I have two CSV's with longitude, latitude and altitude data and I want to plot both with different colors in Google Earth Pro (so 3D). Is this even possible? If so, how can I do this? I can only find 2D plotting.
Best
Do you want one set of placemarks to be in one color, and the other in another? In that case you should be able to select the placemarks imported from each CSV, and modify their styling or icon type following these instructions:
https://support.google.com/earth/answer/148142?hl=en#zippy=%2Cdrag-or-edit-the-placemark%2Cuse-a-custom-icon
If instead you're trying to set colors based on field values (e.g., altitude), you can create a style template as described her:
https://support.google.com/earth/answer/176685?hl=en#styletemplate&zippy=%2Cimport-generic-text-files%2Cmap-color-styles
HTH!
Related
I want to use Google Data Studio to visualize the location of NGO´s in Europe. Some of these share the same HQ Location in the Data e.g. Italy Rome. Idea is to transfer these into Lat,Long coordinates and slightly manipulate the values to show them with their name in the GMaps bubble diagram. The original data is unfit, because the digram cannot display multiple tooltips/names for the same location.
I have been following this guide https://michaelhoweely.com/2020/05/04/how-to-build-a-custom-google-map-in-data-studio-using-google-sheets-and-geocode/ to do the Geo Coding of the locations.
Problem is that the Geo Chart goes blank if I choose Lat,Long as the location dimension. Even the original data (not modified by me) will cause the same issue.
GDataStudio_Lat_Long_Vis_Issue
Any idea of what I am doing wrong here or having a better idea of how to do the visualization?
You also have to make sure you change the type to GEO, as it sometimes defaults to ABC or numeric.
It may help to concatenate the latitude and longitude values to follow the WKT format, as shown below.
CONCAT(<longitude_column>, ", ", <latitude_column>)
In the current state, the latitude and longitude are reversed, so the error is probably caused by each value exceeding the default range for latitude and longitude.
I have a data where at one latitude and longitude multiple shops are located.
For Example.
Latitude Longitude ShopId Type
6.24458 50.001756 101 Saloon
6.24458 50.001756 102 Groceory
6.24458 50.001756 103 Pharmacy
6.24458 50.001756 104 FishMarket
When on map I am plotting using above latitude & longitude I am getting single mark. And when I hover the mark I am getting single shop details but I want 4 marks and on each mark it should show respective shopid and Type.
I am new to Tableau and not able to figure out how to do it.
You are likely getting 4 marks displayed at the same location. So when you click on the mark you see, then you are only selecting the top mark. You can verify this by dragging over the mark to select all the marks within a selection rectangle. If you then, right click and view data, you should see all 4 marks.
Another thing that can help when you have overlapping marks, is to make the marks partially transparent and add a border around the marks. Both options are available by clicking on the Color button on the marks card to get to the advanced color settings.
If this is not the behavior you want, you have a couple of options. One easy approach is to add a little random noise to each latitude and longitude (called jitter). Adding a little jitter makes the marks visible, although the size of the jittering depends on your data and scale. Jittering is especially useful if all your points are geocoded to the same situation - say if every building with a Los Angeles address is treated as if it is located at city hall. In that case, the geocoding distorts the data to a degree that jittering is just fine.
The undocumented RANDOM() function is an easy way to add some jitter. Excel and Hyper Extracts support RANDOM() among other data source types. It returns a number between 0 and 1.
The other options involve treating your coordinates as continuous dimensions instead of measures, and then using some other visual attribute size, color etc to indicate the number of items at each location. It is often useful to combine nearby items with some sort of grid or hex bin function -- In this case, instead of adding random noise to each coordinate, you round or truncate it in someway to effectively snap points to a grid. The ROUND() and HEXBINX() HEXBINY() functions are useful here. When using this approach, be sure your packed coordinate fields are continuous dimensions and have the appropriate Latitude or Longitude geographic role.
Finally, take a look at the density mark type. It can make visual heat maps, either working with exact data points or grid packed points.
I have an existing map of ward in Chicago in Tableau:
I have a separate CSV file, linked to primary data source by Ward. It contains pairings of Long/Lat points. I can make a map of it by itself, but cannot find a way to place the points on this map. How would I do that?
If you want to overlay the dots to the existing area map you will need to use dual axis. Steps to follow are:
drag latitude (or longitude) from the csv datasource to rows (or columns); this will create another map
right click on the newly added measure and select "Dual axis"; this will overlap the two maps
in the marks box on the left you will be able to select different display settings for the two axis you will then have
You can also find a nice tutorial here
As shown in the image , Im trying to create an Area chart of unemployment/1000 peoplein India based on both genders but categorized on Area type(rural or urban).
In this area chart Im trying to use dual axis so that I can filter it based on Type of Area(rural or urban). However dual axis wont work here since rural and urban are part of the same column. How can i create an area chart in this scenario ?
I cannot put area type in color since it will give me aggregated values of both rural and urban. Something like this
Data Set is given below
I am using Mapbox to build a multiple choropleth map.
Something along the lines of this example, https://www.mapbox.com/mapbox.js/example/v1.0.0/choropleth-joined-data-multiple-variables/
I am using countries instead of US states however.
I've got the map working and I can switch between layers
I have an extra requirement however to add a marker in each country that displays how many projects are active in that country.
I found out how I can add custom markers to the map with this example, https://www.mapbox.com/mapbox.js/example/v1.0.0/divicon/
The problem is I need to put a marker in the center of each country.
Does anybody know a way to put a marker in the middle of each country?
I tried to use the natural earth admin 0 label points data but that has multiple points per country. It looked like the 'scalerank=0' points were the middle of the countries but if I filter on these points, I still get multiple points for some countries (russia has 4 for instance, but Belgium has 4 as well).
If you plot all scalerank 0 points on a map you get the following result:
https://a.tiles.mapbox.com/v4/persyval.jg5p7gm7/page.html?access_token=pk.eyJ1IjoicGVyc3l2YWwiLCJhIjoiX3lrSTNYYyJ9.6Ps4OlBCYmlkxQksKsGb7A#6/45.159/12.206
Does anybody know about a dataset that has one point per country or another way to put a marker in the center of each country with mapbox?
It seems it's hard to find a list of country points for the placing of markers.
So I took the mentioned admin labal 0 points and tried to sanitize it to have only one appropiate marker per country.
The result can be downloaded here in GEOJSON format:
https://drive.google.com/file/d/0B6IQhfb-UYeUYk1mcUZaMmV0S1U/edit?usp=sharing
If you want to have a visual representation of the points take a look at this map:
https://a.tiles.mapbox.com/v4/persyval.jgk4767c/page.html?access_token=pk.eyJ1IjoicGVyc3l2YWwiLCJhIjoiX3lrSTNYYyJ9.6Ps4OlBCYmlkxQksKsGb7A#4/36.49/34.32
I needed this points for a proof of concept project so I haven't checked all markers meticulously, I also haven't taken account some of the more political sensitive country borders.
If you have a project in which this is of importance please check the file before using, but the points in this file can be easily edited to your own preferences.