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9 changes: 9 additions & 0 deletions week1.md
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Monet Norales BCB502 Reflection #1

Source: https://www.carbonbrief.org/mapped-how-the-us-generates-electricity

The data visualization from this source is an interactive dipiction of the electricty sources for the United States. I chose this as my reflection piece because it reminded me of a friend who used to do a lot research on electricity generation methods and their effect on the environment. The depiction itself also caught my eye because of the ability to see the map in multiple views. The incorperation of the satillite images for both day and night are a fun addition to the greyscale view. This visualization shows the various methods of energy generation as well as their general locations in the country. The methods include low carbon, high carbon, biomass, coal, gas, geothermal, hydro, nuclear, oil, solar, storage, waste, wind, and other. Other represents the less popular and more scattered methods such as steam, phosphate, chemical, ect.

The animations for this image allow the user to view each method's energy output by size of the bubble as well as the general location. When hovering the mouse over each bubble, the user is also able to see the energy capacity, type of generation method being used, state it is found in, and year that each location opened. beside the country map, there is also a section that have a graphical representation of the generation methods that makes it easier for the user to immediatly identify the major sources of energy for the country, which in this case are gas and coal. The creator's of this visualization had the goal of making it eaiser to analyse the importance of the technologies and methods available for each state/region.

Futher down, there are other breakdowns of this information, including one showing the difference between now and ten years ago. I found the interactive one the most interesting and captivating in this case.
9 changes: 9 additions & 0 deletions week2.md
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Name: Monet Norales Title: Reflection 2 Date: January 24, 2022

Source: https://www.hhmi.org/news/unveiling-the-biggest-and-most-detailed-map-of-the-fly-brain-yet

This visualization is a depiction of the brain of a fruit fly. It is the most complete map ever created and the website shows various depictions of the neural connections that were found and recorded. The first animated display shows the layers and details in which the neurons connect to various parts in the brain. The second animated image is a clearer and more structured display of the pathes of the neurons within the brain of the fly. The third image is not animated but is a more understandable image of the amount of data that has been recorded. The blue highlighted region of this image is the same as what is dipicted in the first. Of the total of about 100,000 neurons in the fly brain, these visualizations show about 25,000 of those neurons.

I chose this visualization because i like more of the connections to biological uses. Also, This is a helpful in communicating the complexity of the brain along with all of its neural connections and pathways even in such a small organism. The data collection method for this endevor is also one to be acknowledged because of the amount of time and effort that goes into creating images such as these. According to the researchers, the microscopes used to capture data have to run continuously in order to get accurate reults.

If the researchers and scientist behind this project are able to complete the full mapping of the brain of a fly, there could be even more motivation to expand to more complex organisms. One of the goals mentioned in this article was of contributing to unlocking the mechanisms and networks that are involved in the formation of memories. Expanding the abilities and tehniques used in this research could be further developed and improved to be used as a method of uncovering more mysteries of the brains network and building a cleaer understanding of the structure, connections, and complexity of the human mind and its operations.
9 changes: 9 additions & 0 deletions week3.md
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Name: Monet Norales Title: Reflection 3 Date: January 31, 2022

Source: https://alpercinar.com/open-cell-id/ & https://www.opencellid.org/#zoom=16&lat=37.77889&lon=-122.41942

This visualization is a depiction of the cell tower distribution across the world. This data comes from OpenCelliD which is the world's largest database of licensed cell towers. The image display shows the cell tower locations as purple light points. A higher concentration of cell towers is indicated by increased brightness of the area. The locations of the towers on the map is determined by using the logitude and latitude coordinates of the towers. The type of tower – LTE (4G), UMTS (3G), GSM (2G), CDMA (2G) – is also used in this image. When the mouse is used to hover over an area, the total number of towers in the highlighted area is shown along with the number of each type of cell tower within that area is shown on the right of the screen. These counts are accompanied by a pie chart showing the ratio of the tpyes of towers being counted. In the pie chart, LTE is green, UMTS is blue, GSM is grey, and CDMA is orange.

