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Of course, any given honeycomb with one of these letters will get only a tiny fraction of the points available to the letter. What letters have the most and least points? keep_all = TRUE ) letters_summarized % group_by ( letter ) %>% summarize ( n_words = n (), n_points = sum ( points )) %>% arrange ( desc ( n_points )) letters_summarized # A tibble: 25 x 3 library ( tidytext ) # unnest_tokens is a fast approach to splitting one-character-per-row letters_unnested % select ( word, points ) %>% unnest_tokens ( letter, word, token = "characters", drop = FALSE ) %>% distinct ( word, letter. Let’s quantify this, by looking at how many words each letter appears in, and how many total points they’d earn. The winning honeycomb is likely filled with common letters like E that appear in lots of words. Would you expect the winning honeycomb to have letters like X, Z, or Q? Neither would I. Heuristics: What letters appear in the highest-scoring words? It would take about 8 days to test every one this way. Since S is eliminated, there are 25 possible choices for the center letter, and \(24\choose 6\) (“24 choose 6”) possible combinations of outer letters, making 25 * choose(24, 6) = 3.36 million possible honeycombs. # … with 33 more rows sum ( honeycomb_words $ points ) # 153Ĭould we use this get_words() function to brute force every possible honeycomb? Only if we had a lot of time on our hands. get_words % filter ( str_detect ( word, center_letter )) %>% mutate ( invalid_letters = map ( letters, setdiff, all_letters )) %>% filter ( lengths ( invalid_letters ) = 0 ) %>% select ( word, points ) } honeycomb_words This data gives us a way to solve the December 24th Honeycomb puzzle that comes with the Riddler column. There are 44585 that are eligible to appear in a puzzle. # word word_length letters unique_letters points library ( tidyverse ) words % mutate ( word_length = str_length ( word )) %>% filter ( word_length >= 4, ! str_detect ( word, "s" )) %>% mutate ( letters = str_split ( word, "" ), letters = map ( letters, unique ), unique_letters = lengths ( letters )) %>% mutate ( points = ifelse ( word_length = 4, 1, word_length ) 7 * ( unique_letters = 7 )) %>% filter ( unique_letters % arrange ( desc ( points )) words # A tibble: 44,585 x 5 We’ll do this processing with tidyverse functions. Based on the above rules, these will have at least four letters, have no more than 7 unique letters, and never contain the letter S. Our first step is to process the word list for words that could appear in a honeycomb puzzle. So in the same spirit as my Tidy Tuesday screencasts, I recorded myself solving this puzzle (though not the process of turning it into a blog post). I don’t show all the dead ends and bugs, or explain why I ended up choosing a particular path. I’ve done a lot of puzzles recently, and I realized that showing the end result isn’t a representation of my thought process. As much as I love the tidyverse, this, like the “lost boarding pass” puzzle and Emily Robinson’s evaluation of the best Pokémon team, serves as a great example of using R’s matrix operations to work efficiently with data. Solving this puzzle in R is interesting enough, but it’s particularly challenging to do so in a computationally efficient way. Which seven-letter honeycomb results in the highest possible game score? To be a valid choice of seven letters, no letter can be repeated, it must not contain the letter S (that would be too easy) and there must be at least one pangram. So in the above example, MEGAPLEX is worth 15 points. Words that use all of the seven letters in the honeycomb are known as “pangrams” and earn 7 bonus points (in addition to the points for the length of the word). Four-letter words are worth 1 point each, while five-letter words are worth 5 points, six-letter words are worth 6 points, seven-letter words are worth 7 points, etc. For example, the words GAME and AMALGAM are both acceptable words. The word cannot include any letter beyond the seven given letters.The word must include the central letter.The word must be at least four letters long.The goal is to identify as many words that meet the following criteria: Here’s the lattice from December 24, 2019: In this game, seven letters are arranged in a honeycomb lattice, with one letter in the center. The New York Times recently launched some new word puzzles, one of which is Spelling Bee. I love 538’s Riddler column, and the January 3 puzzle is a fun one. 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The role is a blast to play, but it’s also a very vulnerable role since ADCs typically have a small health pool and no way to escape from an enemy they can’t take on by themselves. Unlike most Champions, ADCs find most of their damage through their auto-attacks, and the items they buy are centered almost entirely around boosting their DPS via these attacks. The first of the two roles in bot lane is ADC (Attack-Damage Carry), populated by ranged Champions that scale into the late game and do the highest DPS on the team. The bot lane (the curved lane on the bottom of the map) is the second most complex after jungle because each team has two members in the lane. Since she can stun enemies with ease thanks to her passive, Annie can consistently shut down incoming threats and kill them before they kill her. Master YiĪnnie is a little girl with a teddy bear - sounds a little underwhelming, right? Well, the teddy bear can spawn a much larger bear that’s ready to kill anyone near it, and Annie herself has fire-based abilities.Īnnie’s damage is less burst-oriented than Lux’s, but she’s generally more consistent and safe than Lux. Champions played in the Jungle role are typically versatile with either high damage output and/or good abilities for disabling enemies. Junglers have many responsibilities, namely maintaining the area and helping teammates as needed. You don’t even unlock Smite (the summoner spell required to play the role) until Level 9, so even the game doesn’t want you to start with it. Jungle (the areas between lanes) is by far the most difficult to play. This AOE stun (actually a knock-up) is easy to use and is great at teaching you how to optimize your positioning and look for great fight opportunities. Typically Malphite top builds tanky and uses his ultimate to stun large groups of people, allowing his team to lay in damage. Since this is such an important element of League, learning how it works on a champ like this is a great idea. There are a few reasons for this, but the biggest is that he is great for teamfighting. Malphite can be played as both a top laner or a support, but for learning the game I like him more as a top pick. That’s not to say they’re worse - there’s no correlation between difficulty and quality in League of Legends - they’re just easy to pick up and stay consistent all the way to high-level play. The Champions recommended in this guide are great for beginners because they aren’t particularly difficult to play. It sounds complicated, but I promise it isn’t. Let’s get started! Champion Mechanics 101īefore we get into the best beginner Champions LoL guide, let’s quickly go over some League of Legends basics.Įvery Champion has a basic attack (or “auto attack”), four active abilities, a passive ability, and two summoner spells. This guide on the best beginner Champions in LoL will help you identify which character is right for you based on your preferred role. Instead of worrying about all the complicated strategies, the most important thing a new player can do is try and figure out what kind of Champion they enjoy playing the most. Just like other MOBAs, the game is so complex that trying to comprehend all its mechanics and quirks right at the beginning simply isn’t possible. League of Legends is a challenging game to learn. You will see symbols for apps show up on your Fitbit.Īpps can include Weather, Alarms, Agenda, Fitbit Pay, Spotify, Pandora, Strava, and Deezer. What are the various app symbols on the Fitbit? The screen-like shape with the water droplet are for the water lock setting, which locks the display to keep it safe from moisture intrusion. The half-moon with the Z next to it indicates number of hours slept, and the musical notes reference your music controls. Some will be obvious, with a human figure running, walking, or doing ellipticals. You will see the fire icon, chevrons, and many others. There are quite a few icons on the Fitbit 4. Slide the particular stat up or down, moving it into the position you want it to be in.
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