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Copy file name to clipboardExpand all lines: App_combine_version/introduction.Rmd
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### Global temperature datasets
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Notes: There are some missing values in the following datasets, which leads to the incompleteness of the temperature map in some year.
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* Global Temperature contains global land average temperature from 1750 to 2015.
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* Global Temperature contains global land average temperature from 1750-2015. Note: there are some missing values in this dataset.
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* Global Land Temperature by Country dataset contains global land average temperature from 11/1743 to 09/2015.
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* Global Land Temperature by Country dataset contains global land average temperature from 11/1743-09/2015.
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* Global Land Temperature by State dataset contains global land average temperature from 11/1743 to 09/2015.
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* Global Land Temperature by State dataset contains global land average temperature from 11/1743-09/2015.
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**Notes**
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There are some missing values in the following datasets, which leads to the incompleteness of the temperature map in some year.
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## Guide to App
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### Air Quality Index
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#### AQI Plot
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#### 1. AQI Plot
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##### Analysis selection - Boxplot of AQI
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This boxplot can show you how AQI distributed from 2000-2017. You can use the notches on the boxplots to analyze whether there is strong evidence (95% confidence) that their medians differ, whether the median changed much during specific time period and whether the distribution approximate to normal distribution or it was skewed.
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This boxplot can show you how AQI distributed from 2000-2017. You can use the notches on the boxplots to analyze whether there is strong evidence (95% confidence) that their medians differ, whether the median changed much during specific time period and whether the distribution approximated to normal distribution or it was skewed.
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Select the CBSA you are interested and then red spots on the boxplots can tell you how the air quality in that area was compared to other CBSAs in each year (Above median or below median). The default value of CBSA is Providence.
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###### Boxplot of AQI
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+**Boxplot of AQI**
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<br/>
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<divstyle="text-align:center";width:100px>
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You can use the Health Concern Plot analyze the trend of percentage of each health concern level during a specific time period and compare the percentage among CBSAs.
Choose year period, CBSA and Health Concern Levels you want to analyze. You can select multiple CBSAs and Health Concern Levels to do comparison analyses. The picture above show you the default values of each selection.
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Choose year period, CBSA and Health Concern Levels you want to analyze. You can select multiple CBSAs and Health Concern Levels to do comparison analyses. The picture above shows you the default values of each selection.
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###### Plot Selection
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+**Plot Selection**
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For users who want to do comparison during a relatively long time period, the better choice is to select line plot and analyze the trend.
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For users who want to do comparison only in one or a few years, select bar plot here. For example, if users want to compare the percentage of health concern levels between different CBSAs only in a specific year (2008), choose bar plot and the graph will display properly.
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###### Health Concern Plot
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<br/>
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+**Health Concern Plot**
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<br/>
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<divstyle="text-align:center";width:100px>
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</div>
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<br/>
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<br/>
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<divstyle="text-align:center";width:100px>
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#### Pollutant AQI Trend
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</div>
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<br/>
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#### 2. Pollutant AQI Trend
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You can use these time series plots to analyze the trend of AQI by pollutant.
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##### Inputs Selection
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+**Inputs Selection**
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You can select multiple inputs for cities and pollutants to do comparison. Use the Year slider to choose the time period (Default value is 2000-2016).
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<br/>
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The data comes from annual aqi by cbsa. For the pollution part, the variables are percentage of a certain pollutants because some of the original data are zero. For the health part, the input variable is the number of different situations of days(Good, unhealthy, etc). The cluster count is the number of clusters you want to divide.
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### Map
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#### Air Quality Map
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#### 1. Air Quality Map
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##### Input Selection
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##### Inputs Selection
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The year is the certain year you want to specify to get to know about the air quality of the United States. The color is the kind of color you want to display in the state map.
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**Note**
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**Notes**
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The data is from the center of disease control. The air quality is a combination of the ozone and PM2.5.
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#### Temperature Map
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#### 2. Temperature Map
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##### Inputs Selection
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<br/>
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<divstyle="text-align:center";width:100px>
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Use the two datasets analyze temperature by countries or states.
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**Note**
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**Notes**
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There are some missing values for some countries or states which caused the incompleteness of the map in specific year.
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There are some missing values for some countries or states which caused the incompleteness of the map in specific year. Because the datasets used for map are kind of large, it may take relatively long time for loading.
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When the default value for temperature variation is false, the map will show the temperature in specific year according to the Year input.
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</div>
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**Note**
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**Notes**
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The Year for Temperature Variation slider should only be used when you select the GlobalLandTemperaturesByCountry dataset.
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### Calculator
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#### Input Selection
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#### Inputs Selection
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The City has certain information about the air quality of that city you choose. Smoking is whether you smoke or not, if you smoke then select "yes". Exercise is whether you exercise or not, if you do, select "yes". Gene is whether your family has certain kind of gene that may cause disease, if they do, select "yes".
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<br/>
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<divstyle="text-align:center";width:200px>
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</div>
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#### Confidence Interval
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You can choose to display confidence interval around smooth.
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You can also choose to display confidence interval around smooth.
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