The map in the visualization can be zoomed out to see every continent, or it can be zoomed in to see specific areas. When looking at the entire world view, Europe, Japan, and the United States appear to have the brightest areas and thus mean that they have the highest number and/or concentration of cell towers when compared to other areas of the world. I also think it is impotant to mention that this is purely a display of cell tower locations and not the area that the cell towers themselves cover. Below the visualization map, there is a small breakdown description with illustrations of how the code is functioning to organize and process the data for the display.

I chose this visualization because the image caught my attetion form the neon purple. It also reminded me of the MQP project my friend did reguarding the 5G cell towers and their placement and range for various types of geographies in different areas. This could be interesting to develop and add in the 5G cell towers. The second source is the OpenCelliD website which has another similar visualization. The obvious differences between these visualizations is that the OpenCelliD display has a search capability to search specific locationd and can be zoomed in as far as specific cell towers to show the Mobile Country Code (MCC), Mobile Network Code (MNC), Location Area Code (LAC), Cell Identity (CID), Radio Type, Latitude, Longitude, and Range. While the OpenCelliD visulaixation was a better and more indepth display, I appreciated that the alpercinar website had a small desciption of their algorithm.
7 changes: 7 additions & 0 deletions week4.md
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Name: Monet Norales Title: Reflection 4 Date: February 7, 2022

Source: http://manpopex.us/

This visualization is a depiction of the population of Manhattan. The image display shows the estimation of population dynamics or fluctuations through the period of a week on an hourly time frame. A higher concentration of people is indicated by darker colors as corresponds to the color key in the top right corner of the image. The towers on the map are representations of the population block by block. The map of manhattan can also be observed by district which can be chosen by checking off the desired districks from the option box underneath the color key. The user has also has the ability to use the sliders at the bottom of the screen to cycle through the week days as well as the hours in the day to see specific times. In the top right corner, the user can click "story" to see an information box in the top left corner that they can click through see the story that gives more information about the trends of the population in Manhattan. There is another tab that removes the story box and focuses more on the visualization. The third and final tab shows the same visualization from a top view and adds a box that give statistics for the day and hour selected which includes the peak population change for the day and the estimated population at that specified time.

The map in the visualization can be zoomed in more to see the block by block populations better. When looking at the entire view, this visualization could be used to analyze or understand where the most populated place are. For example, the increase in population during the week days could be explained by work day commuters. Information like this could be used to later assess the types of devlopments that should be placed in certain area or where transpotation access should be focused. The information for the estimations of population came from the Metropolitan Transportation Authority turnsite database. Because of the source of the data, a possible method of enhancing this visualization could be to include the transporation system to give information about which ones are busiest at certain times. Having all of that information together would allow people to make plans ahead of time for places and activities that are less populated or crowded if desired. It could also be used by commuters to find a more efficient travel time/method to get to and from work or help them understand why the commute is a certain way.
7 changes: 7 additions & 0 deletions week5.md
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Name: Monet Norales Title: Reflection 5 Date: February 14, 2022

Source: https://www.windfinder.com/#3/49.0955/-98.4375/nospots

The visulaization itself uses open source code from various projects. This visualization is a depiction of the wind forcasting for the globe. There is a key in the bottom left of the screen that shows the wind speeds by color and under the key a a record of the last update done and when the next update will occur to keep the visuaization accurate with the current and feauture predictions of the weather. The image itself shows the the wind forcast, speeds, and map along with the temperature, and precipitation predictions. The middle bottom of the screen has a option of choosing the day and time that the user wants to see the forcast for. The time is in the interval of three hours (i.e 7Am. 10Am...) The bottom right corner has two boxes. One box is used to help select locations of interest. The other box has interactive options of showing the particles or arrows to indicate the direction for wind speed, changing to show the air temperature, and the precipitation predictions. When one of these options is selected the bottom left bar changes to the necessary measurement. The map style can also be changed from this box between either gradient which shows the transition between measurements and edges which shows the more solid boundary lines. Under the option for map style is the forcast model which can be changed between superforcast and superforcast. However, the super forcast can only be shown over the united states and a potrion of Europe and a very small bit of Africa. It can also be choosen by hour instead of the three hour intervals. There is also a settings button in which the user can change the units and meaurments as well as the general settings for language and time format.

