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add gif to img/README, add reflection #51

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4 changes: 2 additions & 2 deletions README.md
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Expand Up @@ -23,7 +23,7 @@ Being unprepared for certain weather conditions can make or break a trip. Our mo

## Dashboard Preview and Description

[--- GIF will go here --]
<img src='img/demo.gif' width="1000" height="500">

Our dashboard is presents observed temperature and precipitation data from the [weather_forcasts.csv](https://github.com/rfordatascience/tidytuesday/blob/master/data/2022/2022-12-20/weather_forecasts.csv) in tidytuesday.

Expand All @@ -37,7 +37,7 @@ Based on these user selections, our app presents the following:
- A map showing the average temperature or precipitation levels based on the range chosen by the user. City points are coloured from low to high temperature or precipitation levels.
- A line plot showing the distribution of low and high observed temperatures and precipitation levels.

In the `City Ranking by Temp/Rain` tab, users select the US state of their interest, the month they would like to observe data for, and whether they would like to observe high or low temperature/precipitation records. Based on these selections, our app presents bar graphs for the top 10 cities in the specified state with the highest or lowest average monthly temperature/precipitation.
In the `City Ranking by Temp/Rain` tab, users select the US state of their interest, the month they would like to observe data for, and whether they would like to observe high or low temperature/precipitation records. Based on these selections, our app presents bar graphs for the cities ranking in the specified state with the highest or lowest average monthly temperature/precipitation.

## Installation

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6 changes: 4 additions & 2 deletions docs/reflection-milestone2.md
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Expand Up @@ -3,14 +3,16 @@

## What went well?

The project successfully tied the plots to the drop-down menus and fill-in options provided to users. The fundamental functionalists of the proposed plots were also implemented, and the overall design of the dashboard resembles it well.
The project successfully tied the plots to the drop-down menus and fill-in options provided to users. The fundamental functionalists of the proposed plots were also implemented, and the overall design of the dashboard resembles it well.

We were able to create two tabs: City Map with Temp/Rain Trends, and City Ranking by Temp/Rain. The City Map with Temp/Rain Trends tab allows users to select a range of months, cities and states, and observe temperature or precipitation levels. The app then presents summary metrics, a map showing the average temperature or precipitation levels, and a line plot showing the temperature or precipitation distribution. The City Ranking by Temp/Rain tab enables users to select a US state, and a specific month, and observe high or low temperature/precipitation records for the top 10 cities in that state.
We were able to create two tabs: City Map with Temp/Rain Trends, and City Ranking by Temp/Rain. The City Map with Temp/Rain Trends tab allows users to select a range of months, cities and states, and observe temperature or precipitation levels. The app then presents summary metrics, a map showing the average temperature or precipitation levels, and a line plot showing the temperature or precipitation distribution. The City Ranking by Temp/Rain tab enables users to select a US state, and a specific month, and observe high or low temperature/precipitation records in a specific state.

## What changed?

Originally, our aim was to create a map that shows the differences in temperature and precipitation by the state for a specific month. However, after considering that our data is primarily city-based and our dashboard is named `citytemp`, we decided to focus on displaying temperature and precipitation differences by cities instead.

In the second tab of the dashboard, we have cities ranked by temperature and precipitation in different states. Originally, in the sketch, we planned to have a bar chart that would display the top 10 states or cities with the highest temperature or precipitation. However, upon reflection, we decided to display a bar chart that shows the ranking of all cities in a particular state, as it is more informative for travelers who want to visit a specific state.

## Future improvements

Although we are satisfied with the functionalists we have implemented so far, there are still areas where we can improve the `citytemp` app. Firstly, we plan to redesign the app layout and theme to make it more aesthetically pleasing and user-friendly. Additionally, as our data only covers the period between `Jan 2021` and `Jun 2022`, we need to reconsider the range and label for the month range sliding window to provide users with a better understanding of the data's temporal limitation. We will also need to inform our dashboard of these limitations to ensure users could have a more general idea when using our dashboard.
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Binary file added img/demo.gif
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