experts here can help me out!
I have looked through posts on text analysis and realized that most fell back on the Microsoft Azure ML Text Analysis Macro. However, I would like to avoid using the macro (to not be restricted to limited runs every month for scalability) and instead use tools that are available in Alteryx.
Thanks to everyone in advance!
with Alteryx being more of a pictoral drag-and-drop workflow, it's not trivial to explain here, however I've created the following workflow and included the actual workflow itself on the Alteryx forum here. The workflow utilizes term frequencies from Inauguration speeches but should apply to any collection of documents. It just splits the words based on various non-numeric characters and does a summary. This is what the workflow looks like:
I have university placement data pulled from databases in excel sheet. I need to text mine the job description offered by companies, which is a descriptive field for all the rows and then come up with the analysis of profiles in demand.
Here is a snapshot of the data
Could anyone help me to kick start this activity?
Thanks
Saurabh
I am not a data expert but I have some data mining experience. I would try following these steps for starters:
Excel is not a good for such an analysis. Find some tool dedicated to data mining e.g. RStudio. R has many useful out-of-the-box algorithms for data mining.
Cleanse the data e.g. all texts to lower case, remove stop words, remove punctuation, remove additional white spaces.
Tokenize the data e.g. 1 word tokens - "finance", "bachelor"
Decide on how you will assert if a certain profile is in demand or not? If by profile you mean that you need the information on the frequency of certain tokens appearing in the data more often then others e.g. "finance", "bachelor" etc. then simply create a frequency matrix. R allows you to create a visualisation of this - Word Clouds.
This is to start you off :). I am sure there is much more to be suggested in this matter.
I am going to build an interactive Choropleth map for Bangladesh. The goal of this project is to build a map system and populate different type of data. I read the documentations of the Openlayers, Leaflet and D3. I need some advice to find the right path. The solution must be optimized enough.
The map i am going to create will be something like the following http://nasirkhan.github.io/bangladesh-gis/asset/base_files/bd_admin_3.html. It is prepared based on leaflet js. But it is not mandatory to work with this library. I tried with Leaflet because it is easy to use and found the expected solution within a very short time.
The requirement of the project is to prepare a Choropleth map where i can display the related data. for example i have to show the population of all the divisions of Bangladesh. at the same time there should be some options so that i can show the literacy rate, male-female ratio and so on.
the solution i am working now have some issues. like the load time is huge and if i want to load the 2nd dataset then i have to load the same huge geolocation data, how can i optimize or avoid this situation?
Leaflet has a layers control feature. If you cut down your data to just what is required, split it into different layers and allow the user to select that layers they are interested in viewing that might cut down on the loading of the data. Another option is to simplify the shape of the polygons.