Can you write a Python Program in read a CSV and plot a bar graph. i am trying to write a program that allows a user to load one of two CSV files and then perform histogram analysis  and plots for select variables on the datasets. The first dataset represents the population change for  specific dates for U.S. regions. The second dataset represents Housing data over an extended period of  time describing home age, number of bedrooms and other variables. The first row provides a column  name for each dataset.

What is the difference between a scatter plot and a "regular plot" (plt.plot)?

When an author produces an index for his or her book, the first step in this process is to decide which words should go into the index; the second is to produce a list of the pages where each word occurs. Instead of trying to choose words out of our heads, we decided to let the computer produce a list of all the unique words used in the manuscript and their frequency of occurrence. We could then go over the list and choose which words to put into the index. The main object in this problem is a "word" with associated frequency. The tentative definition of "word" here is a string of alphanumeric characters between markers where markers are white space and all punctuation marks; anything non-alphanumeric stops the reading. If we skip all un-allowed characters before getting the string, we should have exactly what we want. Ignoring words of fewer than three letters will remove from consideration such as "a", "is", "to", "do", and "by" that do not belong in an index. In this project, you…

You will be using on RV related review comments to train a Sentence completion model. You could use the code below. The code is written in Jupyter notebook python.  please follow the following instructions: 1. Build a working sentence completion model. Training data is provided in train.csv. This model should take partial sentences (e.g., "hey how ar," "hello, please") and provide completion for that sentence. Not every input needs to be completed into a correct sentence (e.g., "asdfauaef" does not need to have a sentence completion). For this model's purposes, a sentence is considered completed if an "end of sentence" character (like a full stop, question mark, etc.) occurs within the next five words OR. We predict up to 5 words from the input. 2. BONUS: If you use word vectors or other techniques from what we shared in class using character encoding and have a working model. 3. The test data (test.csv) will be used to evaluate the model. The test file contains partial sentences. Use…

Find on the internet (or use a camera to take) three different types of images: an indoor scene, outdoor scenery, and a close-up scene of a single object. Write python code to implement an adaptive thresholding scheme to segment the images as best as you can and write a brief summary.

Write the algorithm in a flow chart. The arithmetic operations are limited to only addition, subtraction, multiplication, and division. You can use chart software such as Lucidchart, powerpoint, or Visio. Please export it to a pdf file (e.g., Q3.pdf) Implement the algorithm in C. Again the arithmetic operations are limited to only addition, subtraction, multiplication (in Q3 not in Q4), and division (in Q4 not in Q3). (e.g., Q3.c) Implement the algorithm for MARIE architecture (e.g., Q3_MARIE.mas) The numbers of instructions in Q3_INSTRS.docx (Word document) Q4. Logarithm (Iterative algorithm) - Use Q2   Get a user input of two positive integer numbers: A and B where A is a base and B is an exponent of A Calculate C= Log base A of B Print C   Test case: A=2, B=16 Output should be 4

Write a program to roll dices (use the “rand” function) for 36,000 times and then calculate the number of occurrences of each number (1 to 6) as well as the probability of each number using arrays IN C PROGRAMMING LANGUAGE AND COMMENT EVERY STEP IN DETAILS.