Questions tagged [data-analysis]

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19 views

Matplotlib : ValueError: shape mismatch: objects cannot be broadcast to a single shape [closed]

Getting the below error for plotting a bar graph. Kindly help. ...
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0answers
6 views

What is an appropriate statistical method for determining correlations between variables with likert scale data?

I am conducting an exploratory analysis with a dataset of about 200 records (all likert scales (numeric)). I aim to determine the correlations between the different variables that the responses ...
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16 views

What types of variables are these? And what types of tests could I run?

So, I recently made a sheet of data collected from the 2010 Census on Cincinnati neighborhoods. The data is from demographics about the neighborhoods of the city such as median household income and ...
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39 views

Forecasting future close returns

I have end-of-day time-series dataset with following data Ticker Date Open High Low Close Volume I have calculated end-of-day closing returns ...
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1answer
47 views

Analysis of sales performance

This is my first question on this stackexchange - i hope i'm in the right place and i'm asking the right question. I work for a business, we sell certain products. We are running a trial currently on ...
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1answer
22 views

How to asses employees performance using their data? [closed]

I have some employees' data consisting of three variables - the name of the employee, a value denoting their positive behavior and a value denoting their negative behavior. How to score employees ...
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3answers
25 views

How to treat column with potentially meaningful NaNs

My data set has a column that indicates the time taken (in days) for members on a site - each with an ID - to sign up for an event. This can range between 1 to 300 days, with about half of the rows ...
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16 views

Detecting specific points in (noisy) dataset

In my recent work I've came across a problem where I need to find certain points in quickly oscillating data. Let's work with syntethic data instead of real measurements and ignore the noise for the ...
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1answer
15 views

Analysis for basic weight training analysis?

TL;DR: I'm doing a fairly basic project which involves exercise. It seems that descriptive statistics and basic data vis (ex: line graph) would be most appropriate for this project, but I wonder if ...
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22 views

Adaptive vs non-adaptive data analysis

I am new to data science and machine learning, and have recently come across the term 'adaptive data analysis'. One university course describes the difference between adaptive and non-adaptive data ...
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20 views

Best Method for Data Analysis on a 100 numerical IVs and 200 numerical DVs

I think I might need the help of this valuable community for a task. I have been given a dataset for 100 numerical independent variables (IVs) that predict output for 200 numerical values (from monte ...
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0answers
15 views

Plot line at X axis based on Values of Y axis - maplotlib/seaborn

I have made a dist plot and now I want to plot a line on the x-axis based on the value of the y-axis. ie. I want to plot a line at various maximas/peaks and also shade a portion of the x-axis between ...
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0answers
22 views

Filling 2 different values for missing/NaN columns

I am doing a binary classification problem (TARGET = 0 or 1). My dataset contains some NaN ...
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1answer
27 views

Best way for correlation analysis

I am looking for an alternative way of analysing my data which will be used for ML. I am using Matlab to implement my code. Using my code, I obtain arrays which are used to describe signals. Each ...
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4answers
240 views

Math PhD (Nonlinear Programming) switching to Data Science?

I am a math Ph.D. student who is interested in going to the industry as a Data Scientist after graduation. I will briefly give some background on my education before posing my question, so that it is ...
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0answers
7 views

Predicting when the State of a variable will change based on past behavior

I have a equipment which Has two possible states, Responding & Not Responding, I have with me the amount of time the equipment spent over the last couple of months being in both the states, for ...
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2answers
153 views

Plotting Stacked Histogram for Time-series data

Given the dataset: ...
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0answers
6 views

What could be a Replacement Level to calculate some sort of a Wins Above Replacements for an Ecommerce business

I'm trying to create a metric for an ecommerce business. Just like Wins Above Replacements is a metric used in baseball to assess the achievements of a player as compared to a standard replacement ...
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0answers
17 views

Sampling user IDs from a large data set for retention analysis

Let's say I have a data set with user identities and their respective orders, of the form: ...
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0answers
12 views

Ideas to derive new column or eliminate a column for Logistic Regression problem related to binary classification

I am working on a Logistic Regression problem to identify the leads that result into a student conversion for candidature. I have 2 columns in the dataset 'Last Activity' and 'Last Notable Activity' ...
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1answer
18 views

Causation vs correlation problem in case of fixing other parameters and changing only one

I have a game that players play. D7 retention is defined as percentage of players who installed my game and after exactly 7 days later they played my game. Now I am doing analytics and it shows that ...
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1answer
73 views

How Retail Analytics Project Can Be Done?

I have a project and I couldn't understand what I have to do because I am new with retail analytics. They said "Our goal is to measure the effects of promotion on sales" and "Your goal is to model ...
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0answers
8 views

Smoothing a random noise causes undesirable results

I have some sample data with 7 features out of which only one feature is different. All other 6 features are same. But I add white noise to the data and multiply it with a factor to test some ML ...
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2answers
48 views

I have a 20.2 GB dataset which is entirely consisting of 1 file. Need help on how to open the file [closed]

Whenever I am dealing with datasets that have weird extensions that I have not encountered before, I typically open them with notepad to see how the data looks like before using pandas to analyze them....
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1answer
26 views

Handling unwanted negative numbers

With me is a dataset collected from IoT sensors with one column labeled “Soil Humidity” measured in percentage. It stands to reason then that all the values be positive percentages, however there’s a ...
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0answers
13 views

can macd be calculated for values other than 12 and 26?

