Update commit

_site/search.json

@@ -39,7 +39,7 @@
     "href": "index.html#question-2-how-did-the-trend-of-ufo-sightings-vary-over-years",
     "title": "Alien Encounters 🛸",
     "section": "Question 2: How did the trend of UFO sightings vary over years?",
-    "text": "Question 2: How did the trend of UFO sightings vary over years?\n\nIntroduction\nThe fascination with unidentified flying objects (UFOs) has attracted people worldwide for decades. Over the years, countless reports of UFO sightings have been documented and to gain a deeper understanding of UFO sightings and their trends, it is important to investigate how the frequency and patterns of sightings have changed over time. Density plots were used to identify the trend in UFO sightings over the years. Further, a bar plot was used to understand relation of the sightings with reference to the parts of a day.\n\n\nApproach\nWe started by making inferences from the previously generated plots in question 1. A new column was created to extract the year from the reported_date_time or reported_date_time_utc column. This allowed to group sightings by year. The number of sightings for each year was counted by grouping the data by the extracted year.\nTo show the trend of UFO sightings over the years, density plots were used. They will be helpful in understanding the temporal distribution of UFO sightings.\nA bar plot was used to see at which part of the day the sightings happened. This type of visualization can provide insights into the diurnal patterns of UFO sightings and helps in understanding if there are any specific times of day when sightings are more frequent. Additional aesthetics, such as background image to the plot was added to make the plot visually attractive.\nFinally, the resulting plots can be used to analyze how UFO sightings have changed over time, showing the pattern visually.\n\n\nAnalysis\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\nDiscussion\nThe density plots provide a visual representation of how UFO sightings have varied over the years. They allow us to observe patterns and trends of UFO sightings across the globe. Analyzing these trends help in understanding the factors that influence UFO sightings and their reporting across the world. For every continent, there has been an increase in the number of UFO sightings since the beginning of 21st century. Among all the continents, North America accounts for the highest value of density. Whereas, South America has the least value.\nFurther, the day_part column was considered to understand the pattern of UFO sightings accross different parts of the day.\nThe following image represents the types of twilight that may be helpful in understanding the plot in a better way.\n\n\n\nTypes of twilight - source: science.howstuffworks.com\n\n\nThe bar chart depicts the number of UFO sightings reported during different parts of the day. The y-axis represents the various segments of the day, categorized into nine distinct periods viz. Night, Afternoon, Astronomical dusk, Nautical dusk, Morning, Civil dusk, Astronomical dawn, Nautical dawn, and Civil dawn. The y-axis represents the number of UFO sightings reported for each of these day-parts.\nFrom the above image, it is clear that the parts of the twilight between night-day and day-night are called dawn and dusk respectively.\n\nThe chart reveals that the highest number of UFO sightings, reaching a staggering 47,372, during the night. This is followed by a significant drop in sightings during the afternoon, with 12,353 reports. Astronomical dusk and nautical dusk witness a further decline in sightings, with 10,182 and 7,523 sightings respectively. Morning records a slightly less number of sightings compared to nautical dusk, with 7,379 reports. Civil dusk, astronomical dawn, and nautical dawn witness a consistent decrease in sightings, with 3,384, 1,688, and 1,281 reports, respectively. The lowest number of UFO sightings, a mere 648 reports, occurs during civil dawn.\n\nOverall, the chart highlights a clear pattern of UFO sightings being predominantly reported during the night, with a decrease in sightings as the day progresses towards dawn. This suggests that darkness or reduced visibility might play a role in the increased frequency of UFO sightings during nighttime."
+    "text": "Question 2: How did the trend of UFO sightings vary over years?\n\nIntroduction\nThe fascination with unidentified flying objects (UFOs) has attracted people worldwide for decades. Over the years, countless reports of UFO sightings have been documented and to gain a deeper understanding of UFO sightings and their trends, it is important to investigate how the frequency and patterns of sightings have changed over time. Density plots were used to identify the trend in UFO sightings over the years. Further, a bar plot was used to understand relation of the sightings with reference to the parts of a day.\n\n\nApproach\nWe started by making inferences from the previously generated plots in question 1. A new column was created to extract the year from the reported_date_time or reported_date_time_utc column. This allowed to group sightings by year. The number of sightings for each year was counted by grouping the data by the extracted year.\nTo show the trend of UFO sightings over the years, density plots were used. They will be helpful in understanding the temporal distribution of UFO sightings.\nA bar plot was used to see at which part of the day the sightings happened. This type of visualization can provide insights into the diurnal patterns of UFO sightings and helps in understanding if there are any specific times of day when sightings are more frequent. Additional aesthetics, such as background image to the plot was added to make the plot visually attractive.\nFinally, the resulting plots can be used to analyze how UFO sightings have changed over time, showing the pattern visually.