Big Two Map
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The document compares two maps that depict crop acreage percentages by county in the United States. A choropleth map on the left uses color-coded counties to show percentages, with darker colors representing higher densities. An isarithmic contour map on the right does not show county boundaries and instead uses contour lines to connect areas of equal crop density, represented by color. While both maps show the same data, the contour map provides a clearer and more memorable visualization by making the continuous data easier to understand across large areas like regions.
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The three rules of data analysis are to make a picture from the data as pictures can reveal non-obvious patterns and features and are the best way to communicate findings to others. Frequency and relative frequency tables organize data into categories and show counts or percentages of cases in each category to describe the distribution of a categorical variable. Bar charts also display categorical variable distributions and adhere to the area principle by ensuring the area of each bar corresponds to the data value, making them a better choice than a ship display used for Titanic passenger data.
Visualization-1
Contains different types of Data Visualizations, best practices to follow for each case and what type of visualization should be made for different kinds of datasets.
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Continuing Our Look At Primary And Secondary Data
The document discusses different types of maps and data presentation methods used in geography. It describes scatter graphs, line graphs, bar graphs, histograms, choropleth maps, dot maps, topological maps, isoline maps, and limitations of maps. Examples are given of choropleth and dot maps showing world population with Egypt highlighted. Maps are useful tools for geographers to locate study areas, show spatial patterns and changes over time.
England's North-South Divide on Home Ownership
A modelling approach to establish whether or not there is a north-south divide in the UK in terms of home ownership. Data used included UK Census and UK Quarterly Labour Force Survey
Grade: 78%
3. frequency distribution
This document provides instructions for creating and interpreting stem-and-leaf plots. It explains that stem-and-leaf plots organize data into "stems" and "leaves" to display the shape, center, and spread of a distribution similar to a histogram. The document includes three examples of constructing stem-and-leaf plots from different data sets and discusses how to interpret the plots, including identifying the median. It also briefly describes how to create frequency tables from raw data.
Types of Microsoft Chart.docx
Microsoft charts can be used to visualize data and maximize impact on an audience. There are various types of charts including column, line, pie, doughnut, bar, area, scatter, bubble, map, stock, surface, radar, treemap, sunburst, histogram, box and whisker, waterfall, and funnel charts. Combo charts combine two or more chart types to make widely varied data easier to understand.
Graphicalrepresntationofdatausingstatisticaltools2019_210902_105156.pdf
The document discusses graphical representation of data using statistical tools. It describes different types of graphs like bar charts, pie charts, scatter plots, and line charts. It explains how to select the appropriate graph based on the type of data and analyze the data. It also discusses limitations of graphs and statistical analysis methods like calculating mean and standard deviation to analyze data in a robust way.
Map Skills Revision
The document provides guidance on map skills for a geography exam, including how to interpret Ordnance Survey maps, use grid references, measure distances, describe features, and understand different map types. It explains how to analyze maps, aerial photographs, and compare map features. Key skills covered are reading map scales, symbols, relief, land use, settlement patterns, and using maps to describe patterns and distributions.
Land Navigation Presentation
This document provides an overview of land navigation training that includes two parts: map reading skills and compass use. Part one covers important map features like marginal information, symbols, terrain features, and determining elevation from contour lines. It emphasizes the purpose of maps for navigation and importance of checking the map date. Part two introduces navigation techniques like determining grid coordinates using a protractor and understanding military compass features. The training aims to teach service members key map reading and land navigation skills for navigating terrain and completing missions.
FCP 3 - Map Reading - CFSGT Putland - Mar 10
The document discusses map reading skills, defining a map, types of maps like topographical maps, how topographical features are represented through techniques like contours and spot heights, scales which show the ratio of distance on a map to distance on the ground, and grid references which provide a precise way to locate points on a map using eastings and northings. It aims to enable cadets to navigate using maps, understand terrain, and communicate locations accurately.
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mapping special variations choropleth and decimetric map.pptx
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Graphicalrepresntationofdatausingstatisticaltools2019_210902_105156.pdf
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Big Two Map
- 1. Maps by Owen Stuckey, April 2015Based on 2010 U.S. Census Data. Comparing the Depiction of United States Crop Acreage Using Choropleth and Isarithmic (contour) Maps Choropleth Map of Crop Acreage 57.5% - 100% 34.3% - 57.4% Percent Cropland per County 18.7% - 34.2% 9.0% - 18.6% 3.7% - 8.9% 0% - 3.6% (Quantile Classification) Contour Map of Crop Acreage These two maps depict crop acreage, the percent of land in each county classified as cropland. The choropleth map shown on the left assigns a numerical value to each county and displays these values using a progressive color scheme. Lighter colors represent counties with a lower density of cropland, and darker colors represent areas with a higher density. The choropleth view is best used to display data within areal units because it emphasizes the differences among these areas. It is also ideal for data that is broken down into similar-sized units. The isarithmic (contour) map to the right assigns a numerical value to each county, however, it does not display county boundaries. Lighter colors are also used to represent areas with lower density and darker colors are used to represent areas with higher densities. These lines are essentially lines of equal crop acreage. In contrast to the choropleth map, ten categories are displayed. The isarithmic view is best used to show data for larger areas such as regions or counties, as it makes continuous data easier to understand. Although the two maps display the same data, the resultant patterns are different. The contour representation is clearer and likely more memorable. Percent Cropland per County (Quantile Classification) 78.4% - 100% 67.7% - 78.3% 57.9% - 67.6% 48.2% - 57.8% 37.9% - 48.1% 28.2% - 37.8% 19.2% - 28.1% 11.1% - 19.1% 3.8% - 11.0% 0% - 3.7%