The map in the visualization can be zoomed in more to see the mapping of streets. When looking at the entire view, this visualization could be used to analyze or understand the weather patterns. This type of visualization was intended for water events (kitesurfers, windsurfers, sailors, paragliders, etc.) The information presented in this could be used to make plans for what times and day would be best to go out on the water. Aside from water events, this information can be used for various different businesses to minimize risks in things like construction when considering hieght, placement, positioning, and materials used in the development of a structure. Another option is using it for insite in the placement of wind power sources like wind turbines and the like to generate the highest yeild. Also keeping an eye on the wind movement/direction can help when monitoring storms or other weather concerns in order to better prepare for any possible intense or dangerous conditions.
9 changes: 9 additions & 0 deletions week6.md
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Name: Monet Norales Title: Reflection 6 Date: February 21, 2022

Source: https://graphics.reuters.com/world-coronavirus-tracker-and-maps/vaccination-rollout-and-access/

The vizualization for this week is something of a Covid-19 vaccination tracker.

This tracker has multiple representation of data which are used to help keep tract of the vaccinations based on region, income level, and country. It is also tracking the speed at which various countries are geeting vaccinated. This first image in the website is a spinning globe that can be move with the mouse. Individual countries that have records of vaccinations can be clicked on and the percentage of people who have hrecieved at least one dose and the percentage of people who are fully vaccinated will be displayed under the country name. The countries are shown as a green gradients. The brightness/saturation of the green is representative of the percent of people given at least one dose of the vaccine. The more doses result as a increase in saturation. The next image appears to be a time series from 450 days eariler up until the last reported day of vaccination. When the mouse hovers over a line, it gets highlighted in green and the country it applies to is stated to the right. The line is also is a 7 day rolling average of these dosage counts. The final vizualization is a plot showing the percent of the population given at least one dose sectioned by continent. Under each continent, there are circles that show the the perc entage per country and the circles are sized by the amount of people per country.

This is a useful vizualization in giving information of a countries vaccination status. There are small sections of information on the website also about the organization/operation that are collecting the data in order to make vizualizations like this possible. They have peaks of number of infections as well as deaths for each country that the data is avaliable for. It also has the vaccination phases that the country has released or has avaliable. With this information, it can be better viewed as to whcih counties need aid in being supplied vaccines and which have more coverage from the vaccines. Having multiple representations of similar/the same data can be helpful in engageing different people, gaining a clearer understanding, or reenforcing the infirmation.
5 changes: 5 additions & 0 deletions week7.md
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Name: Monet Norales Title: Reflection 7 Date: February 28, 2022

Source: https://pudding.cool/2017/03/film-dialogue/

The vizualization for this week is a large analysis of various screenplay dialogues broken down my gender and age. The images on the website transition between different visualizations. The blue represents lines of male characters and red represents lines of female characters. The first image considers disney movies and separates them based on the distribution ratio of male to female lines. As the user scrolls down the page the bars collapse to the left into small circles before transitioning to the top in a line. Those cicles are then multiplied to include 2000 screenplays instead of a few disney movies. Hovering over each dot can reveal the related screenplay along with the line distribution ratios. There is also a percentage marking to indicate the percentage majoirity for the movies. Again the transitioning between rede and blue becomes a white/grey which indicates being closer to a 50/50 split between male and female lines. Scrolling again, the thrid visualization is revealed throught the transition of the columns of circles ito lines which swing to the top to combine into one bar which can still be hovered over. This bar only considers high gross movies in the top 2500 US box office. These first three are all different representions of the gender ratios. Further down, there are bar graphs to show the percentages of total words by age for both genders. Even further down, there is another interactiive visualization which allows for the user to choose the percentage of lines by gender and also specifies how many ilms are included in each category. Each category can be selected individually and then a specific movies can be hovered over to see the number of words per character. All of the interactive images can be choosen by genre as well as just looking at all of them. Also the final image can be broken up by genre as well as decade. Having the website function in this way keeps it interesting and engaging for the user. There are various methods and representations used and the transitions between them are smooth. This is a fun and dynamic way of exploring information about movies, films, and screenplays. Having the color differences between genders also makes it easier to read and understand the information.