\n\n\nAnalysis\n\n\n\n\n\n\n\n\n\n\n\n\nDiscussion\nThe density plots provide a visual representation of how UFO sightings have varied over the years. They allow us to observe patterns and trends of UFO sightings across the globe. Analyzing these trends help in understanding the factors that influence UFO sightings and their reporting across the world. For every continent, there has been an increase in the number of UFO sightings since the beginning of 21st century. Among all the continents, North America accounts for the highest value of density. Whereas, South America has the least value.\nFurther, the day_part column was considered to understand the pattern of UFO sightings accross different parts of the day.\nThe following image represents the types of twilight that may be helpful in understanding the plot in a better way.\n\n\n\nTypes of twilight - source: science.howstuffworks.com\n\n\nThe bar chart depicts the number of UFO sightings reported during different parts of the day. The y-axis represents the various segments of the day, categorized into nine distinct periods viz. Night, Afternoon, Astronomical dusk, Nautical dusk, Morning, Civil dusk, Astronomical dawn, Nautical dawn, and Civil dawn. The y-axis represents the number of UFO sightings reported for each of these day-parts.\nFrom the above image, it is clear that the parts of the twilight between night-day and day-night are called dawn and dusk respectively.\n\nThe chart reveals that the highest number of UFO sightings, reaching a staggering 47,372, during the night. This is followed by a significant drop in sightings during the afternoon, with 12,353 reports. Astronomical dusk and nautical dusk witness a further decline in sightings, with 10,182 and 7,523 sightings respectively. Morning records a slightly less number of sightings compared to nautical dusk, with 7,379 reports. Civil dusk, astronomical dawn, and nautical dawn witness a consistent decrease in sightings, with 3,384, 1,688, and 1,281 reports, respectively. The lowest number of UFO sightings, a mere 648 reports, occurs during civil dawn.\n\nOverall, the chart highlights a clear pattern of UFO sightings being predominantly reported during the night, with a decrease in sightings as the day progresses towards dawn. This suggests that darkness or reduced visibility might play a role in the increased frequency of UFO sightings during nighttime."
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@@ -88,7 +88,7 @@
     "href": "proposal.html",
     "title": "Alien Encounters 🛸",
     "section": "",
-    "text": "Warning: package 'tidyverse' was built under R version 4.3.2\n\n\nWarning: package 'ggplot2' was built under R version 4.3.2\n\n\nWarning: package 'tidyr' was built under R version 4.3.2\n\n\nWarning: package 'readr' was built under R version 4.3.2\n\n\nWarning: package 'purrr' was built under R version 4.3.2\n\n\nWarning: package 'stringr' was built under R version 4.3.2\n\n\nWarning: package 'forcats' was built under R version 4.3.2\n\n\nWarning: package 'lubridate' was built under R version 4.3.2"
+    "text": "Code\n#> Loading the Dataset \n#> UFO_Sighting - \n\nufo <- read.csv(\"https://raw.githubusercontent.com/rfordatascience/tidytuesday/master/data/2023/2023-06-20/ufo_sightings.csv\")\n\n#> Places - \n\nplaces <- read.csv(\"https://raw.githubusercontent.com/rfordatascience/tidytuesday/master/data/2023/2023-06-20/places.csv\")\n\n\nThe UFO sightings Dataset is a rich collection of reports documenting encounters with unidentified flying objects (UFOs). Comprising diverse attributes, it offers valuable insights into these unexplained phenomena. This dataset has been sourced from the TidyTuesday project, a popular platform within the data science community, known for its weekly data visualization and data cleaning challenges. It was released as part of the TidyTuesday challenge on June 20, 2023.\nWith its multifaceted elements and global scope, it provides a comprehensive view of these unexplained phenomena. As we delve deeper into the data, we can uncover patterns, correlations, and insights that may shed light on the intriguing world of UFO sightings, offering both scientific and anecdotal perspectives on these enigmatic events. To provide an overview of the phenomenon, we have selected the ufo_sighting.csv and places.csv files from the provided dataset, each of which contains 96429 observations of 12 variables and 14417 instances of variables, respectively.\nUFO sightings are associated with unexplained aerial phenomena, making them a subject of enduring fascination. Researchers and enthusiasts are drawn to these sightings due to the mystery surrounding them, and they seek to uncover potential patterns or explanations. Our team discovered a shared interest in mysterious and scientifically curious occurrences, therefore we chose this dataset.\nThe following key variables were considered to develop the proposed analysis plan.\n\n\n\n\n\n\n\n\nVariable\nClass\nDescription\n\n\n\n\nreported_date_time\ndatetime\nThe time and date of the sighting, as it appears in the original NUFORC data.\n\n\nreported_date_time_utc\ndatetime\nThe time and date of the sighting, normalized to UTC.\n\n\ncity\ncharacter\nThe city of the sighting.\n\n\nstate\ncharacter\nThe state, province, or similar division of the sighting.\n\n\ncountry_code\ncharacter\nThe 2-letter country code of the sighting, normalized from the original data.\n\n\nday_part\ncharacter\nThe approximate part of the day in which the sighting took place such as “nautical twilight”, “sunrise”, and “sunset.”\n\n\nlatitude\ndouble\nThe latitude for this city, from geonames.org.\n\n\nlongitude\ndouble\nThe longitude for this city, from geonames.org.\n\n\nshape\ncharacter\nThe reported shape of the craft.\n\n\nduration_seconds\ndouble\nThe duration normalized to seconds."
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