I am working on time-series classification problem using CNN. The dataset used is financial stock market data(like yahoo finance). I am using some technical indicators calculated using raw values high,...
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1answer
60 views

counter vector fit transform cosine similarity memory error

count_matrix = count.fit_transform(off_data3['bag_of_words']) I have count_matrix shape with count_matrix.shape (476147, 482824) ...
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1answer
26 views

Is it possible retrive hourly data from daily weather data?

I'm a beginner, so sorry if my question could be basic. Reading on internet I've found example written in python that makes the reverse of my questions (covert from daily to monthly). My problem is ...
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0answers
7 views

How to process data quickly for users in a web app?

I am building a site that will let users add custom data. Users basically fill in various input/text fields as they are working on their projects. The data will go into a postgresql database (so it is ...
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0answers
8 views

Analysis on the 5 segment of the data to differentiate from each other using R

I have 1000 customers operational data which is already divided into segments. Now I have to do analysis on different segments to find out how they differ from each other. Why they fall into their ...
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0answers
20 views

Class Size Imbalance for LDA or any other Content based analysis

I am running some content analysis studies on my dataset which has two different classes, and each class has a respective list of the document I am analyzing. I compare the LDA topic model inference ...
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1answer
40 views

Simple EDA: what to visualize?

I want to visualize a data set for EDA having 8 parameters and 2 class labels. I am confused which parameters to select and on what basis? Also is I want to know whether it would be better to apply ...
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1answer
773 views

ValueError: pos_label=1 is not a valid label: array(['N', 'Y'], dtype='<U1')

X = train_encoded_df.iloc[:, 1: ] y = train_encoded_df["Loan_Status"] print("Precision:",metrics.precision_score(y_test, y_pred)) My training data contains the ...
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0answers
9 views

Finding relative performance of products during certain hours?

Let's say I'm running a bar and I want to know what drinks sell better than normal during happy hour or during certain events. Is there a name for this problem? I'm sure this is a common problem, but ...
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1answer
37 views

Plot misclassfied values in matplotlib

I have two lists. One is target and another is predicted values in a binary classification. The target is always zero. And I have to plot the results of the prediction against target in such a way, ...
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1answer
34 views

Data analytics in road transportation

What kind of insights can we give from point A to point B transactions. A and B are two places, All I can think of is about descriptive statistics like how many transactions from A and what is count ...
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1answer
40 views

In which CRAN mirror is the quadprog package available?

I was trying to find the accuracy of some predicted data and I came to know that I can use the forecast package to do this. When I installed it and gave library(forecast), it said it needs quadprog ...
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2answers
24 views

why One-Hot Encoder can avoid the situation that the model will misunderstand the data to be in some kind of order if the data has been Label Encoding

We know that we prefer to using One-Hot Encoding not Label Encoding when processing with non-ordinal data. And I real a blog which give the difference between Label Encoding and One-Hot Encoding. So ...
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0answers
12 views

Automated Spatial data mining tools in python

How can spatial data raster be processed in order to apply random forest prediction algorithm on it using python programming language?
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1answer
28 views

comparing data from first quarter in two years

How can I compare data from two quarters? What software can I use to do it parallelly side by side so I can compare them. What kind of factors can I take into consideration, I'm posting a sample data ...
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1answer
143 views

No target variable in my data

I have a list of transactions of bus route from place to place, I don't have any target variable here. I was asked to give meaningful insights from the data, what can I do here? I cleaned the data, ...
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2answers
44 views

White noise seasonality

Is the above graph a white noise? I'm confused by the spikes at certain places. The above plot has been obtained after doing a first order differencing on a time series. How can I justify whether ...
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0answers
48 views

Model for time series analysis

I'm new to data analysis and ML in general. I'm working with some friends on this problem: We're trying to predict when a component of a machine will stop working properly so the client can change it ...
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0answers
15 views

How to measure the success of a seasonal product or what should be the northstar KPI

Not sure if this is the right forum to post this question. This is more of a product management question, I searched all the communities in StackExchange and thought this might be the closest to ...
2
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1answer
27 views

How to figure out if the problem is time series Forecasting or not?

Recently I have encountered a time-series based, where I have a dataset which contains data for call-centers performance. The dataset contains information about the number of calls made by customers ...
2
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2answers
72 views

Possible Challenges for a Data Science Escape Room

Dear Data Science Community, as my project for my bachelorthesis I am working on a concept for a physical Data Science Escape Room. The goal of the escape room is to create awareness for data science ...
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1answer
260 views

Covariance as inner product

Why is covariance considered as inner product if there is no projection of one vector onto another? Right now I perceive this as just a multiplication of $x$ segment of vector($x_i - \bar{x}$) and $y$...
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2answers
1k views

how to create word2vec for phrases and then calculate cosine similarity

I have just started using word2vec and I have no idea how to create vectors (using word2vec) of two lists, each containing set of words and phrases and then how to calculate cosine similarity between ...
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0answers
22 views

Is there a better way to do run time analysis than this?

I currently have 2 different functions with options to vectorise them: acc_rej_sine(max_iter, algorithm=None) and ...
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2answers
35 views

How to get date columns in pandas?

I need a separate date column(in this format2018-10-08) in this table. please help. ...